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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2207.11511 | Ho Man Kwan | Ho Man Kwan and Shenghui Song | SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling | null | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Downsampling is widely adopted to achieve a good trade-off between accuracy
and latency for visual recognition. Unfortunately, the commonly used pooling
layers are not learned, and thus cannot preserve important information. As
another dimension reduction method, adaptive sampling weights and processes
regions that a... | [
{
"created": "Sat, 23 Jul 2022 13:01:55 GMT",
"version": "v1"
}
] | 2022-07-26 | [
[
"Kwan",
"Ho Man",
""
],
[
"Song",
"Shenghui",
""
]
] | Downsampling is widely adopted to achieve a good trade-off between accuracy and latency for visual recognition. Unfortunately, the commonly used pooling layers are not learned, and thus cannot preserve important information. As another dimension reduction method, adaptive sampling weights and processes regions that are... |
2406.14979 | Zihan Niu | Yuanjie Lyu, Zihan Niu, Zheyong Xie, Chao Zhang, Tong Xu, Yang Wang,
Enhong Chen | Retrieve-Plan-Generation: An Iterative Planning and Answering Framework
for Knowledge-Intensive LLM Generation | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite the significant progress of large language models (LLMs) in various
tasks, they often produce factual errors due to their limited internal
knowledge. Retrieval-Augmented Generation (RAG), which enhances LLMs with
external knowledge sources, offers a promising solution. However, these methods
can be misled by ... | [
{
"created": "Fri, 21 Jun 2024 08:45:52 GMT",
"version": "v1"
}
] | 2024-06-24 | [
[
"Lyu",
"Yuanjie",
""
],
[
"Niu",
"Zihan",
""
],
[
"Xie",
"Zheyong",
""
],
[
"Zhang",
"Chao",
""
],
[
"Xu",
"Tong",
""
],
[
"Wang",
"Yang",
""
],
[
"Chen",
"Enhong",
""
]
] | Despite the significant progress of large language models (LLMs) in various tasks, they often produce factual errors due to their limited internal knowledge. Retrieval-Augmented Generation (RAG), which enhances LLMs with external knowledge sources, offers a promising solution. However, these methods can be misled by ir... |
1902.07420 | Yitao Han | Yitao Han, Lingjie Duan, Rui Zhang | Jamming-assisted Eavesdropping over Parallel Fading Channels | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper advances the proactive eavesdropping research by considering a
practical half-duplex mode for the legitimate monitor and dealing with the
challenging case that the suspicious link opportunistically communicates over
parallel fading channels. To increase eavesdropping success probability, we
propose cogniti... | [
{
"created": "Wed, 20 Feb 2019 05:51:30 GMT",
"version": "v1"
}
] | 2019-02-21 | [
[
"Han",
"Yitao",
""
],
[
"Duan",
"Lingjie",
""
],
[
"Zhang",
"Rui",
""
]
] | This paper advances the proactive eavesdropping research by considering a practical half-duplex mode for the legitimate monitor and dealing with the challenging case that the suspicious link opportunistically communicates over parallel fading channels. To increase eavesdropping success probability, we propose cognitive... |
2210.00960 | Jiancong Xiao | Jiancong Xiao, Yanbo Fan, Ruoyu Sun, Jue Wang, Zhi-Quan Luo | Stability Analysis and Generalization Bounds of Adversarial Training | Published as a conference paper in NeurIPS2022 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In adversarial machine learning, deep neural networks can fit the adversarial
examples on the training dataset but have poor generalization ability on the
test set. This phenomenon is called robust overfitting, and it can be observed
when adversarially training neural nets on common datasets, including SVHN,
CIFAR-10... | [
{
"created": "Mon, 3 Oct 2022 14:21:46 GMT",
"version": "v1"
},
{
"created": "Mon, 31 Oct 2022 09:39:54 GMT",
"version": "v2"
}
] | 2022-11-01 | [
[
"Xiao",
"Jiancong",
""
],
[
"Fan",
"Yanbo",
""
],
[
"Sun",
"Ruoyu",
""
],
[
"Wang",
"Jue",
""
],
[
"Luo",
"Zhi-Quan",
""
]
] | In adversarial machine learning, deep neural networks can fit the adversarial examples on the training dataset but have poor generalization ability on the test set. This phenomenon is called robust overfitting, and it can be observed when adversarially training neural nets on common datasets, including SVHN, CIFAR-10, ... |
1806.00810 | William Farmer | William M. Farmer | A New Style of Proof for Mathematics Organized as a Network of Axiomatic
Theories | 14 pages. This is a longer, revised version with a modified title | null | null | null | cs.LO math.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A theory graph is a network of axiomatic theories connected with
meaning-preserving mappings called theory morphisms. Theory graphs are well
suited for organizing large bodies of mathematical knowledge. Traditional and
formal proofs do not adequately fulfill all the purposes that mathematical
proofs have, and they do... | [
{
"created": "Sun, 3 Jun 2018 15:18:01 GMT",
"version": "v1"
},
{
"created": "Sat, 1 Dec 2018 12:25:07 GMT",
"version": "v2"
}
] | 2018-12-04 | [
[
"Farmer",
"William M.",
""
]
] | A theory graph is a network of axiomatic theories connected with meaning-preserving mappings called theory morphisms. Theory graphs are well suited for organizing large bodies of mathematical knowledge. Traditional and formal proofs do not adequately fulfill all the purposes that mathematical proofs have, and they do n... |
1206.6487 | Csaba Szepesvari | Gabor Bartok (University of Alberta), Navid Zolghadr (University of
Alberta), Csaba Szepesvari (University of Alberta) | An Adaptive Algorithm for Finite Stochastic Partial Monitoring | Appears in Proceedings of the 29th International Conference on
Machine Learning (ICML 2012) | null | null | null | cs.LG cs.GT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a new anytime algorithm that achieves near-optimal regret for any
instance of finite stochastic partial monitoring. In particular, the new
algorithm achieves the minimax regret, within logarithmic factors, for both
"easy" and "hard" problems. For easy problems, it additionally achieves
logarithmic individu... | [
{
"created": "Wed, 27 Jun 2012 19:59:59 GMT",
"version": "v1"
}
] | 2012-07-03 | [
[
"Bartok",
"Gabor",
"",
"University of Alberta"
],
[
"Zolghadr",
"Navid",
"",
"University of\n Alberta"
],
[
"Szepesvari",
"Csaba",
"",
"University of Alberta"
]
] | We present a new anytime algorithm that achieves near-optimal regret for any instance of finite stochastic partial monitoring. In particular, the new algorithm achieves the minimax regret, within logarithmic factors, for both "easy" and "hard" problems. For easy problems, it additionally achieves logarithmic individual... |
2204.04937 | Piotr Gramacki | Krzysztof Rajda, {\L}ukasz Augustyniak, Piotr Gramacki, Marcin Gruza,
Szymon Wo\'zniak, Tomasz Kajdanowicz | Assessment of Massively Multilingual Sentiment Classifiers | Accepted for WASSA at ACL 2022 | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Models are increasing in size and complexity in the hunt for SOTA. But what
if those 2\% increase in performance does not make a difference in a production
use case? Maybe benefits from a smaller, faster model outweigh those slight
performance gains. Also, equally good performance across languages in
multilingual tas... | [
{
"created": "Mon, 11 Apr 2022 08:22:05 GMT",
"version": "v1"
}
] | 2022-04-12 | [
[
"Rajda",
"Krzysztof",
""
],
[
"Augustyniak",
"Łukasz",
""
],
[
"Gramacki",
"Piotr",
""
],
[
"Gruza",
"Marcin",
""
],
[
"Woźniak",
"Szymon",
""
],
[
"Kajdanowicz",
"Tomasz",
""
]
] | Models are increasing in size and complexity in the hunt for SOTA. But what if those 2\% increase in performance does not make a difference in a production use case? Maybe benefits from a smaller, faster model outweigh those slight performance gains. Also, equally good performance across languages in multilingual tasks... |
2209.02370 | Quang Pham | Quang Pham, Chenghao Liu, Steven C. H. Hoi | Continual Learning, Fast and Slow | arXiv admin note: substantial text overlap with arXiv:2110.00175 | null | null | null | cs.AI cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | According to the Complementary Learning Systems (CLS)
theory~\cite{mcclelland1995there} in neuroscience, humans do effective
\emph{continual learning} through two complementary systems: a fast learning
system centered on the hippocampus for rapid learning of the specifics,
individual experiences; and a slow learning ... | [
{
"created": "Tue, 6 Sep 2022 10:48:45 GMT",
"version": "v1"
},
{
"created": "Wed, 26 Oct 2022 12:27:25 GMT",
"version": "v2"
},
{
"created": "Sun, 9 Jul 2023 10:02:41 GMT",
"version": "v3"
}
] | 2023-07-11 | [
[
"Pham",
"Quang",
""
],
[
"Liu",
"Chenghao",
""
],
[
"Hoi",
"Steven C. H.",
""
]
] | According to the Complementary Learning Systems (CLS) theory~\cite{mcclelland1995there} in neuroscience, humans do effective \emph{continual learning} through two complementary systems: a fast learning system centered on the hippocampus for rapid learning of the specifics, individual experiences; and a slow learning sy... |
2002.11497 | Sanghyun Hong | Sanghyun Hong, Varun Chandrasekaran, Yi\u{g}itcan Kaya, Tudor
Dumitra\c{s}, Nicolas Papernot | On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient
Shaping | null | null | null | null | cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine learning algorithms are vulnerable to data poisoning attacks. Prior
taxonomies that focus on specific scenarios, e.g., indiscriminate or targeted,
have enabled defenses for the corresponding subset of known attacks. Yet, this
introduces an inevitable arms race between adversaries and defenders. In this
work, ... | [
{
"created": "Wed, 26 Feb 2020 14:04:16 GMT",
"version": "v1"
},
{
"created": "Thu, 27 Feb 2020 19:00:01 GMT",
"version": "v2"
}
] | 2020-03-02 | [
[
"Hong",
"Sanghyun",
""
],
[
"Chandrasekaran",
"Varun",
""
],
[
"Kaya",
"Yiğitcan",
""
],
[
"Dumitraş",
"Tudor",
""
],
[
"Papernot",
"Nicolas",
""
]
] | Machine learning algorithms are vulnerable to data poisoning attacks. Prior taxonomies that focus on specific scenarios, e.g., indiscriminate or targeted, have enabled defenses for the corresponding subset of known attacks. Yet, this introduces an inevitable arms race between adversaries and defenders. In this work, we... |
1703.09400 | Naeemul Hassan | Md Main Uddin Rony, Naeemul Hassan, Mohammad Yousuf | Diving Deep into Clickbaits: Who Use Them to What Extents in Which
Topics with What Effects? | null | null | null | null | cs.SI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The use of alluring headlines (clickbait) to tempt the readers has become a
growing practice nowadays. For the sake of existence in the highly competitive
media industry, most of the on-line media including the mainstream ones, have
started following this practice. Although the wide-spread practice of clickbait
makes... | [
{
"created": "Tue, 28 Mar 2017 05:07:38 GMT",
"version": "v1"
}
] | 2017-03-29 | [
[
"Rony",
"Md Main Uddin",
""
],
[
"Hassan",
"Naeemul",
""
],
[
"Yousuf",
"Mohammad",
""
]
] | The use of alluring headlines (clickbait) to tempt the readers has become a growing practice nowadays. For the sake of existence in the highly competitive media industry, most of the on-line media including the mainstream ones, have started following this practice. Although the wide-spread practice of clickbait makes t... |
2405.14977 | Robert Alexander Marsden | Mario D\"obler, Robert A. Marsden, Tobias Raichle, Bin Yang | A Lost Opportunity for Vision-Language Models: A Comparative Study of
Online Test-time Adaptation for Vision-Language Models | Accepted at CVPR 2024 MAT Workshop Community Track | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the realm of deep learning, maintaining model robustness against
distribution shifts is critical. This paper investigates test-time adaptation
strategies for vision-language models, with a specific focus on CLIP and its
variants. Through a systematic exploration of prompt-based techniques and
existing test-time ad... | [
{
"created": "Thu, 23 May 2024 18:27:07 GMT",
"version": "v1"
}
] | 2024-05-27 | [
[
"Döbler",
"Mario",
""
],
[
"Marsden",
"Robert A.",
""
],
[
"Raichle",
"Tobias",
""
],
[
"Yang",
"Bin",
""
]
] | In the realm of deep learning, maintaining model robustness against distribution shifts is critical. This paper investigates test-time adaptation strategies for vision-language models, with a specific focus on CLIP and its variants. Through a systematic exploration of prompt-based techniques and existing test-time adap... |
1712.00368 | Adrien Lagrange | Adrien Lagrange, Mathieu Fauvel, St\'ephane May and Nicolas Dobigeon | Hierarchical Bayesian image analysis: from low-level modeling to robust
supervised learning | null | null | null | null | cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Within a supervised classification framework, labeled data are used to learn
classifier parameters. Prior to that, it is generally required to perform
dimensionality reduction via feature extraction. These preprocessing steps have
motivated numerous research works aiming at recovering latent variables in an
unsupervi... | [
{
"created": "Fri, 1 Dec 2017 15:32:58 GMT",
"version": "v1"
}
] | 2017-12-04 | [
[
"Lagrange",
"Adrien",
""
],
[
"Fauvel",
"Mathieu",
""
],
[
"May",
"Stéphane",
""
],
[
"Dobigeon",
"Nicolas",
""
]
] | Within a supervised classification framework, labeled data are used to learn classifier parameters. Prior to that, it is generally required to perform dimensionality reduction via feature extraction. These preprocessing steps have motivated numerous research works aiming at recovering latent variables in an unsupervise... |
0710.3779 | Sumanth Gangasani | Sumanth Kumar Reddy Gangasani | Testing D-Sequences for their Randomness | 8 pages, 5 figures | null | null | null | cs.CR | null | This paper examines the randomness of d-sequences, which are decimal
sequences to an arbitrary base. Our motivation is to check their suitability
for application to cryptography, spread-spectrum systems and use as
pseudorandom sequence.
| [
{
"created": "Fri, 19 Oct 2007 20:18:42 GMT",
"version": "v1"
}
] | 2007-10-23 | [
[
"Gangasani",
"Sumanth Kumar Reddy",
""
]
] | This paper examines the randomness of d-sequences, which are decimal sequences to an arbitrary base. Our motivation is to check their suitability for application to cryptography, spread-spectrum systems and use as pseudorandom sequence. |
1409.3696 | Peter Bezd\u{e}k | Peter Bezd\v{e}k and Nikola Bene\v{s} and Ji\v{r}\'i Barnat and Ivana
\v{C}ern\'a | LTL Parameter Synthesis of Parametric Timed Automata | 23 pages, extended version | null | null | null | cs.FL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The parameter synthesis problem for parametric timed automata is undecidable
in general even for very simple reachability properties. In this paper we
introduce restrictions on parameter valuations under which the parameter
synthesis problem is decidable for LTL properties. The investigated bounded
integer parameter ... | [
{
"created": "Fri, 12 Sep 2014 10:53:32 GMT",
"version": "v1"
},
{
"created": "Fri, 4 Mar 2016 17:03:49 GMT",
"version": "v2"
}
] | 2016-03-07 | [
[
"Bezděk",
"Peter",
""
],
[
"Beneš",
"Nikola",
""
],
[
"Barnat",
"Jiří",
""
],
[
"Černá",
"Ivana",
""
]
] | The parameter synthesis problem for parametric timed automata is undecidable in general even for very simple reachability properties. In this paper we introduce restrictions on parameter valuations under which the parameter synthesis problem is decidable for LTL properties. The investigated bounded integer parameter sy... |
2009.01465 | Damla Cay | Damla \c{C}ay, Till Nagel, As{\i}m Evren Yanta\c{c} | Understanding User Experience of COVID-19 Maps through Remote
Elicitation Interviews | null | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | During the coronavirus pandemic, visualizations gained a new level of
popularity and meaning for a wider audience. People were bombarded with a wide
set of public health visualizations ranging from simple graphs to complex
interactive dashboards. In a pandemic setting, where large amounts of the world
population are ... | [
{
"created": "Thu, 3 Sep 2020 06:12:09 GMT",
"version": "v1"
}
] | 2020-09-04 | [
[
"Çay",
"Damla",
""
],
[
"Nagel",
"Till",
""
],
[
"Yantaç",
"Asım Evren",
""
]
] | During the coronavirus pandemic, visualizations gained a new level of popularity and meaning for a wider audience. People were bombarded with a wide set of public health visualizations ranging from simple graphs to complex interactive dashboards. In a pandemic setting, where large amounts of the world population are so... |
1401.3476 | Piero A. Bonatti | Piero A. Bonatti, Carsten Lutz, Frank Wolter | The Complexity of Circumscription in DLs | null | Journal Of Artificial Intelligence Research, Volume 35, pages
717-773, 2009 | 10.1613/jair.2763 | null | cs.LO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As fragments of first-order logic, Description logics (DLs) do not provide
nonmonotonic features such as defeasible inheritance and default rules. Since
many applications would benefit from the availability of such features, several
families of nonmonotonic DLs have been developed that are mostly based on
default log... | [
{
"created": "Wed, 15 Jan 2014 05:32:08 GMT",
"version": "v1"
}
] | 2014-01-16 | [
[
"Bonatti",
"Piero A.",
""
],
[
"Lutz",
"Carsten",
""
],
[
"Wolter",
"Frank",
""
]
] | As fragments of first-order logic, Description logics (DLs) do not provide nonmonotonic features such as defeasible inheritance and default rules. Since many applications would benefit from the availability of such features, several families of nonmonotonic DLs have been developed that are mostly based on default logic... |
1907.00719 | Sun Chunlong | Junyong Eom, Manabu Machida, Gen Nakamura, Goro Nishimura, and
Chunlong Sun | Expression of the peak time for time-domain boundary measurements in
diffuse light | null | null | null | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Light propagation through diffusive media can be described by the diffusion
equation in a space-time domain. Further, fluorescence can be described by a
system of coupled diffusion equations. This paper analyzes time-domain
measurements, which measure the temporal point-spread function (TPSF), at a
boundary of such d... | [
{
"created": "Thu, 27 Jun 2019 04:03:54 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Dec 2021 04:39:04 GMT",
"version": "v2"
}
] | 2021-12-09 | [
[
"Eom",
"Junyong",
""
],
[
"Machida",
"Manabu",
""
],
[
"Nakamura",
"Gen",
""
],
[
"Nishimura",
"Goro",
""
],
[
"Sun",
"Chunlong",
""
]
] | Light propagation through diffusive media can be described by the diffusion equation in a space-time domain. Further, fluorescence can be described by a system of coupled diffusion equations. This paper analyzes time-domain measurements, which measure the temporal point-spread function (TPSF), at a boundary of such dif... |
1909.03934 | Jan Karwowski | Jan Karwowski and Jacek Ma\'ndziuk | Double-oracle sampling method for Stackelberg Equilibrium approximation
in general-sum extensive-form games | null | Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI
2020, 2054-2061 | 10.1609/aaai.v34i02.5578 | null | cs.GT cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper presents a new method for approximating Strong Stackelberg
Equilibrium in general-sum sequential games with imperfect information and
perfect recall. The proposed approach is generic as it does not rely on any
specific properties of a particular game model. The method is based on
iterative interleaving of t... | [
{
"created": "Mon, 9 Sep 2019 15:34:04 GMT",
"version": "v1"
}
] | 2022-08-16 | [
[
"Karwowski",
"Jan",
""
],
[
"Mańdziuk",
"Jacek",
""
]
] | The paper presents a new method for approximating Strong Stackelberg Equilibrium in general-sum sequential games with imperfect information and perfect recall. The proposed approach is generic as it does not rely on any specific properties of a particular game model. The method is based on iterative interleaving of the... |
2204.11337 | Anastassia Kornilova | Anastassia Kornilova, Daniel Argyle, Vladimir Eidelman | An Item Response Theory Framework for Persuasion | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we apply Item Response Theory, popular in education and
political science research, to the analysis of argument persuasiveness in
language. We empirically evaluate the model's performance on three datasets,
including a novel dataset in the area of political advocacy. We show the
advantages of separatin... | [
{
"created": "Sun, 24 Apr 2022 19:14:11 GMT",
"version": "v1"
}
] | 2022-04-26 | [
[
"Kornilova",
"Anastassia",
""
],
[
"Argyle",
"Daniel",
""
],
[
"Eidelman",
"Vladimir",
""
]
] | In this paper, we apply Item Response Theory, popular in education and political science research, to the analysis of argument persuasiveness in language. We empirically evaluate the model's performance on three datasets, including a novel dataset in the area of political advocacy. We show the advantages of separating ... |
2306.11719 | Ayush Tewari | Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Joshua
B. Tenenbaum, Fr\'edo Durand, William T. Freeman, Vincent Sitzmann | Diffusion with Forward Models: Solving Stochastic Inverse Problems
Without Direct Supervision | Project page: https://diffusion-with-forward-models.github.io/ | null | null | null | cs.CV cs.GR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Denoising diffusion models are a powerful type of generative models used to
capture complex distributions of real-world signals. However, their
applicability is limited to scenarios where training samples are readily
available, which is not always the case in real-world applications. For
example, in inverse graphics,... | [
{
"created": "Tue, 20 Jun 2023 17:53:00 GMT",
"version": "v1"
},
{
"created": "Fri, 17 Nov 2023 04:17:34 GMT",
"version": "v2"
}
] | 2023-11-20 | [
[
"Tewari",
"Ayush",
""
],
[
"Yin",
"Tianwei",
""
],
[
"Cazenavette",
"George",
""
],
[
"Rezchikov",
"Semon",
""
],
[
"Tenenbaum",
"Joshua B.",
""
],
[
"Durand",
"Frédo",
""
],
[
"Freeman",
"William T.",
""
... | Denoising diffusion models are a powerful type of generative models used to capture complex distributions of real-world signals. However, their applicability is limited to scenarios where training samples are readily available, which is not always the case in real-world applications. For example, in inverse graphics, t... |
2011.08130 | Thomas Zimmermann | Paige Rodeghero, Thomas Zimmermann, Brian Houck, Denae Ford | Please Turn Your Cameras On: Remote Onboarding of Software Developers
during a Pandemic | 10 pages. Final version of the paper accepted at ICSE 2021 in the
SEIP track | null | null | null | cs.SE cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The COVID-19 pandemic has impacted the way that software development teams
onboard new hires. Previously, most software developers worked in physical
offices and new hires onboarded to their teams in the physical office,
following a standard onboarding process. However, when companies transitioned
employees to work f... | [
{
"created": "Mon, 16 Nov 2020 17:52:03 GMT",
"version": "v1"
},
{
"created": "Sun, 7 Mar 2021 03:33:28 GMT",
"version": "v2"
}
] | 2021-03-09 | [
[
"Rodeghero",
"Paige",
""
],
[
"Zimmermann",
"Thomas",
""
],
[
"Houck",
"Brian",
""
],
[
"Ford",
"Denae",
""
]
] | The COVID-19 pandemic has impacted the way that software development teams onboard new hires. Previously, most software developers worked in physical offices and new hires onboarded to their teams in the physical office, following a standard onboarding process. However, when companies transitioned employees to work fro... |
2109.01727 | Yiqing Hua | Yiqing Hua, Armin Namavari, Kaishuo Cheng, Mor Naaman, Thomas
Ristenpart | Increasing Adversarial Uncertainty to Scale Private Similarity Testing | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Social media and other platforms rely on automated detection of abusive
content to help combat disinformation, harassment, and abuse. One common
approach is to check user content for similarity against a server-side database
of problematic items. However, this method fundamentally endangers user
privacy. Instead, we ... | [
{
"created": "Fri, 3 Sep 2021 20:54:34 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Sep 2021 19:54:51 GMT",
"version": "v2"
},
{
"created": "Wed, 29 Sep 2021 22:02:14 GMT",
"version": "v3"
},
{
"created": "Mon, 4 Oct 2021 20:14:17 GMT",
"version": "v4"
}
] | 2021-10-06 | [
[
"Hua",
"Yiqing",
""
],
[
"Namavari",
"Armin",
""
],
[
"Cheng",
"Kaishuo",
""
],
[
"Naaman",
"Mor",
""
],
[
"Ristenpart",
"Thomas",
""
]
] | Social media and other platforms rely on automated detection of abusive content to help combat disinformation, harassment, and abuse. One common approach is to check user content for similarity against a server-side database of problematic items. However, this method fundamentally endangers user privacy. Instead, we ta... |
2104.09993 | Lo\"ic J\'ez\'equel | Loic Jezequel, Ngoc-Son Vu, Jean Beaudet, Aymeric Histace | Fine-grained Anomaly Detection via Multi-task Self-Supervision | null | L. J\'ez\'equel, N. -S. Vu, J. Beaudet and A. Histace,
"Fine-grained anomaly detection via multi-task self-supervision," 2021 17th
IEEE International Conference on Advanced Video and Signal Based Surveillance
(AVSS), 2021, pp. 1-8 | 10.1109/AVSS52988.2021.9663783 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Detecting anomalies using deep learning has become a major challenge over the
last years, and is becoming increasingly promising in several fields. The
introduction of self-supervised learning has greatly helped many methods
including anomaly detection where simple geometric transformation recognition
tasks are used.... | [
{
"created": "Tue, 20 Apr 2021 14:19:08 GMT",
"version": "v1"
},
{
"created": "Thu, 17 Mar 2022 09:53:56 GMT",
"version": "v2"
}
] | 2022-03-18 | [
[
"Jezequel",
"Loic",
""
],
[
"Vu",
"Ngoc-Son",
""
],
[
"Beaudet",
"Jean",
""
],
[
"Histace",
"Aymeric",
""
]
] | Detecting anomalies using deep learning has become a major challenge over the last years, and is becoming increasingly promising in several fields. The introduction of self-supervised learning has greatly helped many methods including anomaly detection where simple geometric transformation recognition tasks are used. H... |
2401.15865 | Sifan Zhou | Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun,
Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu | LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object
Detection | Accepted in ICLR 2024 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Due to highly constrained computing power and memory, deploying 3D
lidar-based detectors on edge devices equipped in autonomous vehicles and
robots poses a crucial challenge. Being a convenient and straightforward model
compression approach, Post-Training Quantization (PTQ) has been widely adopted
in 2D vision tasks.... | [
{
"created": "Mon, 29 Jan 2024 03:35:55 GMT",
"version": "v1"
}
] | 2024-01-30 | [
[
"Zhou",
"Sifan",
""
],
[
"Li",
"Liang",
""
],
[
"Zhang",
"Xinyu",
""
],
[
"Zhang",
"Bo",
""
],
[
"Bai",
"Shipeng",
""
],
[
"Sun",
"Miao",
""
],
[
"Zhao",
"Ziyu",
""
],
[
"Lu",
"Xiaobo",
""
... | Due to highly constrained computing power and memory, deploying 3D lidar-based detectors on edge devices equipped in autonomous vehicles and robots poses a crucial challenge. Being a convenient and straightforward model compression approach, Post-Training Quantization (PTQ) has been widely adopted in 2D vision tasks. H... |
2401.02582 | Daoan Zhang | Daoan Zhang, Junming Yang, Hanjia Lyu, Zijian Jin, Yuan Yao, Mingkai
Chen, Jiebo Luo | CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal
Models with Multiple Image Inputs | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When exploring the development of Artificial General Intelligence (AGI), a
critical task for these models involves interpreting and processing information
from multiple image inputs. However, Large Multimodal Models (LMMs) encounter
two issues in such scenarios: (1) a lack of fine-grained perception, and (2) a
tenden... | [
{
"created": "Fri, 5 Jan 2024 00:26:07 GMT",
"version": "v1"
}
] | 2024-01-08 | [
[
"Zhang",
"Daoan",
""
],
[
"Yang",
"Junming",
""
],
[
"Lyu",
"Hanjia",
""
],
[
"Jin",
"Zijian",
""
],
[
"Yao",
"Yuan",
""
],
[
"Chen",
"Mingkai",
""
],
[
"Luo",
"Jiebo",
""
]
] | When exploring the development of Artificial General Intelligence (AGI), a critical task for these models involves interpreting and processing information from multiple image inputs. However, Large Multimodal Models (LMMs) encounter two issues in such scenarios: (1) a lack of fine-grained perception, and (2) a tendency... |
1704.04205 | Maxim Buzdalov | Margarita Markina and Maxim Buzdalov | Hybridizing Non-dominated Sorting Algorithms: Divide-and-Conquer Meets
Best Order Sort | A two-page abstract of this paper will appear in the proceedings
companion of the 2017 Genetic and Evolutionary Computation Conference (GECCO
2017) | null | 10.1145/3067695.3076074 | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many production-grade algorithms benefit from combining an asymptotically
efficient algorithm for solving big problem instances, by splitting them into
smaller ones, and an asymptotically inefficient algorithm with a very small
implementation constant for solving small subproblems. A well-known example is
stable sort... | [
{
"created": "Thu, 13 Apr 2017 16:36:44 GMT",
"version": "v1"
}
] | 2017-04-14 | [
[
"Markina",
"Margarita",
""
],
[
"Buzdalov",
"Maxim",
""
]
] | Many production-grade algorithms benefit from combining an asymptotically efficient algorithm for solving big problem instances, by splitting them into smaller ones, and an asymptotically inefficient algorithm with a very small implementation constant for solving small subproblems. A well-known example is stable sortin... |
2402.06782 | Akbir M Khan Mr | Akbir Khan, John Hughes, Dan Valentine, Laura Ruis, Kshitij Sachan,
Ansh Radhakrishnan, Edward Grefenstette, Samuel R. Bowman, Tim Rockt\"aschel
and Ethan Perez | Debating with More Persuasive LLMs Leads to More Truthful Answers | For code please check: https://github.com/ucl-dark/llm_debate | null | null | null | cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Common methods for aligning large language models (LLMs) with desired
behaviour heavily rely on human-labelled data. However, as models grow
increasingly sophisticated, they will surpass human expertise, and the role of
human evaluation will evolve into non-experts overseeing experts. In
anticipation of this, we ask:... | [
{
"created": "Fri, 9 Feb 2024 21:05:01 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Feb 2024 22:09:52 GMT",
"version": "v2"
},
{
"created": "Thu, 30 May 2024 13:59:34 GMT",
"version": "v3"
},
{
"created": "Thu, 25 Jul 2024 23:32:21 GMT",
"version": "v4"
}
] | 2024-07-29 | [
[
"Khan",
"Akbir",
""
],
[
"Hughes",
"John",
""
],
[
"Valentine",
"Dan",
""
],
[
"Ruis",
"Laura",
""
],
[
"Sachan",
"Kshitij",
""
],
[
"Radhakrishnan",
"Ansh",
""
],
[
"Grefenstette",
"Edward",
""
],
[
... | Common methods for aligning large language models (LLMs) with desired behaviour heavily rely on human-labelled data. However, as models grow increasingly sophisticated, they will surpass human expertise, and the role of human evaluation will evolve into non-experts overseeing experts. In anticipation of this, we ask: c... |
2011.03841 | Jean Pablo Vieira de Mello | Jean Pablo Vieira de Mello, Lucas Tabelini, Rodrigo F. Berriel, Thiago
M. Paix\~ao, Alberto F. de Souza, Claudine Badue, Nicu Sebe, Thiago
Oliveira-Santos | Deep traffic light detection by overlaying synthetic context on
arbitrary natural images | null | Computers & Graphics (2020) | 10.1016/j.cag.2020.09.012 | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Deep neural networks come as an effective solution to many problems
associated with autonomous driving. By providing real image samples with
traffic context to the network, the model learns to detect and classify
elements of interest, such as pedestrians, traffic signs, and traffic lights.
However, acquiring and anno... | [
{
"created": "Sat, 7 Nov 2020 19:57:22 GMT",
"version": "v1"
},
{
"created": "Tue, 10 Nov 2020 02:30:51 GMT",
"version": "v2"
},
{
"created": "Thu, 10 Dec 2020 22:44:41 GMT",
"version": "v3"
}
] | 2020-12-14 | [
[
"de Mello",
"Jean Pablo Vieira",
""
],
[
"Tabelini",
"Lucas",
""
],
[
"Berriel",
"Rodrigo F.",
""
],
[
"Paixão",
"Thiago M.",
""
],
[
"de Souza",
"Alberto F.",
""
],
[
"Badue",
"Claudine",
""
],
[
"Sebe",
"Nicu... | Deep neural networks come as an effective solution to many problems associated with autonomous driving. By providing real image samples with traffic context to the network, the model learns to detect and classify elements of interest, such as pedestrians, traffic signs, and traffic lights. However, acquiring and annota... |
2309.15417 | Tobias Weinzierl | Peter Noble, Tobias Weinzierl | Parallel local time stepping for rigid bodies represented by
triangulated meshes | null | null | null | null | cs.MS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Discrete Element Methods (DEM), i.e.~the simulation of many rigid particles,
suffer from very stiff differential equations plus multiscale challenges in
space and time. The particles move smoothly through space until they interact
almost instantaneously due to collisions. Dense particle packings hence require
tiny ti... | [
{
"created": "Wed, 27 Sep 2023 05:46:57 GMT",
"version": "v1"
}
] | 2023-09-28 | [
[
"Noble",
"Peter",
""
],
[
"Weinzierl",
"Tobias",
""
]
] | Discrete Element Methods (DEM), i.e.~the simulation of many rigid particles, suffer from very stiff differential equations plus multiscale challenges in space and time. The particles move smoothly through space until they interact almost instantaneously due to collisions. Dense particle packings hence require tiny time... |
2404.09593 | Zepeng Ding | Zepeng Ding, Wenhao Huang, Jiaqing Liang, Deqing Yang, Yanghua Xiao | Improving Recall of Large Language Models: A Model Collaboration
Approach for Relational Triple Extraction | Accepted at LREC-COLING 2024 main conference | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Relation triple extraction, which outputs a set of triples from long
sentences, plays a vital role in knowledge acquisition. Large language models
can accurately extract triples from simple sentences through few-shot learning
or fine-tuning when given appropriate instructions. However, they often miss
out when extrac... | [
{
"created": "Mon, 15 Apr 2024 09:03:05 GMT",
"version": "v1"
}
] | 2024-04-16 | [
[
"Ding",
"Zepeng",
""
],
[
"Huang",
"Wenhao",
""
],
[
"Liang",
"Jiaqing",
""
],
[
"Yang",
"Deqing",
""
],
[
"Xiao",
"Yanghua",
""
]
] | Relation triple extraction, which outputs a set of triples from long sentences, plays a vital role in knowledge acquisition. Large language models can accurately extract triples from simple sentences through few-shot learning or fine-tuning when given appropriate instructions. However, they often miss out when extracti... |
1711.06837 | Iqbal H. Sarker | Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han | Identifying Recent Behavioral Data Length in Mobile Phone Log | 14th EAI International Conference on Mobile and Ubiquitous Systems:
Computing, Networking and Services (MobiQuitous 2017), Melbourne, Australia | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mobile phone log data (e.g., phone call log) is not static as it is
progressively added to day-by-day according to individ- ual's diverse behaviors
with mobile phones. Since human behavior changes over time, the most recent
pattern is more interesting and significant than older ones for predicting in-
dividual's beha... | [
{
"created": "Sat, 18 Nov 2017 10:10:51 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Dec 2017 06:32:43 GMT",
"version": "v2"
}
] | 2017-12-19 | [
[
"Sarker",
"Iqbal H.",
""
],
[
"Kabir",
"Muhammad Ashad",
""
],
[
"Colman",
"Alan",
""
],
[
"Han",
"Jun",
""
]
] | Mobile phone log data (e.g., phone call log) is not static as it is progressively added to day-by-day according to individ- ual's diverse behaviors with mobile phones. Since human behavior changes over time, the most recent pattern is more interesting and significant than older ones for predicting in- dividual's behavi... |
2209.15029 | Richard Brath | Richard Brath | Multimodal analogs to infer humanities visualization requirements | 6 pages, 11 figures. Visualization for Digital Humanities 2022 | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Gaps and requirements for multi-modal interfaces for humanities can be
explored by observing the configuration of real-world environments and the
tasks of visitors within them compared to digital environments. Examples
include stores, museums, galleries, and stages with tasks similar to
visualization tasks such as ov... | [
{
"created": "Thu, 29 Sep 2022 18:09:16 GMT",
"version": "v1"
}
] | 2022-10-03 | [
[
"Brath",
"Richard",
""
]
] | Gaps and requirements for multi-modal interfaces for humanities can be explored by observing the configuration of real-world environments and the tasks of visitors within them compared to digital environments. Examples include stores, museums, galleries, and stages with tasks similar to visualization tasks such as over... |
2301.09567 | Mathieu Marquis Bolduc | Mathieu Marquis Bolduc, Hau Nghiep Phan | Rig Inversion by Training a Differentiable Rig Function | Presented at Siggraph Asia '22 in Daegu, South Korea | SA '22: SIGGRAPH Asia 2022 Technical Communications, December
2022, Article No.: 15 | 10.1145/3550340.3564218 | null | cs.GR cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Rig inversion is the problem of creating a method that can find the rig
parameter vector that best approximates a given input mesh. In this paper we
propose to solve this problem by first obtaining a differentiable rig function
by training a multi layer perceptron to approximate the rig function. This
differentiable ... | [
{
"created": "Wed, 11 Jan 2023 20:21:58 GMT",
"version": "v1"
}
] | 2023-01-24 | [
[
"Bolduc",
"Mathieu Marquis",
""
],
[
"Phan",
"Hau Nghiep",
""
]
] | Rig inversion is the problem of creating a method that can find the rig parameter vector that best approximates a given input mesh. In this paper we propose to solve this problem by first obtaining a differentiable rig function by training a multi layer perceptron to approximate the rig function. This differentiable ri... |
2407.09984 | Yu Zhang | Yu Zhang, Haoyu Zhang, Yongxiang Zou, Houcheng Li and Long Cheng | Stabilizing Dynamic Systems through Neural Network Learning: A Robust
Approach | arXiv admin note: text overlap with arXiv:2309.08849 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Point-to-point and periodic motions are ubiquitous in the world of robotics.
To master these motions, Autonomous Dynamic System (DS) based algorithms are
fundamental in the domain of Learning from Demonstration (LfD). However, these
algorithms face the significant challenge of balancing precision in learning
with the... | [
{
"created": "Sat, 13 Jul 2024 19:13:43 GMT",
"version": "v1"
}
] | 2024-07-16 | [
[
"Zhang",
"Yu",
""
],
[
"Zhang",
"Haoyu",
""
],
[
"Zou",
"Yongxiang",
""
],
[
"Li",
"Houcheng",
""
],
[
"Cheng",
"Long",
""
]
] | Point-to-point and periodic motions are ubiquitous in the world of robotics. To master these motions, Autonomous Dynamic System (DS) based algorithms are fundamental in the domain of Learning from Demonstration (LfD). However, these algorithms face the significant challenge of balancing precision in learning with the m... |
2102.09009 | Louis Tiao | Louis C. Tiao, Aaron Klein, Matthias Seeger, Edwin V. Bonilla, Cedric
Archambeau, Fabio Ramos | BORE: Bayesian Optimization by Density-Ratio Estimation | preprint, under review | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Bayesian optimization (BO) is among the most effective and widely-used
blackbox optimization methods. BO proposes solutions according to an
explore-exploit trade-off criterion encoded in an acquisition function, many of
which are computed from the posterior predictive of a probabilistic surrogate
model. Prevalent amo... | [
{
"created": "Wed, 17 Feb 2021 20:04:11 GMT",
"version": "v1"
}
] | 2021-02-19 | [
[
"Tiao",
"Louis C.",
""
],
[
"Klein",
"Aaron",
""
],
[
"Seeger",
"Matthias",
""
],
[
"Bonilla",
"Edwin V.",
""
],
[
"Archambeau",
"Cedric",
""
],
[
"Ramos",
"Fabio",
""
]
] | Bayesian optimization (BO) is among the most effective and widely-used blackbox optimization methods. BO proposes solutions according to an explore-exploit trade-off criterion encoded in an acquisition function, many of which are computed from the posterior predictive of a probabilistic surrogate model. Prevalent among... |
1611.01761 | Konstantin Turitsyn | Petr Vorobev, Po-Hsu Huang, Mohamed Al Hosani, James L. Kirtley,
Konstantin Turitsyn | High-Fidelity Model Order Reduction for Microgrids Stability Assessment | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Proper modeling of inverter-based microgrids is crucial for accurate
assessment of stability boundaries. It has been recently realized that the
stability conditions for such microgrids are significantly different from those
known for large- scale power systems. While detailed models are available, they
are both compu... | [
{
"created": "Sun, 6 Nov 2016 11:50:06 GMT",
"version": "v1"
}
] | 2016-11-08 | [
[
"Vorobev",
"Petr",
""
],
[
"Huang",
"Po-Hsu",
""
],
[
"Hosani",
"Mohamed Al",
""
],
[
"Kirtley",
"James L.",
""
],
[
"Turitsyn",
"Konstantin",
""
]
] | Proper modeling of inverter-based microgrids is crucial for accurate assessment of stability boundaries. It has been recently realized that the stability conditions for such microgrids are significantly different from those known for large- scale power systems. While detailed models are available, they are both computa... |
1202.5482 | Richard McClatchey | Hanene Boussi Rahmouni, Kamran Munir, Mohammed Odeh and Richard
McClatchey | Risk-Driven Compliant Access Controls for Clouds | 9 pages, 3 figures. International Arab Conference on Information
Technology (ACIT 2011) / Riyadh, Saudi Arabia. December 2012 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There is widespread agreement that cloud computing have proven cost cutting
and agility benefits. However, security and regulatory compliance issues are
continuing to challenge the wide acceptance of such technology both from social
and commercial stakeholders. An important facture behind this is the fact that
clouds... | [
{
"created": "Fri, 24 Feb 2012 15:49:39 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Nov 2012 08:55:44 GMT",
"version": "v2"
}
] | 2012-11-14 | [
[
"Rahmouni",
"Hanene Boussi",
""
],
[
"Munir",
"Kamran",
""
],
[
"Odeh",
"Mohammed",
""
],
[
"McClatchey",
"Richard",
""
]
] | There is widespread agreement that cloud computing have proven cost cutting and agility benefits. However, security and regulatory compliance issues are continuing to challenge the wide acceptance of such technology both from social and commercial stakeholders. An important facture behind this is the fact that clouds a... |
2109.04954 | Gobinda Saha | Gobinda Saha and Kaushik Roy | Saliency Guided Experience Packing for Replay in Continual Learning | To appear in IEEE/CVF Winter Conference on Applications of Computer
Vision (WACV) 2023 | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Artificial learning systems aspire to mimic human intelligence by continually
learning from a stream of tasks without forgetting past knowledge. One way to
enable such learning is to store past experiences in the form of input examples
in episodic memory and replay them when learning new tasks. However,
performance o... | [
{
"created": "Fri, 10 Sep 2021 15:54:58 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Oct 2022 05:17:55 GMT",
"version": "v2"
}
] | 2022-10-13 | [
[
"Saha",
"Gobinda",
""
],
[
"Roy",
"Kaushik",
""
]
] | Artificial learning systems aspire to mimic human intelligence by continually learning from a stream of tasks without forgetting past knowledge. One way to enable such learning is to store past experiences in the form of input examples in episodic memory and replay them when learning new tasks. However, performance of ... |
1506.08907 | Sidharth Kashyap N | Sidharth N. Kashyap, Ade J. Fewings, Jay Davies, Ian Morris, Andrew
Thomas Thomas Green, Martyn F. Guest | Big Data at HPC Wales | Accepted for publication at the 'Big Data Analytics Workshop' - 2014
http://web.ornl.gov/sci/knowledgediscovery/CloudComputing/PDAC-SC14/BDAC-14-Agenda.htm | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes an automated approach to handling Big Data workloads on
HPC systems. We describe a solution that dynamically creates a unified cluster
based on YARN in an HPC Environment, without the need to configure and allocate
a dedicated Hadoop cluster. The end user can choose to write the solution in
any c... | [
{
"created": "Tue, 30 Jun 2015 00:18:11 GMT",
"version": "v1"
}
] | 2015-07-01 | [
[
"Kashyap",
"Sidharth N.",
""
],
[
"Fewings",
"Ade J.",
""
],
[
"Davies",
"Jay",
""
],
[
"Morris",
"Ian",
""
],
[
"Green",
"Andrew Thomas Thomas",
""
],
[
"Guest",
"Martyn F.",
""
]
] | This paper describes an automated approach to handling Big Data workloads on HPC systems. We describe a solution that dynamically creates a unified cluster based on YARN in an HPC Environment, without the need to configure and allocate a dedicated Hadoop cluster. The end user can choose to write the solution in any com... |
2205.11710 | Davide Modolo | Michael Dorkenwald, Fanyi Xiao, Biagio Brattoli, Joseph Tighe, Davide
Modolo | SCVRL: Shuffled Contrastive Video Representation Learning | CVPR 2022 - L3DIVU workshop | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose SCVRL, a novel contrastive-based framework for self-supervised
learning for videos. Differently from previous contrast learning based methods
that mostly focus on learning visual semantics (e.g., CVRL), SCVRL is capable
of learning both semantic and motion patterns. For that, we reformulate the
popular shu... | [
{
"created": "Tue, 24 May 2022 01:24:47 GMT",
"version": "v1"
}
] | 2022-05-25 | [
[
"Dorkenwald",
"Michael",
""
],
[
"Xiao",
"Fanyi",
""
],
[
"Brattoli",
"Biagio",
""
],
[
"Tighe",
"Joseph",
""
],
[
"Modolo",
"Davide",
""
]
] | We propose SCVRL, a novel contrastive-based framework for self-supervised learning for videos. Differently from previous contrast learning based methods that mostly focus on learning visual semantics (e.g., CVRL), SCVRL is capable of learning both semantic and motion patterns. For that, we reformulate the popular shuff... |
2406.05815 | Yinan Huang | Yinan Huang, Siqi Miao, Pan Li | What Can We Learn from State Space Models for Machine Learning on
Graphs? | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Machine learning on graphs has recently found extensive applications across
domains. However, the commonly used Message Passing Neural Networks (MPNNs)
suffer from limited expressive power and struggle to capture long-range
dependencies. Graph transformers offer a strong alternative due to their global
attention mech... | [
{
"created": "Sun, 9 Jun 2024 15:03:36 GMT",
"version": "v1"
}
] | 2024-06-11 | [
[
"Huang",
"Yinan",
""
],
[
"Miao",
"Siqi",
""
],
[
"Li",
"Pan",
""
]
] | Machine learning on graphs has recently found extensive applications across domains. However, the commonly used Message Passing Neural Networks (MPNNs) suffer from limited expressive power and struggle to capture long-range dependencies. Graph transformers offer a strong alternative due to their global attention mechan... |
1807.01748 | Pablo Fernandez Carmona | Pablo Fernandez Carmona, Michael Eichin, Alexandre Mayor, Harald
Regele, Martin Grossmann, Damien Charles Weber | Significant acceleration of development by automating quality assurance
of a medical particle accelerator safety system using a formal language
driven test stand | 6 pages, 9 figures, 21st IEEE Real Time Conference, 9-15 June 2018
Colonial Williamsburg, USA | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | At the Centre for Proton Therapy at the Paul Scherrer Institute cancer
patients are treated with a fixed beamline and in two gantries for ocular and
non-ocular malignancies, respectively. For the installation of a third gantry a
new patient safety system (PaSS) was developed and is sequentially being rolled
out to up... | [
{
"created": "Sat, 23 Jun 2018 12:43:04 GMT",
"version": "v1"
}
] | 2018-07-06 | [
[
"Carmona",
"Pablo Fernandez",
""
],
[
"Eichin",
"Michael",
""
],
[
"Mayor",
"Alexandre",
""
],
[
"Regele",
"Harald",
""
],
[
"Grossmann",
"Martin",
""
],
[
"Weber",
"Damien Charles",
""
]
] | At the Centre for Proton Therapy at the Paul Scherrer Institute cancer patients are treated with a fixed beamline and in two gantries for ocular and non-ocular malignancies, respectively. For the installation of a third gantry a new patient safety system (PaSS) was developed and is sequentially being rolled out to upda... |
2210.10618 | Chen Tang | Henglin Huang, Chen Tang, Tyler Loakman, Frank Guerin and Chenghua Lin | Improving Chinese Story Generation via Awareness of Syntactic
Dependencies and Semantics | null | AACL 2022 | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Story generation aims to generate a long narrative conditioned on a given
input. In spite of the success of prior works with the application of
pre-trained models, current neural models for Chinese stories still struggle to
generate high-quality long text narratives. We hypothesise that this stems from
ambiguity in s... | [
{
"created": "Wed, 19 Oct 2022 15:01:52 GMT",
"version": "v1"
}
] | 2022-10-20 | [
[
"Huang",
"Henglin",
""
],
[
"Tang",
"Chen",
""
],
[
"Loakman",
"Tyler",
""
],
[
"Guerin",
"Frank",
""
],
[
"Lin",
"Chenghua",
""
]
] | Story generation aims to generate a long narrative conditioned on a given input. In spite of the success of prior works with the application of pre-trained models, current neural models for Chinese stories still struggle to generate high-quality long text narratives. We hypothesise that this stems from ambiguity in syn... |
1905.08388 | Angel Beltre | Pankaj Saha, Angel Beltre, Madhusudhan Govindaraju | Exploring the Fairness and Resource Distribution in an Apache Mesos
Environment | null | 2018 IEEE 11th International Conference on Cloud Computing (CLOUD) | 10.1109/CLOUD.2018.00061 | null | cs.PF cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Apache Mesos, a cluster-wide resource manager, is widely deployed in massive
scale at several Clouds and Data Centers. Mesos aims to provide high cluster
utilization via fine grained resource co-scheduling and resource fairness among
multiple users through Dominant Resource Fairness (DRF) based allocation. DRF
takes ... | [
{
"created": "Tue, 21 May 2019 00:00:07 GMT",
"version": "v1"
}
] | 2019-05-22 | [
[
"Saha",
"Pankaj",
""
],
[
"Beltre",
"Angel",
""
],
[
"Govindaraju",
"Madhusudhan",
""
]
] | Apache Mesos, a cluster-wide resource manager, is widely deployed in massive scale at several Clouds and Data Centers. Mesos aims to provide high cluster utilization via fine grained resource co-scheduling and resource fairness among multiple users through Dominant Resource Fairness (DRF) based allocation. DRF takes in... |
2112.10332 | Limeng Dong | Limeng Dong, Hui-Ming Wang, Jiale Bai | Active Reconfigurable Intelligent Surface Aided Secure Transmission | Accepted by IEEE TVT | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reconfigurable Intelligent Surface (RIS) draws great attentions in academic
and industry due to its passive and low power consumption nature, and has
currently been used in physical layer security to enhance the secure
transmission. However, due to the existence of double fading effect on the
reflecting channel link ... | [
{
"created": "Mon, 20 Dec 2021 04:34:26 GMT",
"version": "v1"
}
] | 2021-12-21 | [
[
"Dong",
"Limeng",
""
],
[
"Wang",
"Hui-Ming",
""
],
[
"Bai",
"Jiale",
""
]
] | Reconfigurable Intelligent Surface (RIS) draws great attentions in academic and industry due to its passive and low power consumption nature, and has currently been used in physical layer security to enhance the secure transmission. However, due to the existence of double fading effect on the reflecting channel link be... |
2101.04799 | Ananda Samajdar | Ananda Samajdar, Michael Pellauer, Tushar Krishna | Self-Adaptive Reconfigurable Arrays (SARA): Using ML to Assist Scaling
GEMM Acceleration | null | null | null | null | cs.AR cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | With increasing diversity in Deep Neural Network(DNN) models in terms of
layer shapes and sizes, the research community has been investigating
flexible/reconfigurable accelerator substrates. This line of research has
opened up two challenges. The first is to determine the appropriate amount of
flexibility within an a... | [
{
"created": "Tue, 12 Jan 2021 23:20:23 GMT",
"version": "v1"
},
{
"created": "Sat, 23 Apr 2022 18:33:06 GMT",
"version": "v2"
}
] | 2022-04-26 | [
[
"Samajdar",
"Ananda",
""
],
[
"Pellauer",
"Michael",
""
],
[
"Krishna",
"Tushar",
""
]
] | With increasing diversity in Deep Neural Network(DNN) models in terms of layer shapes and sizes, the research community has been investigating flexible/reconfigurable accelerator substrates. This line of research has opened up two challenges. The first is to determine the appropriate amount of flexibility within an acc... |
2406.00723 | Hao Wu | Hao Wu | Throughput and Link Utilization Improvement in Satellite Networks: A
Learning-Enabled Approach | 5 pages, 6 figures | null | null | null | cs.NI cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Satellite networks provide communication services to global users with an
uneven geographical distribution. In densely populated regions, Inter-satellite
links (ISLs) often experience congestion, blocking traffic from other links and
leading to low link utilization and throughput. In such cases, delay-tolerant
traffi... | [
{
"created": "Sun, 2 Jun 2024 12:16:08 GMT",
"version": "v1"
}
] | 2024-06-04 | [
[
"Wu",
"Hao",
""
]
] | Satellite networks provide communication services to global users with an uneven geographical distribution. In densely populated regions, Inter-satellite links (ISLs) often experience congestion, blocking traffic from other links and leading to low link utilization and throughput. In such cases, delay-tolerant traffic ... |
2302.12250 | Dayal Singh Kalra | Dayal Singh Kalra and Maissam Barkeshli | Phase diagram of early training dynamics in deep neural networks: effect
of the learning rate, depth, and width | Accepted at NeurIPS 2023 (camera-ready version): Additional results
added for cross-entropy loss and effect on network output at initialization;
10+32 pages, 8+35 figures | null | null | null | cs.LG cond-mat.dis-nn | http://creativecommons.org/licenses/by/4.0/ | We systematically analyze optimization dynamics in deep neural networks
(DNNs) trained with stochastic gradient descent (SGD) and study the effect of
learning rate $\eta$, depth $d$, and width $w$ of the neural network. By
analyzing the maximum eigenvalue $\lambda^H_t$ of the Hessian of the loss,
which is a measure o... | [
{
"created": "Thu, 23 Feb 2023 18:59:30 GMT",
"version": "v1"
},
{
"created": "Tue, 24 Oct 2023 17:59:46 GMT",
"version": "v2"
}
] | 2023-10-25 | [
[
"Kalra",
"Dayal Singh",
""
],
[
"Barkeshli",
"Maissam",
""
]
] | We systematically analyze optimization dynamics in deep neural networks (DNNs) trained with stochastic gradient descent (SGD) and study the effect of learning rate $\eta$, depth $d$, and width $w$ of the neural network. By analyzing the maximum eigenvalue $\lambda^H_t$ of the Hessian of the loss, which is a measure of ... |
1908.00310 | Buddhika Nettasinghe | Buddhika Nettasinghe and Vikram Krishnamurthy | Maximum Likelihood Estimation of Power-law Degree Distributions via
Friendship Paradox based Sampling | Accepted to ACM Transactions on Knowledge Discovery from Data (2021) | null | null | null | cs.SI physics.data-an physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper considers the problem of estimating a power-law degree
distribution of an undirected network using sampled data. Although power-law
degree distributions are ubiquitous in nature, the widely used parametric
methods for estimating them (e.g. linear regression on double-logarithmic axes,
maximum likelihood es... | [
{
"created": "Thu, 1 Aug 2019 10:29:14 GMT",
"version": "v1"
},
{
"created": "Wed, 4 Sep 2019 01:00:12 GMT",
"version": "v2"
},
{
"created": "Mon, 28 Dec 2020 18:50:43 GMT",
"version": "v3"
},
{
"created": "Sun, 7 Mar 2021 19:42:49 GMT",
"version": "v4"
}
] | 2021-03-09 | [
[
"Nettasinghe",
"Buddhika",
""
],
[
"Krishnamurthy",
"Vikram",
""
]
] | This paper considers the problem of estimating a power-law degree distribution of an undirected network using sampled data. Although power-law degree distributions are ubiquitous in nature, the widely used parametric methods for estimating them (e.g. linear regression on double-logarithmic axes, maximum likelihood esti... |
2209.09580 | Pierre-Louis Roman | Martina Camaioni, Rachid Guerraoui, Jovan Komatovic, Matteo Monti,
Pierre-Louis Roman, Manuel Vidigueira, Gauthier Voron | Carbon: Scaling Trusted Payments with Untrusted Machines | This is an extended version of the paper appearing at IEEE TDSC 2024
under DOI 10.1109/TDSC.2024.3428617 with formal definitions, pseudocode, and
proofs added in appendices; these appendices correspond to the previous
version of this paper on arXiv (arXiv:2209.09580v2) | null | 10.1109/TDSC.2024.3428617 | null | cs.DC | http://creativecommons.org/licenses/by/4.0/ | This paper introduces Carbon, a high-throughput system enabling asynchronous
(safe) and consensus-free (efficient) payments and votes within a dynamic set
of clients. Carbon is operated by a dynamic set of validators that may be
reconfigured asynchronously, offering its clients eclipse resistance as well as
lightweig... | [
{
"created": "Tue, 20 Sep 2022 09:50:44 GMT",
"version": "v1"
},
{
"created": "Fri, 30 Sep 2022 09:26:59 GMT",
"version": "v2"
},
{
"created": "Thu, 15 Aug 2024 16:12:53 GMT",
"version": "v3"
}
] | 2024-08-16 | [
[
"Camaioni",
"Martina",
""
],
[
"Guerraoui",
"Rachid",
""
],
[
"Komatovic",
"Jovan",
""
],
[
"Monti",
"Matteo",
""
],
[
"Roman",
"Pierre-Louis",
""
],
[
"Vidigueira",
"Manuel",
""
],
[
"Voron",
"Gauthier",
"... | This paper introduces Carbon, a high-throughput system enabling asynchronous (safe) and consensus-free (efficient) payments and votes within a dynamic set of clients. Carbon is operated by a dynamic set of validators that may be reconfigured asynchronously, offering its clients eclipse resistance as well as lightweight... |
1305.5228 | Richard Mayr | Parosh Aziz Abdulla, Lorenzo Clemente, Richard Mayr, Sven Sandberg | Stochastic Parity Games on Lossy Channel Systems | 19 pages | null | null | EDI-INF-RR-1416 | cs.GT cs.LO | http://creativecommons.org/licenses/by/3.0/ | We give an algorithm for solving stochastic parity games with almost-sure
winning conditions on lossy channel systems, for the case where the players are
restricted to finite-memory strategies. First, we describe a general framework,
where we consider the class of 2.5-player games with almost-sure parity winning
cond... | [
{
"created": "Wed, 22 May 2013 18:43:54 GMT",
"version": "v1"
},
{
"created": "Thu, 13 Jun 2013 10:17:22 GMT",
"version": "v2"
}
] | 2013-06-14 | [
[
"Abdulla",
"Parosh Aziz",
""
],
[
"Clemente",
"Lorenzo",
""
],
[
"Mayr",
"Richard",
""
],
[
"Sandberg",
"Sven",
""
]
] | We give an algorithm for solving stochastic parity games with almost-sure winning conditions on lossy channel systems, for the case where the players are restricted to finite-memory strategies. First, we describe a general framework, where we consider the class of 2.5-player games with almost-sure parity winning condit... |
1012.2524 | Jaydip Sen | Jaydip Sen, Munir Sayyad, and Basavaraj Hooli | Convergence and Next Generation Networks | 67 pages, 11 figures, 4 tables. Bootk Chapter published in the book
"Future trends and Challenegs for ICT Standardization", pp. 107 - 192 | BooK: Future Trends and Challenges for ICT Standardization.
Editor: Ramjee Prasad, River Publishers, Aalborg, Denmark, 2010 | 10.13140/RG.2.1.2986.2640 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The communications sector is undergoing significant changes, with the
emergence of a number of platforms available to provide a different range of
services. Some of these platforms are complementary to each other, while others
are competitive, or can provide a valid substitute for some of the services
provided. Up ti... | [
{
"created": "Sun, 12 Dec 2010 08:28:25 GMT",
"version": "v1"
}
] | 2021-09-07 | [
[
"Sen",
"Jaydip",
""
],
[
"Sayyad",
"Munir",
""
],
[
"Hooli",
"Basavaraj",
""
]
] | The communications sector is undergoing significant changes, with the emergence of a number of platforms available to provide a different range of services. Some of these platforms are complementary to each other, while others are competitive, or can provide a valid substitute for some of the services provided. Up till... |
1705.03529 | Andre Puschmann | Andr\'e Puschmann, Paul Sutton, Ismael Gomez | Implementing NB-IoT in Software - Experiences Using the srsLTE Library | Appears in the proceedings of the Wireless Innovation Forum Europe
2017 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | NB-IoT is the 3GPP standard for machine-to-machine communications, recently
finalized within LTE release 13. This article gives a brief overview about this
new LTE-based radio access technology and presents a implementation developed
using the srsLTE software radio suite. We also carry out a performance study in
whic... | [
{
"created": "Tue, 9 May 2017 20:28:30 GMT",
"version": "v1"
}
] | 2017-05-11 | [
[
"Puschmann",
"André",
""
],
[
"Sutton",
"Paul",
""
],
[
"Gomez",
"Ismael",
""
]
] | NB-IoT is the 3GPP standard for machine-to-machine communications, recently finalized within LTE release 13. This article gives a brief overview about this new LTE-based radio access technology and presents a implementation developed using the srsLTE software radio suite. We also carry out a performance study in which ... |
2011.11635 | Sebastian Friedemann | Sebastian Friedemann (DATAMOVE), Bruno Raffin (DATAMOVE) | An elastic framework for ensemble-based large-scale data assimilation | null | null | null | null | cs.CE cs.DC physics.comp-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Prediction of chaotic systems relies on a floating fusion of sensor data
(observations) with a numerical model to decide on a good system trajectory and
to compensate nonlinear feedback effects. Ensemble-based data assimilation (DA)
is a major method for this concern depending on propagating an ensemble of
perturbed ... | [
{
"created": "Sat, 21 Nov 2020 11:23:43 GMT",
"version": "v1"
},
{
"created": "Wed, 25 Nov 2020 08:23:29 GMT",
"version": "v2"
}
] | 2020-11-26 | [
[
"Friedemann",
"Sebastian",
"",
"DATAMOVE"
],
[
"Raffin",
"Bruno",
"",
"DATAMOVE"
]
] | Prediction of chaotic systems relies on a floating fusion of sensor data (observations) with a numerical model to decide on a good system trajectory and to compensate nonlinear feedback effects. Ensemble-based data assimilation (DA) is a major method for this concern depending on propagating an ensemble of perturbed mo... |
1905.08204 | Duncan Brown | Karan Vahi, Mats Rynge, George Papadimitriou, Duncan A. Brown, Rajiv
Mayani, Rafael Ferreira da Silva, Ewa Deelman, Anirban Mandal, Eric Lyons,
Michael Zink | Custom Execution Environments with Containers in Pegasus-enabled
Scientific Workflows | 10 pages, 7 figures, submitted to eScience 2019 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Science reproducibility is a cornerstone feature in scientific workflows. In
most cases, this has been implemented as a way to exactly reproduce the
computational steps taken to reach the final results. While these steps are
often completely described, including the input parameters, datasets, and
codes, the environm... | [
{
"created": "Mon, 20 May 2019 16:41:20 GMT",
"version": "v1"
}
] | 2019-05-21 | [
[
"Vahi",
"Karan",
""
],
[
"Rynge",
"Mats",
""
],
[
"Papadimitriou",
"George",
""
],
[
"Brown",
"Duncan A.",
""
],
[
"Mayani",
"Rajiv",
""
],
[
"da Silva",
"Rafael Ferreira",
""
],
[
"Deelman",
"Ewa",
""
],... | Science reproducibility is a cornerstone feature in scientific workflows. In most cases, this has been implemented as a way to exactly reproduce the computational steps taken to reach the final results. While these steps are often completely described, including the input parameters, datasets, and codes, the environmen... |
2404.10289 | Max Kreminski | Max Kreminski | The Dearth of the Author in AI-Supported Writing | Published as a workshop paper at the In2Writing workshop at CHI 2024 | null | null | null | cs.HC cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We diagnose and briefly discuss the dearth of the author: a condition that
arises when AI-based creativity support tools for writing allow users to
produce large amounts of text without making a commensurate number of creative
decisions, resulting in output that is sparse in expressive intent. We argue
that the deart... | [
{
"created": "Tue, 16 Apr 2024 05:23:03 GMT",
"version": "v1"
}
] | 2024-04-17 | [
[
"Kreminski",
"Max",
""
]
] | We diagnose and briefly discuss the dearth of the author: a condition that arises when AI-based creativity support tools for writing allow users to produce large amounts of text without making a commensurate number of creative decisions, resulting in output that is sparse in expressive intent. We argue that the dearth ... |
1706.06714 | Van-Khanh Tran | Van-Khanh Tran and Le-Minh Nguyen | Neural-based Natural Language Generation in Dialogue using RNN
Encoder-Decoder with Semantic Aggregation | To be appear at SIGDIAL 2017. arXiv admin note: text overlap with
arXiv:1706.00134, arXiv:1706.00139 | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Natural language generation (NLG) is an important component in spoken
dialogue systems. This paper presents a model called Encoder-Aggregator-Decoder
which is an extension of an Recurrent Neural Network based Encoder-Decoder
architecture. The proposed Semantic Aggregator consists of two components: an
Aligner and a R... | [
{
"created": "Wed, 21 Jun 2017 01:07:02 GMT",
"version": "v1"
},
{
"created": "Sun, 25 Jun 2017 09:31:34 GMT",
"version": "v2"
},
{
"created": "Tue, 11 Jul 2017 14:47:13 GMT",
"version": "v3"
}
] | 2017-07-12 | [
[
"Tran",
"Van-Khanh",
""
],
[
"Nguyen",
"Le-Minh",
""
]
] | Natural language generation (NLG) is an important component in spoken dialogue systems. This paper presents a model called Encoder-Aggregator-Decoder which is an extension of an Recurrent Neural Network based Encoder-Decoder architecture. The proposed Semantic Aggregator consists of two components: an Aligner and a Ref... |
1009.2118 | Sahand Negahban | Sahand Negahban and Martin J. Wainwright | Restricted strong convexity and weighted matrix completion: Optimal
bounds with noise | null | null | null | null | cs.IT math.IT math.ST stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the matrix completion problem under a form of row/column weighted
entrywise sampling, including the case of uniform entrywise sampling as a
special case. We analyze the associated random observation operator, and prove
that with high probability, it satisfies a form of restricted strong convexity
with res... | [
{
"created": "Fri, 10 Sep 2010 23:08:58 GMT",
"version": "v1"
},
{
"created": "Sun, 15 May 2011 17:30:12 GMT",
"version": "v2"
}
] | 2011-05-17 | [
[
"Negahban",
"Sahand",
""
],
[
"Wainwright",
"Martin J.",
""
]
] | We consider the matrix completion problem under a form of row/column weighted entrywise sampling, including the case of uniform entrywise sampling as a special case. We analyze the associated random observation operator, and prove that with high probability, it satisfies a form of restricted strong convexity with respe... |
2109.11891 | Aishwarya Venkataramanan | Aishwarya Venkataramanan, Martin Laviale, C\'ecile Figus, Philippe
Usseglio-Polatera, C\'edric Pradalier | Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic
Image-based Classification | 13th International Conference on Computer Vision Systems (2021) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automatic classification of aquatic microorganisms is based on the
morphological features extracted from individual images. The current works on
their classification do not consider the inter-class similarity and intra-class
variance that causes misclassification. We are particularly interested in the
case where vari... | [
{
"created": "Fri, 24 Sep 2021 11:17:02 GMT",
"version": "v1"
}
] | 2021-09-27 | [
[
"Venkataramanan",
"Aishwarya",
""
],
[
"Laviale",
"Martin",
""
],
[
"Figus",
"Cécile",
""
],
[
"Usseglio-Polatera",
"Philippe",
""
],
[
"Pradalier",
"Cédric",
""
]
] | Automatic classification of aquatic microorganisms is based on the morphological features extracted from individual images. The current works on their classification do not consider the inter-class similarity and intra-class variance that causes misclassification. We are particularly interested in the case where varian... |
2406.18094 | Hiroaki Yamagiwa | Yunzhen He, Hiroaki Yamagiwa, Hidetoshi Shimodaira | Shimo Lab at "Discharge Me!": Discharge Summarization by Prompt-Driven
Concatenation of Electronic Health Record Sections | BioNLP @ ACL2024 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present our approach to the shared task "Discharge Me!" at
the BioNLP Workshop 2024. The primary goal of this task is to reduce the time
and effort clinicians spend on writing detailed notes in the electronic health
record (EHR). Participants develop a pipeline to generate the "Brief Hospital
Course... | [
{
"created": "Wed, 26 Jun 2024 06:10:20 GMT",
"version": "v1"
}
] | 2024-06-27 | [
[
"He",
"Yunzhen",
""
],
[
"Yamagiwa",
"Hiroaki",
""
],
[
"Shimodaira",
"Hidetoshi",
""
]
] | In this paper, we present our approach to the shared task "Discharge Me!" at the BioNLP Workshop 2024. The primary goal of this task is to reduce the time and effort clinicians spend on writing detailed notes in the electronic health record (EHR). Participants develop a pipeline to generate the "Brief Hospital Course" ... |
2303.07814 | Adam Goldbraikh | Adam Goldbraikh, Omer Shubi, Or Rubin, Carla M Pugh, Shlomi Laufer | MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for
Action Segmentation Using Sensor-Augmented Kinematics | 41 pages, 7 figures. Submitted to Pattern Recognition | null | null | null | cs.CV cs.LG cs.RO eess.IV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Action segmentation is a challenging task in high-level process analysis,
typically performed on video or kinematic data obtained from various sensors.
This work presents two contributions related to action segmentation on
kinematic data. Firstly, we introduce two versions of Multi-Stage Temporal
Convolutional Recurr... | [
{
"created": "Tue, 14 Mar 2023 11:44:58 GMT",
"version": "v1"
},
{
"created": "Fri, 12 Jul 2024 15:48:09 GMT",
"version": "v2"
}
] | 2024-07-15 | [
[
"Goldbraikh",
"Adam",
""
],
[
"Shubi",
"Omer",
""
],
[
"Rubin",
"Or",
""
],
[
"Pugh",
"Carla M",
""
],
[
"Laufer",
"Shlomi",
""
]
] | Action segmentation is a challenging task in high-level process analysis, typically performed on video or kinematic data obtained from various sensors. This work presents two contributions related to action segmentation on kinematic data. Firstly, we introduce two versions of Multi-Stage Temporal Convolutional Recurren... |
1903.04463 | Farzin Salek Shishavan | Farzin Salek, Min-Hsiu Hsieh, Javier R. Fonollosa | Publicness, Privacy and Confidentiality in the Single-Serving Quantum
Broadcast Channel | 23 pages, 1 figure, journal | null | null | null | cs.IT math.IT quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The 2-receiver broadcast channel is studied: a network with three parties
where the transmitter and one of the receivers are the primarily involved
parties and the other receiver considered as third party. The messages that are
determined to be communicated are classified into public, private and
confidential based o... | [
{
"created": "Mon, 11 Mar 2019 17:38:03 GMT",
"version": "v1"
}
] | 2019-03-12 | [
[
"Salek",
"Farzin",
""
],
[
"Hsieh",
"Min-Hsiu",
""
],
[
"Fonollosa",
"Javier R.",
""
]
] | The 2-receiver broadcast channel is studied: a network with three parties where the transmitter and one of the receivers are the primarily involved parties and the other receiver considered as third party. The messages that are determined to be communicated are classified into public, private and confidential based on ... |
2206.11541 | Mohammed Salah | Mohammed Salah, Mohammed Chehadah, Muhammed Humais, Mohammed Wahbah,
Abdulla Ayyad, Rana Azzam, Lakmal Seneviratne, and Yahya Zweiri | A Neuromorphic Vision-Based Measurement for Robust Relative Localization
in Future Space Exploration Missions | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Space exploration has witnessed revolutionary changes upon landing of the
Perseverance Rover on the Martian surface and demonstrating the first flight
beyond Earth by the Mars helicopter, Ingenuity. During their mission on Mars,
Perseverance Rover and Ingenuity collaboratively explore the Martian surface,
where Ingen... | [
{
"created": "Thu, 23 Jun 2022 08:39:05 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Oct 2022 08:25:59 GMT",
"version": "v2"
}
] | 2022-10-13 | [
[
"Salah",
"Mohammed",
""
],
[
"Chehadah",
"Mohammed",
""
],
[
"Humais",
"Muhammed",
""
],
[
"Wahbah",
"Mohammed",
""
],
[
"Ayyad",
"Abdulla",
""
],
[
"Azzam",
"Rana",
""
],
[
"Seneviratne",
"Lakmal",
""
],... | Space exploration has witnessed revolutionary changes upon landing of the Perseverance Rover on the Martian surface and demonstrating the first flight beyond Earth by the Mars helicopter, Ingenuity. During their mission on Mars, Perseverance Rover and Ingenuity collaboratively explore the Martian surface, where Ingenui... |
2105.09540 | Xiaolin Chen | Xiaolin Chen, Shuai Zhou, Bei guan, Kai Yang, Hao Fan, Hu Wang, Yongji
Wang | Fed-EINI: An Efficient and Interpretable Inference Framework for
Decision Tree Ensembles in Federated Learning | 10 pages, 8 figures. This work has been submitted to the IEEE for
possible publication. Copyright may be transferred without notice, after
which this version may no longer be accessible | null | null | null | cs.LG cs.AI cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The increasing concerns about data privacy and security drive an emerging
field of studying privacy-preserving machine learning from isolated data
sources, i.e., federated learning. A class of federated learning, vertical
federated learning, where different parties hold different features for common
users, has a grea... | [
{
"created": "Thu, 20 May 2021 06:40:05 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Dec 2021 03:34:46 GMT",
"version": "v10"
},
{
"created": "Wed, 8 Dec 2021 02:06:36 GMT",
"version": "v11"
},
{
"created": "Mon, 12 Jul 2021 08:09:39 GMT",
"version": "v2"
},
{
"c... | 2021-12-10 | [
[
"Chen",
"Xiaolin",
""
],
[
"Zhou",
"Shuai",
""
],
[
"guan",
"Bei",
""
],
[
"Yang",
"Kai",
""
],
[
"Fan",
"Hao",
""
],
[
"Wang",
"Hu",
""
],
[
"Wang",
"Yongji",
""
]
] | The increasing concerns about data privacy and security drive an emerging field of studying privacy-preserving machine learning from isolated data sources, i.e., federated learning. A class of federated learning, vertical federated learning, where different parties hold different features for common users, has a great ... |
2303.17661 | Muntabir Hasan Choudhury | Muntabir Hasan Choudhury, Lamia Salsabil, Himarsha R. Jayanetti, Jian
Wu, William A. Ingram, Edward A. Fox | MetaEnhance: Metadata Quality Improvement for Electronic Theses and
Dissertations of University Libraries | 7 pages, 3 tables, and 1 figure. Accepted by 2023 ACM/IEEE Joint
Conference on Digital Libraries (JCDL '23) as a short paper | null | null | null | cs.DL cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Metadata quality is crucial for digital objects to be discovered through
digital library interfaces. However, due to various reasons, the metadata of
digital objects often exhibits incomplete, inconsistent, and incorrect values.
We investigate methods to automatically detect, correct, and canonicalize
scholarly metad... | [
{
"created": "Thu, 30 Mar 2023 18:56:42 GMT",
"version": "v1"
}
] | 2023-04-03 | [
[
"Choudhury",
"Muntabir Hasan",
""
],
[
"Salsabil",
"Lamia",
""
],
[
"Jayanetti",
"Himarsha R.",
""
],
[
"Wu",
"Jian",
""
],
[
"Ingram",
"William A.",
""
],
[
"Fox",
"Edward A.",
""
]
] | Metadata quality is crucial for digital objects to be discovered through digital library interfaces. However, due to various reasons, the metadata of digital objects often exhibits incomplete, inconsistent, and incorrect values. We investigate methods to automatically detect, correct, and canonicalize scholarly metadat... |
2405.09114 | Qihe Pan | Yiming Wu, Qihe Pan, Zhen Zhao, Zicheng Wang, Sifan Long, Ronghua
Liang | SOEDiff: Efficient Distillation for Small Object Editing | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we delve into a new task known as small object editing (SOE),
which focuses on text-based image inpainting within a constrained, small-sized
area. Despite the remarkable success have been achieved by current image
inpainting approaches, their application to the SOE task generally results in
failure cas... | [
{
"created": "Wed, 15 May 2024 06:14:31 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Jul 2024 21:30:41 GMT",
"version": "v2"
}
] | 2024-07-29 | [
[
"Wu",
"Yiming",
""
],
[
"Pan",
"Qihe",
""
],
[
"Zhao",
"Zhen",
""
],
[
"Wang",
"Zicheng",
""
],
[
"Long",
"Sifan",
""
],
[
"Liang",
"Ronghua",
""
]
] | In this paper, we delve into a new task known as small object editing (SOE), which focuses on text-based image inpainting within a constrained, small-sized area. Despite the remarkable success have been achieved by current image inpainting approaches, their application to the SOE task generally results in failure cases... |
2309.06844 | Dimitar Dimitrov | Georgi Pachov, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov | Gpachov at CheckThat! 2023: A Diverse Multi-Approach Ensemble for
Subjectivity Detection in News Articles | null | null | null | null | cs.CL cs.AI cs.MM | http://creativecommons.org/licenses/by-sa/4.0/ | The wide-spread use of social networks has given rise to subjective,
misleading, and even false information on the Internet. Thus, subjectivity
detection can play an important role in ensuring the objectiveness and the
quality of a piece of information. This paper presents the solution built by
the Gpachov team for t... | [
{
"created": "Wed, 13 Sep 2023 09:49:20 GMT",
"version": "v1"
}
] | 2023-09-14 | [
[
"Pachov",
"Georgi",
""
],
[
"Dimitrov",
"Dimitar",
""
],
[
"Koychev",
"Ivan",
""
],
[
"Nakov",
"Preslav",
""
]
] | The wide-spread use of social networks has given rise to subjective, misleading, and even false information on the Internet. Thus, subjectivity detection can play an important role in ensuring the objectiveness and the quality of a piece of information. This paper presents the solution built by the Gpachov team for the... |
2306.02287 | Mamtaj Akter | Mamtaj Akter, Leena Alghamdi, Jess Kropczynski, Heather Lipford,
Pamela Wisniewski | It Takes a Village: A Case for Including Extended Family Members in the
Joint Oversight of Family-based Privacy and Security for Mobile Smartphones | null | Extended Abstracts of the 2023 CHI Conference on Human Factors in
Computing Systems | 10.1145/3544549.3585904 | null | cs.HC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We conducted a user study with 19 parent-teen dyads to understand the
perceived benefits and drawbacks of using a mobile app that allows them to
co-manage mobile privacy, safety, and security within their families. While the
primary goal of the study was to understand the use case as it pertained to
parents and teens... | [
{
"created": "Sun, 4 Jun 2023 07:33:37 GMT",
"version": "v1"
},
{
"created": "Tue, 16 Apr 2024 03:31:03 GMT",
"version": "v2"
}
] | 2024-04-17 | [
[
"Akter",
"Mamtaj",
""
],
[
"Alghamdi",
"Leena",
""
],
[
"Kropczynski",
"Jess",
""
],
[
"Lipford",
"Heather",
""
],
[
"Wisniewski",
"Pamela",
""
]
] | We conducted a user study with 19 parent-teen dyads to understand the perceived benefits and drawbacks of using a mobile app that allows them to co-manage mobile privacy, safety, and security within their families. While the primary goal of the study was to understand the use case as it pertained to parents and teens, ... |
1909.10686 | Weiwei Wan | Daniel Sanchez, Weiwei Wan, and Kensuke Harada | Tethered Tool Manipulation Planning with Cable Maneuvering | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present a planner for manipulating tethered tools using
dual-armed robots. The planner generates robot motion sequences to maneuver a
tool and its cable while avoiding robot-cable entanglements. Firstly, the
planner generates an Object Manipulation Motion Sequence (OMMS) to handle the
tool and place... | [
{
"created": "Tue, 24 Sep 2019 02:55:43 GMT",
"version": "v1"
}
] | 2019-09-25 | [
[
"Sanchez",
"Daniel",
""
],
[
"Wan",
"Weiwei",
""
],
[
"Harada",
"Kensuke",
""
]
] | In this paper, we present a planner for manipulating tethered tools using dual-armed robots. The planner generates robot motion sequences to maneuver a tool and its cable while avoiding robot-cable entanglements. Firstly, the planner generates an Object Manipulation Motion Sequence (OMMS) to handle the tool and place i... |
2210.05419 | Yante Li | Yante Li, Yang Liu, Kh\'Anh Nguyen, Henglin Shi, Eija Vuorenmaa, Sanna
Jarvela, and Guoying Zhao | Exploring Interactions and Regulations in Collaborative Learning: An
Interdisciplinary Multimodal Dataset | 17 pages, 9 figures | null | null | null | cs.CV cs.DB | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Collaborative learning is an educational approach that enhances learning
through shared goals and working together. Interaction and regulation are two
essential factors related to the success of collaborative learning. Since the
information from various modalities can reflect the quality of collaboration, a
new multi... | [
{
"created": "Tue, 11 Oct 2022 12:56:36 GMT",
"version": "v1"
}
] | 2022-10-12 | [
[
"Li",
"Yante",
""
],
[
"Liu",
"Yang",
""
],
[
"Nguyen",
"KhÁnh",
""
],
[
"Shi",
"Henglin",
""
],
[
"Vuorenmaa",
"Eija",
""
],
[
"Jarvela",
"Sanna",
""
],
[
"Zhao",
"Guoying",
""
]
] | Collaborative learning is an educational approach that enhances learning through shared goals and working together. Interaction and regulation are two essential factors related to the success of collaborative learning. Since the information from various modalities can reflect the quality of collaboration, a new multimo... |
1901.02802 | Alireza Shamsoshoara | Alireza Shamsoshoara | Overview of Blakley's Secret Sharing Scheme | 8 pages, 4 Figures | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this report, I explained the problem of Secret Sharing Scheme. Then based
on the definition of the problem, two old methods: Blakley's Secret Sharing
Scheme and Shamir's Secret Sharing are introduced. However, we explained the
details of the first one since it's the topic of this work. Blakley's method
has an appl... | [
{
"created": "Wed, 9 Jan 2019 16:08:30 GMT",
"version": "v1"
}
] | 2019-01-10 | [
[
"Shamsoshoara",
"Alireza",
""
]
] | In this report, I explained the problem of Secret Sharing Scheme. Then based on the definition of the problem, two old methods: Blakley's Secret Sharing Scheme and Shamir's Secret Sharing are introduced. However, we explained the details of the first one since it's the topic of this work. Blakley's method has an applic... |
1912.00497 | Himangi Mittal | Himangi Mittal, Brian Okorn, David Held | Just Go with the Flow: Self-Supervised Scene Flow Estimation | Accepted at CVPR 2020 (Oral) | null | null | null | cs.CV cs.LG cs.RO eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When interacting with highly dynamic environments, scene flow allows
autonomous systems to reason about the non-rigid motion of multiple independent
objects. This is of particular interest in the field of autonomous driving, in
which many cars, people, bicycles, and other objects need to be accurately
tracked. Curren... | [
{
"created": "Sun, 1 Dec 2019 20:32:54 GMT",
"version": "v1"
},
{
"created": "Mon, 13 Apr 2020 19:10:57 GMT",
"version": "v2"
}
] | 2020-04-15 | [
[
"Mittal",
"Himangi",
""
],
[
"Okorn",
"Brian",
""
],
[
"Held",
"David",
""
]
] | When interacting with highly dynamic environments, scene flow allows autonomous systems to reason about the non-rigid motion of multiple independent objects. This is of particular interest in the field of autonomous driving, in which many cars, people, bicycles, and other objects need to be accurately tracked. Current ... |
2006.14964 | Anna Melnichenko | Hagen Echzell, Tobias Friedrich, Pascal Lenzner, Anna Melnichenko | Flow-Based Network Creation Games | To appear at the 29th International Joint Conference on Artificial
Intelligence and the 17th Pacific Rim International Conference on Artificial
Intelligence (IJCAI-PRICAI 2020) | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network Creation Games(NCGs) model the creation of decentralized
communication networks like the Internet. In such games strategic agents
corresponding to network nodes selfishly decide with whom to connect to
optimize some objective function. Past research intensively analyzed models
where the agents strive for a ce... | [
{
"created": "Fri, 26 Jun 2020 12:59:24 GMT",
"version": "v1"
}
] | 2020-06-29 | [
[
"Echzell",
"Hagen",
""
],
[
"Friedrich",
"Tobias",
""
],
[
"Lenzner",
"Pascal",
""
],
[
"Melnichenko",
"Anna",
""
]
] | Network Creation Games(NCGs) model the creation of decentralized communication networks like the Internet. In such games strategic agents corresponding to network nodes selfishly decide with whom to connect to optimize some objective function. Past research intensively analyzed models where the agents strive for a cent... |
2307.09777 | Shuo Huang | Shuo Huang, Chengpeng Hu, Julian Togelius, Jialin Liu | Generating Redstone Style Cities in Minecraft | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Procedurally generating cities in Minecraft provides players more diverse
scenarios and could help understand and improve the design of cities in other
digital worlds and the real world. This paper presents a city generator that
was submitted as an entry to the 2023 Edition of Minecraft Settlement
Generation Competit... | [
{
"created": "Wed, 19 Jul 2023 06:36:01 GMT",
"version": "v1"
}
] | 2023-07-20 | [
[
"Huang",
"Shuo",
""
],
[
"Hu",
"Chengpeng",
""
],
[
"Togelius",
"Julian",
""
],
[
"Liu",
"Jialin",
""
]
] | Procedurally generating cities in Minecraft provides players more diverse scenarios and could help understand and improve the design of cities in other digital worlds and the real world. This paper presents a city generator that was submitted as an entry to the 2023 Edition of Minecraft Settlement Generation Competitio... |
1609.03500 | Sheng Zou | Sheng Zou and Alina Zare | Hyperspectral Unmixing with Endmember Variability using Partial
Membership Latent Dirichlet Allocation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The application of Partial Membership Latent Dirichlet Allocation(PM-LDA) for
hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA
provides a model for a hyperspectral image analysis that accounts for spectral
variability and incorporates spatial information through the use of
superpixel-base... | [
{
"created": "Mon, 12 Sep 2016 17:32:41 GMT",
"version": "v1"
}
] | 2016-09-13 | [
[
"Zou",
"Sheng",
""
],
[
"Zare",
"Alina",
""
]
] | The application of Partial Membership Latent Dirichlet Allocation(PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts for spectral variability and incorporates spatial information through the use of superpixel-based ... |
2206.15007 | Zhiying Zhu | Zhiying Zhu, Weixin Liang, James Zou | GSCLIP : A Framework for Explaining Distribution Shifts in Natural
Language | Accepted by ICML 2022 DataPerf | null | null | null | cs.CL cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Helping end users comprehend the abstract distribution shifts can greatly
facilitate AI deployment. Motivated by this, we propose a novel task, dataset
explanation. Given two image data sets, dataset explanation aims to
automatically point out their dataset-level distribution shifts with natural
language. Current tec... | [
{
"created": "Thu, 30 Jun 2022 04:06:26 GMT",
"version": "v1"
}
] | 2022-07-01 | [
[
"Zhu",
"Zhiying",
""
],
[
"Liang",
"Weixin",
""
],
[
"Zou",
"James",
""
]
] | Helping end users comprehend the abstract distribution shifts can greatly facilitate AI deployment. Motivated by this, we propose a novel task, dataset explanation. Given two image data sets, dataset explanation aims to automatically point out their dataset-level distribution shifts with natural language. Current techn... |
1211.2073 | Yang Lu | Yang Lu and Mengying Wang and Kenny Q. Zhu and Bo Yuan | LAGE: A Java Framework to reconstruct Gene Regulatory Networks from
Large-Scale Continues Expression Data | 2 pages | null | null | null | cs.LG cs.CE q-bio.QM stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | LAGE is a systematic framework developed in Java. The motivation of LAGE is
to provide a scalable and parallel solution to reconstruct Gene Regulatory
Networks (GRNs) from continuous gene expression data for very large amount of
genes. The basic idea of our framework is motivated by the philosophy of
divideand-conque... | [
{
"created": "Fri, 9 Nov 2012 08:34:25 GMT",
"version": "v1"
}
] | 2012-11-12 | [
[
"Lu",
"Yang",
""
],
[
"Wang",
"Mengying",
""
],
[
"Zhu",
"Kenny Q.",
""
],
[
"Yuan",
"Bo",
""
]
] | LAGE is a systematic framework developed in Java. The motivation of LAGE is to provide a scalable and parallel solution to reconstruct Gene Regulatory Networks (GRNs) from continuous gene expression data for very large amount of genes. The basic idea of our framework is motivated by the philosophy of divideand-conquer.... |
2305.04719 | Zhiling Yan | Shaozu Yuan, Aijun Dai, Zhiling Yan, Ruixue Liu, Meng Chen, Baoyang
Chen, Zhijie Qiu, Xiaodong He | Learning to Generate Poetic Chinese Landscape Painting with Calligraphy | Accepted by IJCAI 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present a novel system (denoted as Polaca) to generate
poetic Chinese landscape painting with calligraphy. Unlike previous single
image-to-image painting generation, Polaca takes the classic poetry as input
and outputs the artistic landscape painting image with the corresponding
calligraphy. It is e... | [
{
"created": "Mon, 8 May 2023 14:10:10 GMT",
"version": "v1"
}
] | 2023-05-09 | [
[
"Yuan",
"Shaozu",
""
],
[
"Dai",
"Aijun",
""
],
[
"Yan",
"Zhiling",
""
],
[
"Liu",
"Ruixue",
""
],
[
"Chen",
"Meng",
""
],
[
"Chen",
"Baoyang",
""
],
[
"Qiu",
"Zhijie",
""
],
[
"He",
"Xiaodong",... | In this paper, we present a novel system (denoted as Polaca) to generate poetic Chinese landscape painting with calligraphy. Unlike previous single image-to-image painting generation, Polaca takes the classic poetry as input and outputs the artistic landscape painting image with the corresponding calligraphy. It is equ... |
2102.04875 | Parwat Singh Anjana | Parwat Singh Anjana, Sweta Kumari, Sathya Peri, Sachin Rathor, Archit
Somani | OptSmart: A Space Efficient Optimistic Concurrent Execution of Smart
Contracts | 43 pages, 13 figure, 1 Table | null | null | null | cs.DC | http://creativecommons.org/licenses/by/4.0/ | Popular blockchains such as Ethereum and several others execute complex
transactions in blocks through user-defined scripts known as smart contracts.
Serial execution of smart contract transactions/atomic-units (AUs) fails to
harness the multiprocessing power offered by the prevalence of multi-core
processors. By add... | [
{
"created": "Tue, 9 Feb 2021 15:18:42 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Feb 2021 06:20:02 GMT",
"version": "v2"
}
] | 2021-02-18 | [
[
"Anjana",
"Parwat Singh",
""
],
[
"Kumari",
"Sweta",
""
],
[
"Peri",
"Sathya",
""
],
[
"Rathor",
"Sachin",
""
],
[
"Somani",
"Archit",
""
]
] | Popular blockchains such as Ethereum and several others execute complex transactions in blocks through user-defined scripts known as smart contracts. Serial execution of smart contract transactions/atomic-units (AUs) fails to harness the multiprocessing power offered by the prevalence of multi-core processors. By addin... |
1301.0569 | Phan H. Giang | Phan H. Giang, Prakash P. Shenoy | Statistical Decisions Using Likelihood Information Without Prior
Probabilities | Appears in Proceedings of the Eighteenth Conference on Uncertainty in
Artificial Intelligence (UAI2002) | null | null | UAI-P-2002-PG-170-178 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a decision-theoretic approach to statistical inference
that satisfies the likelihood principle (LP) without using prior information.
Unlike the Bayesian approach, which also satisfies LP, we do not assume
knowledge of the prior distribution of the unknown parameter. With respect to
information tha... | [
{
"created": "Wed, 12 Dec 2012 15:56:18 GMT",
"version": "v1"
}
] | 2013-01-07 | [
[
"Giang",
"Phan H.",
""
],
[
"Shenoy",
"Prakash P.",
""
]
] | This paper presents a decision-theoretic approach to statistical inference that satisfies the likelihood principle (LP) without using prior information. Unlike the Bayesian approach, which also satisfies LP, we do not assume knowledge of the prior distribution of the unknown parameter. With respect to information that ... |
2406.17223 | Qi Cao | Qi Cao, Qi Chen, Baoming Bai | On Zero-Error Capacity of Graphs with One Edge | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study the zero-error capacity of channels with memory,
which are represented by graphs. We provide a method to construct code for any
graph with one edge, thereby determining a lower bound on its zero-error
capacity. Moreover, this code can achieve zero-error capacity when the symbols
in a vertex wi... | [
{
"created": "Tue, 25 Jun 2024 02:17:34 GMT",
"version": "v1"
}
] | 2024-06-26 | [
[
"Cao",
"Qi",
""
],
[
"Chen",
"Qi",
""
],
[
"Bai",
"Baoming",
""
]
] | In this paper, we study the zero-error capacity of channels with memory, which are represented by graphs. We provide a method to construct code for any graph with one edge, thereby determining a lower bound on its zero-error capacity. Moreover, this code can achieve zero-error capacity when the symbols in a vertex with... |
2408.02231 | Agneet Chatterjee | Agneet Chatterjee, Yiran Luo, Tejas Gokhale, Yezhou Yang, Chitta Baral | REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language
Models | Accepted to ECCV 2024. Project Page :
https://agneetchatterjee.com/revision/ | null | null | null | cs.CV | http://creativecommons.org/licenses/by-sa/4.0/ | Text-to-Image (T2I) and multimodal large language models (MLLMs) have been
adopted in solutions for several computer vision and multimodal learning tasks.
However, it has been found that such vision-language models lack the ability to
correctly reason over spatial relationships. To tackle this shortcoming, we
develop... | [
{
"created": "Mon, 5 Aug 2024 04:51:46 GMT",
"version": "v1"
}
] | 2024-08-06 | [
[
"Chatterjee",
"Agneet",
""
],
[
"Luo",
"Yiran",
""
],
[
"Gokhale",
"Tejas",
""
],
[
"Yang",
"Yezhou",
""
],
[
"Baral",
"Chitta",
""
]
] | Text-to-Image (T2I) and multimodal large language models (MLLMs) have been adopted in solutions for several computer vision and multimodal learning tasks. However, it has been found that such vision-language models lack the ability to correctly reason over spatial relationships. To tackle this shortcoming, we develop t... |
2003.04992 | Hui Wan | Hui Wan | Multi-task Learning with Multi-head Attention for Multi-choice Reading
Comprehension | null | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multiple-choice Machine Reading Comprehension (MRC) is an important and
challenging Natural Language Understanding (NLU) task, in which a machine must
choose the answer to a question from a set of choices, with the question placed
in context of text passages or dialog. In the last a couple of years the NLU
field has ... | [
{
"created": "Wed, 26 Feb 2020 16:32:25 GMT",
"version": "v1"
}
] | 2020-03-12 | [
[
"Wan",
"Hui",
""
]
] | Multiple-choice Machine Reading Comprehension (MRC) is an important and challenging Natural Language Understanding (NLU) task, in which a machine must choose the answer to a question from a set of choices, with the question placed in context of text passages or dialog. In the last a couple of years the NLU field has be... |
1605.03821 | Jian Wang | Liqing Gao, Yanzhang Wang, Xin Ye and Jian Wang | Crowd Counting Considering Network Flow Constraints in Videos | 20pages,9 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The growth of the number of people in the monitoring scene may increase the
probability of security threat, which makes crowd counting more and more
important. Most of the existing approaches estimate the number of pedestrians
within one frame, which results in inconsistent predictions in terms of time.
This paper, f... | [
{
"created": "Thu, 12 May 2016 14:12:21 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Dec 2017 14:22:55 GMT",
"version": "v2"
}
] | 2017-12-18 | [
[
"Gao",
"Liqing",
""
],
[
"Wang",
"Yanzhang",
""
],
[
"Ye",
"Xin",
""
],
[
"Wang",
"Jian",
""
]
] | The growth of the number of people in the monitoring scene may increase the probability of security threat, which makes crowd counting more and more important. Most of the existing approaches estimate the number of pedestrians within one frame, which results in inconsistent predictions in terms of time. This paper, for... |
1810.09798 | Fernando Alonso-Fernandez | Fernando Alonso-Fernandez, Josef Bigun, Cristofer Englund | Expression Recognition Using the Periocular Region: A Feasibility Study | Accepted for publication at Intl Conf on Signal Image Technology &
Internet Based Systems, SITIS 2018 | Proc. Intl Conf on Signal Image Technology & Internet Based
Systems, SITIS, Gran Canaria, Spain, 26-29 Nov 2018 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper investigates the feasibility of using the periocular region for
expression recognition. Most works have tried to solve this by analyzing the
whole face. Periocular is the facial region in the immediate vicinity of the
eye. It has the advantage of being available over a wide range of distances and
under par... | [
{
"created": "Tue, 23 Oct 2018 11:56:20 GMT",
"version": "v1"
}
] | 2020-10-19 | [
[
"Alonso-Fernandez",
"Fernando",
""
],
[
"Bigun",
"Josef",
""
],
[
"Englund",
"Cristofer",
""
]
] | This paper investigates the feasibility of using the periocular region for expression recognition. Most works have tried to solve this by analyzing the whole face. Periocular is the facial region in the immediate vicinity of the eye. It has the advantage of being available over a wide range of distances and under parti... |
2003.13883 | Wennie Tabib | Wennie Tabib, Kshitij Goel, John Yao, Curtis Boirum and Nathan Michael
(Carnegie Mellon University) | Autonomous Cave Surveying with an Aerial Robot | 17 pages, 14 figures; accepted for publication in IEEE Transactions
on Robotics (TRO 2021) and adds additional experimental results | null | 10.1109/TRO.2021.3104459 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a method for cave surveying in total darkness using an
autonomous aerial vehicle equipped with a depth camera for mapping,
downward-facing camera for state estimation, and forward and downward lights.
Traditional methods of cave surveying are labor-intensive and dangerous due to
the risk of hypoth... | [
{
"created": "Tue, 31 Mar 2020 00:22:04 GMT",
"version": "v1"
},
{
"created": "Sat, 16 Oct 2021 03:32:51 GMT",
"version": "v2"
}
] | 2021-10-19 | [
[
"Tabib",
"Wennie",
"",
"Carnegie Mellon University"
],
[
"Goel",
"Kshitij",
"",
"Carnegie Mellon University"
],
[
"Yao",
"John",
"",
"Carnegie Mellon University"
],
[
"Boirum",
"Curtis",
"",
"Carnegie Mellon University"
],
[
"Mich... | This paper presents a method for cave surveying in total darkness using an autonomous aerial vehicle equipped with a depth camera for mapping, downward-facing camera for state estimation, and forward and downward lights. Traditional methods of cave surveying are labor-intensive and dangerous due to the risk of hypother... |
2008.06101 | Xiangyu Guo | Xiangyu Guo, Janardhan Kulkarni, Shi Li, Jiayi Xian | Consistent $k$-Median: Simpler, Better and Robust | null | null | null | null | cs.DS cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we introduce and study the online consistent $k$-clustering
with outliers problem, generalizing the non-outlier version of the problem
studied in [Lattanzi-Vassilvitskii, ICML17].
We show that a simple local-search based online algorithm can give a
bicriteria constant approximation for the problem wit... | [
{
"created": "Thu, 13 Aug 2020 20:24:28 GMT",
"version": "v1"
}
] | 2020-08-17 | [
[
"Guo",
"Xiangyu",
""
],
[
"Kulkarni",
"Janardhan",
""
],
[
"Li",
"Shi",
""
],
[
"Xian",
"Jiayi",
""
]
] | In this paper we introduce and study the online consistent $k$-clustering with outliers problem, generalizing the non-outlier version of the problem studied in [Lattanzi-Vassilvitskii, ICML17]. We show that a simple local-search based online algorithm can give a bicriteria constant approximation for the problem with $O... |
2110.07244 | Quan Wang | Quan Wang and Songtai Dai and Benfeng Xu and Yajuan Lyu and Yong Zhu
and Hua Wu and Haifeng Wang | Building Chinese Biomedical Language Models via Multi-Level Text
Discrimination | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by-sa/4.0/ | Pre-trained language models (PLMs), such as BERT and GPT, have revolutionized
the field of NLP, not only in the general domain but also in the biomedical
domain. Most prior efforts in building biomedical PLMs have resorted simply to
domain adaptation and focused mainly on English. In this work we introduce
eHealth, a... | [
{
"created": "Thu, 14 Oct 2021 10:43:28 GMT",
"version": "v1"
},
{
"created": "Wed, 2 Mar 2022 10:04:24 GMT",
"version": "v2"
}
] | 2022-03-03 | [
[
"Wang",
"Quan",
""
],
[
"Dai",
"Songtai",
""
],
[
"Xu",
"Benfeng",
""
],
[
"Lyu",
"Yajuan",
""
],
[
"Zhu",
"Yong",
""
],
[
"Wu",
"Hua",
""
],
[
"Wang",
"Haifeng",
""
]
] | Pre-trained language models (PLMs), such as BERT and GPT, have revolutionized the field of NLP, not only in the general domain but also in the biomedical domain. Most prior efforts in building biomedical PLMs have resorted simply to domain adaptation and focused mainly on English. In this work we introduce eHealth, a C... |
1907.05391 | Slobodan Mitrovi\'c | Jakub {\L}\k{a}cki, Slobodan Mitrovi\'c, Krzysztof Onak, Piotr
Sankowski | Walking Randomly, Massively, and Efficiently | null | null | null | null | cs.DS cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a set of techniques that allow for efficiently generating many
independent random walks in the Massive Parallel Computation (MPC) model with
space per machine strongly sublinear in the number of vertices. In this
space-per-machine regime, many natural approaches to graph problems struggle to
overcome the... | [
{
"created": "Thu, 11 Jul 2019 17:13:26 GMT",
"version": "v1"
},
{
"created": "Sun, 21 Jul 2019 09:30:04 GMT",
"version": "v2"
},
{
"created": "Mon, 28 Oct 2019 09:50:10 GMT",
"version": "v3"
},
{
"created": "Wed, 6 Nov 2019 02:27:31 GMT",
"version": "v4"
}
] | 2019-11-07 | [
[
"Łącki",
"Jakub",
""
],
[
"Mitrović",
"Slobodan",
""
],
[
"Onak",
"Krzysztof",
""
],
[
"Sankowski",
"Piotr",
""
]
] | We introduce a set of techniques that allow for efficiently generating many independent random walks in the Massive Parallel Computation (MPC) model with space per machine strongly sublinear in the number of vertices. In this space-per-machine regime, many natural approaches to graph problems struggle to overcome the $... |
1812.09280 | Hichem Sahbi | Hichem Sahbi | Canonical Correlation Analysis for Misaligned Satellite Image Change
Detection | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Canonical correlation analysis (CCA) is a statistical learning method that
seeks to build view-independent latent representations from multi-view data.
This method has been successfully applied to several pattern analysis tasks
such as image-to-text mapping and view-invariant object/action recognition.
However, this ... | [
{
"created": "Fri, 21 Dec 2018 17:43:16 GMT",
"version": "v1"
}
] | 2018-12-24 | [
[
"Sahbi",
"Hichem",
""
]
] | Canonical correlation analysis (CCA) is a statistical learning method that seeks to build view-independent latent representations from multi-view data. This method has been successfully applied to several pattern analysis tasks such as image-to-text mapping and view-invariant object/action recognition. However, this su... |
2402.04794 | Chakib Fettal | Chakib Fettal, Lazhar Labiod, Mohamed Nadif | Scalable Multi-view Clustering via Explicit Kernel Features Maps | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A growing awareness of multi-view learning as an important component in data
science and machine learning is a consequence of the increasing prevalence of
multiple views in real-world applications, especially in the context of
networks. In this paper we introduce a new scalability framework for multi-view
subspace cl... | [
{
"created": "Wed, 7 Feb 2024 12:35:31 GMT",
"version": "v1"
}
] | 2024-02-08 | [
[
"Fettal",
"Chakib",
""
],
[
"Labiod",
"Lazhar",
""
],
[
"Nadif",
"Mohamed",
""
]
] | A growing awareness of multi-view learning as an important component in data science and machine learning is a consequence of the increasing prevalence of multiple views in real-world applications, especially in the context of networks. In this paper we introduce a new scalability framework for multi-view subspace clus... |
2310.05804 | Haoyu Zhang | Haoyu Zhang, Yu Wang, Guanghao Yin, Kejun Liu, Yuanyuan Liu, Tianshu
Yu | Learning Language-guided Adaptive Hyper-modality Representation for
Multimodal Sentiment Analysis | Published in EMNLP 2023 | Proceedings of the 2023 Conference on Empirical Methods in Natural
Language Processing | 10.18653/v1/2023.emnlp-main.49 | null | cs.AI cs.CL cs.CV cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Though Multimodal Sentiment Analysis (MSA) proves effective by utilizing rich
information from multiple sources (e.g., language, video, and audio), the
potential sentiment-irrelevant and conflicting information across modalities
may hinder the performance from being further improved. To alleviate this, we
present Ada... | [
{
"created": "Mon, 9 Oct 2023 15:43:07 GMT",
"version": "v1"
},
{
"created": "Thu, 14 Dec 2023 13:07:45 GMT",
"version": "v2"
}
] | 2023-12-15 | [
[
"Zhang",
"Haoyu",
""
],
[
"Wang",
"Yu",
""
],
[
"Yin",
"Guanghao",
""
],
[
"Liu",
"Kejun",
""
],
[
"Liu",
"Yuanyuan",
""
],
[
"Yu",
"Tianshu",
""
]
] | Though Multimodal Sentiment Analysis (MSA) proves effective by utilizing rich information from multiple sources (e.g., language, video, and audio), the potential sentiment-irrelevant and conflicting information across modalities may hinder the performance from being further improved. To alleviate this, we present Adapt... |
1903.09766 | Md Jahidul Islam | Md Jahidul Islam, Youya Xia and Junaed Sattar | Fast Underwater Image Enhancement for Improved Visual Perception | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present a conditional generative adversarial network-based
model for real-time underwater image enhancement. To supervise the adversarial
training, we formulate an objective function that evaluates the perceptual
image quality based on its global content, color, local texture, and style
information.... | [
{
"created": "Sat, 23 Mar 2019 05:21:05 GMT",
"version": "v1"
},
{
"created": "Wed, 18 Dec 2019 23:40:48 GMT",
"version": "v2"
},
{
"created": "Sun, 9 Feb 2020 02:06:40 GMT",
"version": "v3"
}
] | 2020-02-11 | [
[
"Islam",
"Md Jahidul",
""
],
[
"Xia",
"Youya",
""
],
[
"Sattar",
"Junaed",
""
]
] | In this paper, we present a conditional generative adversarial network-based model for real-time underwater image enhancement. To supervise the adversarial training, we formulate an objective function that evaluates the perceptual image quality based on its global content, color, local texture, and style information. W... |
2308.08741 | Jiazhao Zhang | Yijie Tang, Jiazhao Zhang, Zhinan Yu, He Wang, Kai Xu | MIPS-Fusion: Multi-Implicit-Submaps for Scalable and Robust Online
Neural RGB-D Reconstruction | null | null | null | null | cs.CV cs.GR | http://creativecommons.org/licenses/by/4.0/ | We introduce MIPS-Fusion, a robust and scalable online RGB-D reconstruction
method based on a novel neural implicit representation --
multi-implicit-submap. Different from existing neural RGB-D reconstruction
methods lacking either flexibility with a single neural map or scalability due
to extra storage of feature gr... | [
{
"created": "Thu, 17 Aug 2023 02:33:16 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Aug 2023 15:43:17 GMT",
"version": "v2"
}
] | 2023-08-25 | [
[
"Tang",
"Yijie",
""
],
[
"Zhang",
"Jiazhao",
""
],
[
"Yu",
"Zhinan",
""
],
[
"Wang",
"He",
""
],
[
"Xu",
"Kai",
""
]
] | We introduce MIPS-Fusion, a robust and scalable online RGB-D reconstruction method based on a novel neural implicit representation -- multi-implicit-submap. Different from existing neural RGB-D reconstruction methods lacking either flexibility with a single neural map or scalability due to extra storage of feature grid... |
2402.07645 | Isabelle Lorge PhD | Isabelle Lorge, Dan W. Joyce, Niall Taylor, Alejo Nevado-Holgado,
Andrea Cipriani, Andrey Kormilitzin | Detecting the Clinical Features of Difficult-to-Treat Depression using
Synthetic Data from Large Language Models | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Difficult-to-treat depression (DTD) has been proposed as a broader and more
clinically comprehensive perspective on a person's depressive disorder where
despite treatment, they continue to experience significant burden. We sought to
develop a Large Language Model (LLM)-based tool capable of interrogating
routinely-co... | [
{
"created": "Mon, 12 Feb 2024 13:34:33 GMT",
"version": "v1"
}
] | 2024-02-13 | [
[
"Lorge",
"Isabelle",
""
],
[
"Joyce",
"Dan W.",
""
],
[
"Taylor",
"Niall",
""
],
[
"Nevado-Holgado",
"Alejo",
""
],
[
"Cipriani",
"Andrea",
""
],
[
"Kormilitzin",
"Andrey",
""
]
] | Difficult-to-treat depression (DTD) has been proposed as a broader and more clinically comprehensive perspective on a person's depressive disorder where despite treatment, they continue to experience significant burden. We sought to develop a Large Language Model (LLM)-based tool capable of interrogating routinely-coll... |
2408.06747 | Jingyun Wang | Jingyun Wang and Guoliang Kang | ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic
Segmentation | Extended version of our CVPR 24 paper | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent works utilize CLIP to perform the challenging unsupervised semantic
segmentation task where only images without annotations are available. However,
we observe that when adopting CLIP to such a pixel-level understanding task,
unexpected bias (including class-preference bias and space-preference bias)
occurs. Pr... | [
{
"created": "Tue, 13 Aug 2024 09:10:48 GMT",
"version": "v1"
}
] | 2024-08-14 | [
[
"Wang",
"Jingyun",
""
],
[
"Kang",
"Guoliang",
""
]
] | Recent works utilize CLIP to perform the challenging unsupervised semantic segmentation task where only images without annotations are available. However, we observe that when adopting CLIP to such a pixel-level understanding task, unexpected bias (including class-preference bias and space-preference bias) occurs. Prev... |
2106.15166 | Taekho You | Taekho You, Jinseo Park, June Young Lee, Jinhyuk Yun, Woo-Sung Jung | Disturbance of questionable publishing to academia | 16 pages of main text including 4 figures + 42 pages of supplementary
information including 38 supplementary figures | Journal of Informetrics, 2022, 16(2), 101294 | 10.1016/j.joi.2022.101294 | null | cs.DL physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Questionable publications have been accused of "greedy" practices; however,
their influence on academia has not been gauged. Here, we probe the impact of
questionable publications through a systematic and comprehensive analysis with
various participants from academia and compare the results with those of their
unaccu... | [
{
"created": "Tue, 29 Jun 2021 08:26:39 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Jul 2021 07:42:56 GMT",
"version": "v2"
},
{
"created": "Mon, 7 Mar 2022 02:41:34 GMT",
"version": "v3"
},
{
"created": "Tue, 19 Apr 2022 13:18:20 GMT",
"version": "v4"
}
] | 2022-05-10 | [
[
"You",
"Taekho",
""
],
[
"Park",
"Jinseo",
""
],
[
"Lee",
"June Young",
""
],
[
"Yun",
"Jinhyuk",
""
],
[
"Jung",
"Woo-Sung",
""
]
] | Questionable publications have been accused of "greedy" practices; however, their influence on academia has not been gauged. Here, we probe the impact of questionable publications through a systematic and comprehensive analysis with various participants from academia and compare the results with those of their unaccuse... |
2403.05156 | Minghui Xu | Biwei Yan, Kun Li, Minghui Xu, Yueyan Dong, Yue Zhang, Zhaochun Ren
and Xiuzhen Cheng | On Protecting the Data Privacy of Large Language Models (LLMs): A Survey | 18 pages, 4 figures | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs) are complex artificial intelligence systems
capable of understanding, generating and translating human language. They learn
language patterns by analyzing large amounts of text data, allowing them to
perform writing, conversation, summarizing and other language tasks. When LLMs
process an... | [
{
"created": "Fri, 8 Mar 2024 08:47:48 GMT",
"version": "v1"
},
{
"created": "Thu, 14 Mar 2024 14:17:57 GMT",
"version": "v2"
}
] | 2024-03-15 | [
[
"Yan",
"Biwei",
""
],
[
"Li",
"Kun",
""
],
[
"Xu",
"Minghui",
""
],
[
"Dong",
"Yueyan",
""
],
[
"Zhang",
"Yue",
""
],
[
"Ren",
"Zhaochun",
""
],
[
"Cheng",
"Xiuzhen",
""
]
] | Large language models (LLMs) are complex artificial intelligence systems capable of understanding, generating and translating human language. They learn language patterns by analyzing large amounts of text data, allowing them to perform writing, conversation, summarizing and other language tasks. When LLMs process and ... |
2403.03473 | Xinwei Ou | Xinwei Ou, Ce Zhu, Xiaolin Huang, and Yipeng Liu | Inverse-Free Fast Natural Gradient Descent Method for Deep Learning | null | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Second-order optimization techniques have the potential to achieve faster
convergence rates compared to first-order methods through the incorporation of
second-order derivatives or statistics. However, their utilization in deep
learning is limited due to their computational inefficiency. Various approaches
have been ... | [
{
"created": "Wed, 6 Mar 2024 05:13:28 GMT",
"version": "v1"
},
{
"created": "Sun, 28 Apr 2024 10:52:32 GMT",
"version": "v2"
}
] | 2024-04-30 | [
[
"Ou",
"Xinwei",
""
],
[
"Zhu",
"Ce",
""
],
[
"Huang",
"Xiaolin",
""
],
[
"Liu",
"Yipeng",
""
]
] | Second-order optimization techniques have the potential to achieve faster convergence rates compared to first-order methods through the incorporation of second-order derivatives or statistics. However, their utilization in deep learning is limited due to their computational inefficiency. Various approaches have been pr... |
2209.03447 | Yulai Zhao | Yulai Zhao, Jianshu Chen, Simon S. Du | Blessing of Class Diversity in Pre-training | AISTATS 2023 (Oral) | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | This paper presents a new statistical analysis aiming to explain the recent
superior achievements of the pre-training techniques in natural language
processing (NLP). We prove that when the classes of the pre-training task
(e.g., different words in the masked language model task) are sufficiently
diverse, in the sens... | [
{
"created": "Wed, 7 Sep 2022 20:10:12 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Sep 2022 15:44:41 GMT",
"version": "v2"
},
{
"created": "Sun, 12 Feb 2023 17:45:39 GMT",
"version": "v3"
}
] | 2023-02-14 | [
[
"Zhao",
"Yulai",
""
],
[
"Chen",
"Jianshu",
""
],
[
"Du",
"Simon S.",
""
]
] | This paper presents a new statistical analysis aiming to explain the recent superior achievements of the pre-training techniques in natural language processing (NLP). We prove that when the classes of the pre-training task (e.g., different words in the masked language model task) are sufficiently diverse, in the sense ... |
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