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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2403.12702 | Haoyuan Li | Haoyuan Li, Chang Xu, Wen Yang, Huai Yu, Gui-Song Xia | Learning Cross-view Visual Geo-localization without Ground Truth | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cross-View Geo-Localization (CVGL) involves determining the geographical
location of a query image by matching it with a corresponding GPS-tagged
reference image. Current state-of-the-art methods predominantly rely on
training models with labeled paired images, incurring substantial annotation
costs and training burd... | [
{
"created": "Tue, 19 Mar 2024 13:01:57 GMT",
"version": "v1"
}
] | 2024-03-20 | [
[
"Li",
"Haoyuan",
""
],
[
"Xu",
"Chang",
""
],
[
"Yang",
"Wen",
""
],
[
"Yu",
"Huai",
""
],
[
"Xia",
"Gui-Song",
""
]
] | Cross-View Geo-Localization (CVGL) involves determining the geographical location of a query image by matching it with a corresponding GPS-tagged reference image. Current state-of-the-art methods predominantly rely on training models with labeled paired images, incurring substantial annotation costs and training burden... |
2011.11706 | Hossein Jowhari | Hossein Jowhari | An Estimator for Matching Size in Low Arboricity Graphs with Two
Applications | null | null | null | null | cs.DS | http://creativecommons.org/licenses/by/4.0/ | In this paper, we present a new simple degree-based estimator for the size of
maximum matching in bounded arboricity graphs. When the arboricity of the graph
is bounded by $\alpha$, the estimator gives a $\alpha+2$ factor approximation
of the matching size. For planar graphs, we show the estimator does better and
ret... | [
{
"created": "Mon, 23 Nov 2020 20:19:48 GMT",
"version": "v1"
},
{
"created": "Wed, 25 Nov 2020 05:11:44 GMT",
"version": "v2"
}
] | 2020-11-26 | [
[
"Jowhari",
"Hossein",
""
]
] | In this paper, we present a new simple degree-based estimator for the size of maximum matching in bounded arboricity graphs. When the arboricity of the graph is bounded by $\alpha$, the estimator gives a $\alpha+2$ factor approximation of the matching size. For planar graphs, we show the estimator does better and retur... |
1204.4253 | Chun Tung Chou | Chun Tung Chou | Extended master equation models for molecular communication networks | IEEE Transactions on Nanobioscience, 2013 | null | 10.1109/TNB.2013.2237785 | null | cs.CE physics.bio-ph q-bio.QM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider molecular communication networks consisting of transmitters and
receivers distributed in a fluidic medium. In such networks, a transmitter
sends one or more signalling molecules, which are diffused over the medium, to
the receiver to realise the communication. In order to be able to engineer
synthetic mol... | [
{
"created": "Thu, 19 Apr 2012 05:28:34 GMT",
"version": "v1"
},
{
"created": "Fri, 20 Apr 2012 12:50:29 GMT",
"version": "v2"
},
{
"created": "Mon, 17 Dec 2012 04:57:22 GMT",
"version": "v3"
},
{
"created": "Thu, 3 Jan 2013 11:15:29 GMT",
"version": "v4"
},
{
"cr... | 2015-03-20 | [
[
"Chou",
"Chun Tung",
""
]
] | We consider molecular communication networks consisting of transmitters and receivers distributed in a fluidic medium. In such networks, a transmitter sends one or more signalling molecules, which are diffused over the medium, to the receiver to realise the communication. In order to be able to engineer synthetic molec... |
2105.14850 | Lin Zheng | Lin Zheng, Zhiyong Wu, Lingpeng Kong | Cascaded Head-colliding Attention | ACL 2021 Camera-ready version | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Transformers have advanced the field of natural language processing (NLP) on
a variety of important tasks. At the cornerstone of the Transformer
architecture is the multi-head attention (MHA) mechanism which models pairwise
interactions between the elements of the sequence. Despite its massive success,
the current fr... | [
{
"created": "Mon, 31 May 2021 10:06:42 GMT",
"version": "v1"
}
] | 2021-06-01 | [
[
"Zheng",
"Lin",
""
],
[
"Wu",
"Zhiyong",
""
],
[
"Kong",
"Lingpeng",
""
]
] | Transformers have advanced the field of natural language processing (NLP) on a variety of important tasks. At the cornerstone of the Transformer architecture is the multi-head attention (MHA) mechanism which models pairwise interactions between the elements of the sequence. Despite its massive success, the current fram... |
1007.0496 | Matthew Mckay Dr. | Yang Chen and Matthew R. McKay | Perturbed Hankel Determinants: Applications to the Information Theory of
MIMO Wireless Communications | 77 pages; 6 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we compute two important information-theoretic quantities which
arise in the application of multiple-input multiple-output (MIMO) antenna
wireless communication systems: the distribution of the mutual information of
multi-antenna Gaussian channels, and the Gallager random coding upper bound on
the error... | [
{
"created": "Sat, 3 Jul 2010 13:52:53 GMT",
"version": "v1"
}
] | 2010-07-06 | [
[
"Chen",
"Yang",
""
],
[
"McKay",
"Matthew R.",
""
]
] | In this paper we compute two important information-theoretic quantities which arise in the application of multiple-input multiple-output (MIMO) antenna wireless communication systems: the distribution of the mutual information of multi-antenna Gaussian channels, and the Gallager random coding upper bound on the error p... |
2309.01472 | Timur Sattarov | Timur Sattarov, Marco Schreyer, Damian Borth | FinDiff: Diffusion Models for Financial Tabular Data Generation | 9 pages, 5 figures, 3 tables, preprint version, currently under
review | null | null | null | cs.LG q-fin.ST | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The sharing of microdata, such as fund holdings and derivative instruments,
by regulatory institutions presents a unique challenge due to strict data
confidentiality and privacy regulations. These challenges often hinder the
ability of both academics and practitioners to conduct collaborative research
effectively. Th... | [
{
"created": "Mon, 4 Sep 2023 09:30:15 GMT",
"version": "v1"
}
] | 2023-09-06 | [
[
"Sattarov",
"Timur",
""
],
[
"Schreyer",
"Marco",
""
],
[
"Borth",
"Damian",
""
]
] | The sharing of microdata, such as fund holdings and derivative instruments, by regulatory institutions presents a unique challenge due to strict data confidentiality and privacy regulations. These challenges often hinder the ability of both academics and practitioners to conduct collaborative research effectively. The ... |
2204.02675 | Chen Yan | Chen Yan, Zhijian Xu, Zhanyuan Yin, Xiaoyu Ji, Wenyuan Xu | Rolling Colors: Adversarial Laser Exploits against Traffic Light
Recognition | To be published in USENIX Security 2022 | null | null | null | cs.CV cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Traffic light recognition is essential for fully autonomous driving in urban
areas. In this paper, we investigate the feasibility of fooling traffic light
recognition mechanisms by shedding laser interference on the camera. By
exploiting the rolling shutter of CMOS sensors, we manage to inject a color
stripe overlapp... | [
{
"created": "Wed, 6 Apr 2022 08:57:25 GMT",
"version": "v1"
}
] | 2022-04-07 | [
[
"Yan",
"Chen",
""
],
[
"Xu",
"Zhijian",
""
],
[
"Yin",
"Zhanyuan",
""
],
[
"Ji",
"Xiaoyu",
""
],
[
"Xu",
"Wenyuan",
""
]
] | Traffic light recognition is essential for fully autonomous driving in urban areas. In this paper, we investigate the feasibility of fooling traffic light recognition mechanisms by shedding laser interference on the camera. By exploiting the rolling shutter of CMOS sensors, we manage to inject a color stripe overlapped... |
1711.09255 | Atchutananda Surampudi | Atchutananda Surampudi, Krishnamoorthy Kalimuthu | An Energy Efficient Spectrum Sensing in Cognitive Radio Wireless Sensor
Networks | null | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | The cognitive radio wireless sensor networks have become an integral part of
communicating spectrum information to the fusion center, in a cooperative
spectrum sensing environment. A group of battery operated sensors or nodes,
sensing information about spectrum availability in the radio links, needs an
energy efficie... | [
{
"created": "Sat, 25 Nov 2017 16:03:29 GMT",
"version": "v1"
}
] | 2017-11-28 | [
[
"Surampudi",
"Atchutananda",
""
],
[
"Kalimuthu",
"Krishnamoorthy",
""
]
] | The cognitive radio wireless sensor networks have become an integral part of communicating spectrum information to the fusion center, in a cooperative spectrum sensing environment. A group of battery operated sensors or nodes, sensing information about spectrum availability in the radio links, needs an energy efficient... |
2405.03801 | Daniel Li | Kevin Hua, Daniel Li, Jaewoo Park, Thatchaphol Saranurak | Finding Most Shattering Minimum Vertex Cuts of Polylogarithmic Size in
Near-Linear Time | Appears at ICALP 2024 | null | 10.4230/LIPIcs.ICALP.2024.87 | null | cs.DS | http://creativecommons.org/licenses/by/4.0/ | We show the first near-linear time randomized algorithms for listing all
minimum vertex cuts of polylogarithmic size that separate the graph into at
least three connected components (also known as shredders) and for finding the
most shattering one, i.e., the one maximizing the number of connected
components. Our algo... | [
{
"created": "Mon, 6 May 2024 19:16:14 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Jul 2024 18:18:37 GMT",
"version": "v2"
}
] | 2024-07-15 | [
[
"Hua",
"Kevin",
""
],
[
"Li",
"Daniel",
""
],
[
"Park",
"Jaewoo",
""
],
[
"Saranurak",
"Thatchaphol",
""
]
] | We show the first near-linear time randomized algorithms for listing all minimum vertex cuts of polylogarithmic size that separate the graph into at least three connected components (also known as shredders) and for finding the most shattering one, i.e., the one maximizing the number of connected components. Our algori... |
1412.5949 | Pengtao Xie | Pengtao Xie and Eric Xing | Large Scale Distributed Distance Metric Learning | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In large scale machine learning and data mining problems with high feature
dimensionality, the Euclidean distance between data points can be
uninformative, and Distance Metric Learning (DML) is often desired to learn a
proper similarity measure (using side information such as example data pairs
being similar or dissi... | [
{
"created": "Thu, 18 Dec 2014 17:14:34 GMT",
"version": "v1"
}
] | 2014-12-19 | [
[
"Xie",
"Pengtao",
""
],
[
"Xing",
"Eric",
""
]
] | In large scale machine learning and data mining problems with high feature dimensionality, the Euclidean distance between data points can be uninformative, and Distance Metric Learning (DML) is often desired to learn a proper similarity measure (using side information such as example data pairs being similar or dissimi... |
2201.01693 | Diptesh Kanojia | Diptesh Kanojia, Malhar Kulkarni, Sayali Ghodekar, Eivind Kahrs,
Pushpak Bhattacharyya | Strategies of Effective Digitization of Commentaries and
Sub-commentaries: Towards the Construction of Textual History | Accepted at TCDK @ SSSU 2020; ISBN: 978-93-83097-43-2; Pages 477--489 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | This paper describes additional aspects of a digital tool called the 'Textual
History Tool'. We describe its various salient features with special reference
to those of its features that may help the philologist digitize commentaries
and sub-commentaries on a text. This tool captures the historical evolution of
a tex... | [
{
"created": "Wed, 5 Jan 2022 16:43:43 GMT",
"version": "v1"
}
] | 2022-01-06 | [
[
"Kanojia",
"Diptesh",
""
],
[
"Kulkarni",
"Malhar",
""
],
[
"Ghodekar",
"Sayali",
""
],
[
"Kahrs",
"Eivind",
""
],
[
"Bhattacharyya",
"Pushpak",
""
]
] | This paper describes additional aspects of a digital tool called the 'Textual History Tool'. We describe its various salient features with special reference to those of its features that may help the philologist digitize commentaries and sub-commentaries on a text. This tool captures the historical evolution of a text ... |
1309.5149 | EPTCS | Martin Bodin (ENS Lyon and Inria), Thomas Jensen (Inria), Alan Schmitt
(Inria) | Pretty-big-step-semantics-based Certified Abstract Interpretation
(Preliminary version) | In Proceedings Festschrift for Dave Schmidt, arXiv:1309.4557 | EPTCS 129, 2013, pp. 360-383 | 10.4204/EPTCS.129.23 | null | cs.PL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a technique for deriving semantic program analyses from a natural
semantics specification of the programming language. The technique is based on
a particular kind of semantics called pretty-big-step semantics. We present a
pretty-big-step semantics of a language with simple objects called O'While and
speci... | [
{
"created": "Fri, 20 Sep 2013 01:46:06 GMT",
"version": "v1"
}
] | 2013-09-23 | [
[
"Bodin",
"Martin",
"",
"ENS Lyon and Inria"
],
[
"Jensen",
"Thomas",
"",
"Inria"
],
[
"Schmitt",
"Alan",
"",
"Inria"
]
] | We present a technique for deriving semantic program analyses from a natural semantics specification of the programming language. The technique is based on a particular kind of semantics called pretty-big-step semantics. We present a pretty-big-step semantics of a language with simple objects called O'While and specify... |
2109.01904 | Athanasios Vlontzos | Athanasios Vlontzos, Bernhard Kainz, Ciaran M. Gilligan-Lee | Estimating Categorical Counterfactuals via Deep Twin Networks | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Counterfactual inference is a powerful tool, capable of solving challenging
problems in high-profile sectors. To perform counterfactual inference, one
requires knowledge of the underlying causal mechanisms. However, causal
mechanisms cannot be uniquely determined from observations and interventions
alone. This raises... | [
{
"created": "Sat, 4 Sep 2021 17:11:43 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Sep 2021 08:19:15 GMT",
"version": "v2"
},
{
"created": "Mon, 23 May 2022 12:33:53 GMT",
"version": "v3"
},
{
"created": "Thu, 16 Jun 2022 08:46:47 GMT",
"version": "v4"
},
{
"cre... | 2023-01-23 | [
[
"Vlontzos",
"Athanasios",
""
],
[
"Kainz",
"Bernhard",
""
],
[
"Gilligan-Lee",
"Ciaran M.",
""
]
] | Counterfactual inference is a powerful tool, capable of solving challenging problems in high-profile sectors. To perform counterfactual inference, one requires knowledge of the underlying causal mechanisms. However, causal mechanisms cannot be uniquely determined from observations and interventions alone. This raises t... |
1904.12622 | Cory Cornelius | Cory Cornelius, Shang-Tse Chen, Jason Martin, Duen Horng Chau | Talk Proposal: Towards the Realistic Evaluation of Evasion Attacks using
CARLA | Submitted as talk proposal to Dependable and Secure Machine Learning
(DSML '19) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this talk we describe our content-preserving attack on object detectors,
ShapeShifter, and demonstrate how to evaluate this threat in realistic
scenarios. We describe how we use CARLA, a realistic urban driving simulator,
to create these scenarios, and how we use ShapeShifter to generate
content-preserving attacks... | [
{
"created": "Thu, 18 Apr 2019 22:01:53 GMT",
"version": "v1"
}
] | 2019-04-30 | [
[
"Cornelius",
"Cory",
""
],
[
"Chen",
"Shang-Tse",
""
],
[
"Martin",
"Jason",
""
],
[
"Chau",
"Duen Horng",
""
]
] | In this talk we describe our content-preserving attack on object detectors, ShapeShifter, and demonstrate how to evaluate this threat in realistic scenarios. We describe how we use CARLA, a realistic urban driving simulator, to create these scenarios, and how we use ShapeShifter to generate content-preserving attacks a... |
1804.08584 | Kevin Xu | Ruthwik R. Junuthula, Kevin S. Xu, and Vijay K. Devabhaktuni | Leveraging Friendship Networks for Dynamic Link Prediction in Social
Interaction Networks | To appear in ICWSM 2018. This version corrects some minor errors in
Table 1. MATLAB code available at
https://github.com/IdeasLabUT/Friendship-Interaction-Prediction | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | On-line social networks (OSNs) often contain many different types of
relationships between users. When studying the structure of OSNs such as
Facebook, two of the most commonly studied networks are friendship and
interaction networks. The link prediction problem in friendship networks has
been heavily studied. There ... | [
{
"created": "Mon, 23 Apr 2018 17:23:19 GMT",
"version": "v1"
}
] | 2018-04-24 | [
[
"Junuthula",
"Ruthwik R.",
""
],
[
"Xu",
"Kevin S.",
""
],
[
"Devabhaktuni",
"Vijay K.",
""
]
] | On-line social networks (OSNs) often contain many different types of relationships between users. When studying the structure of OSNs such as Facebook, two of the most commonly studied networks are friendship and interaction networks. The link prediction problem in friendship networks has been heavily studied. There ha... |
2107.10474 | Jung Hoon Lee | Junghoon Lee, Jounghee Kim, Pilsung Kang | Back-Translated Task Adaptive Pretraining: Improving Accuracy and
Robustness on Text Classification | null | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Language models (LMs) pretrained on a large text corpus and fine-tuned on a
downstream text corpus and fine-tuned on a downstream task becomes a de facto
training strategy for several natural language processing (NLP) tasks.
Recently, an adaptive pretraining method retraining the pretrained language
model with task-r... | [
{
"created": "Thu, 22 Jul 2021 06:27:35 GMT",
"version": "v1"
}
] | 2021-07-23 | [
[
"Lee",
"Junghoon",
""
],
[
"Kim",
"Jounghee",
""
],
[
"Kang",
"Pilsung",
""
]
] | Language models (LMs) pretrained on a large text corpus and fine-tuned on a downstream text corpus and fine-tuned on a downstream task becomes a de facto training strategy for several natural language processing (NLP) tasks. Recently, an adaptive pretraining method retraining the pretrained language model with task-rel... |
2401.02150 | Mei Wang | Mei Wang, Weihong Deng, Sen Su | Marginal Debiased Network for Fair Visual Recognition | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Deep neural networks (DNNs) are often prone to learn the spurious
correlations between target classes and bias attributes, like gender and race,
inherent in a major portion of training data (bias-aligned samples), thus
showing unfair behavior and arising controversy in the modern pluralistic and
egalitarian society. ... | [
{
"created": "Thu, 4 Jan 2024 08:57:09 GMT",
"version": "v1"
}
] | 2024-01-05 | [
[
"Wang",
"Mei",
""
],
[
"Deng",
"Weihong",
""
],
[
"Su",
"Sen",
""
]
] | Deep neural networks (DNNs) are often prone to learn the spurious correlations between target classes and bias attributes, like gender and race, inherent in a major portion of training data (bias-aligned samples), thus showing unfair behavior and arising controversy in the modern pluralistic and egalitarian society. In... |
1806.00920 | Chih-Chieh Shao | Chih Chieh Shao, Trois Liu, Yuting Lai, Yiying Tseng and Sam Tsai | DRCD: a Chinese Machine Reading Comprehension Dataset | 5 pages | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | In this paper, we introduce DRCD (Delta Reading Comprehension Dataset), an
open domain traditional Chinese machine reading comprehension (MRC) dataset.
This dataset aimed to be a standard Chinese machine reading comprehension
dataset, which can be a source dataset in transfer learning. The dataset
contains 10,014 par... | [
{
"created": "Mon, 4 Jun 2018 01:50:21 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Jun 2018 02:55:38 GMT",
"version": "v2"
},
{
"created": "Wed, 29 May 2019 02:55:39 GMT",
"version": "v3"
}
] | 2019-05-30 | [
[
"Shao",
"Chih Chieh",
""
],
[
"Liu",
"Trois",
""
],
[
"Lai",
"Yuting",
""
],
[
"Tseng",
"Yiying",
""
],
[
"Tsai",
"Sam",
""
]
] | In this paper, we introduce DRCD (Delta Reading Comprehension Dataset), an open domain traditional Chinese machine reading comprehension (MRC) dataset. This dataset aimed to be a standard Chinese machine reading comprehension dataset, which can be a source dataset in transfer learning. The dataset contains 10,014 parag... |
1301.1385 | Michael Fink | Mario Alviano and Wolfgang Faber | Translating NP-SPEC into ASP | Proceedings of Answer Set Programming and Other Computing Paradigms
(ASPOCP 2012), 5th International Workshop, September 4, 2012, Budapest,
Hungary | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | NP-SPEC is a language for specifying problems in NP in a declarative way.
Despite the fact that the semantics of the language was given by referring to
Datalog with circumscription, which is very close to ASP, so far the only
existing implementations are by means of ECLiPSe Prolog and via Boolean
satisfiability solve... | [
{
"created": "Tue, 8 Jan 2013 02:28:49 GMT",
"version": "v1"
}
] | 2013-01-09 | [
[
"Alviano",
"Mario",
""
],
[
"Faber",
"Wolfgang",
""
]
] | NP-SPEC is a language for specifying problems in NP in a declarative way. Despite the fact that the semantics of the language was given by referring to Datalog with circumscription, which is very close to ASP, so far the only existing implementations are by means of ECLiPSe Prolog and via Boolean satisfiability solvers... |
0906.3323 | Andriy Myronenko | Andriy Myronenko, Xubo Song | Adaptive Regularization of Ill-Posed Problems: Application to Non-rigid
Image Registration | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce an adaptive regularization approach. In contrast to conventional
Tikhonov regularization, which specifies a fixed regularization operator, we
estimate it simultaneously with parameters. From a Bayesian perspective we
estimate the prior distribution on parameters assuming that it is close to some
given mo... | [
{
"created": "Wed, 17 Jun 2009 23:24:38 GMT",
"version": "v1"
}
] | 2009-06-19 | [
[
"Myronenko",
"Andriy",
""
],
[
"Song",
"Xubo",
""
]
] | We introduce an adaptive regularization approach. In contrast to conventional Tikhonov regularization, which specifies a fixed regularization operator, we estimate it simultaneously with parameters. From a Bayesian perspective we estimate the prior distribution on parameters assuming that it is close to some given mode... |
2312.07991 | Alon Mor | Alon Mor, Yonatan Belinkov, Benny Kimelfeld | Accelerating the Global Aggregation of Local Explanations | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Local explanation methods highlight the input tokens that have a considerable
impact on the outcome of classifying the document at hand. For example, the
Anchor algorithm applies a statistical analysis of the sensitivity of the
classifier to changes in the token. Aggregating local explanations over a
dataset provides... | [
{
"created": "Wed, 13 Dec 2023 09:03:01 GMT",
"version": "v1"
},
{
"created": "Sat, 23 Dec 2023 11:14:06 GMT",
"version": "v2"
},
{
"created": "Fri, 12 Jan 2024 14:18:57 GMT",
"version": "v3"
}
] | 2024-01-15 | [
[
"Mor",
"Alon",
""
],
[
"Belinkov",
"Yonatan",
""
],
[
"Kimelfeld",
"Benny",
""
]
] | Local explanation methods highlight the input tokens that have a considerable impact on the outcome of classifying the document at hand. For example, the Anchor algorithm applies a statistical analysis of the sensitivity of the classifier to changes in the token. Aggregating local explanations over a dataset provides a... |
1303.3964 | Mahyuddin K. M. Nasution | Mahyuddin K. M. Nasution | Simple Search Engine Model: Selective Properties | 6 pages | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we study the relationship between query and search engine by
exploring the selective properties based on a simple search engine. We used the
set theory and utilized the words and terms for defining singleton and
doubleton in the event spaces and then provided their implementation for
proving the existen... | [
{
"created": "Sat, 16 Mar 2013 10:21:33 GMT",
"version": "v1"
}
] | 2013-03-19 | [
[
"Nasution",
"Mahyuddin K. M.",
""
]
] | In this paper we study the relationship between query and search engine by exploring the selective properties based on a simple search engine. We used the set theory and utilized the words and terms for defining singleton and doubleton in the event spaces and then provided their implementation for proving the existence... |
1605.06296 | Naresh Manwani | Aritra Ghosh, Naresh Manwani, P. S. Sastry | On the Robustness of Decision Tree Learning under Label Noise | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In most practical problems of classifier learning, the training data suffers
from the label noise. Hence, it is important to understand how robust is a
learning algorithm to such label noise. This paper presents some theoretical
analysis to show that many popular decision tree algorithms are robust to
symmetric label... | [
{
"created": "Fri, 20 May 2016 11:31:26 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Aug 2016 08:58:06 GMT",
"version": "v2"
}
] | 2016-08-29 | [
[
"Ghosh",
"Aritra",
""
],
[
"Manwani",
"Naresh",
""
],
[
"Sastry",
"P. S.",
""
]
] | In most practical problems of classifier learning, the training data suffers from the label noise. Hence, it is important to understand how robust is a learning algorithm to such label noise. This paper presents some theoretical analysis to show that many popular decision tree algorithms are robust to symmetric label n... |
1911.08600 | Artem Kaznatcheev | David A. Cohen, Martin C. Cooper, Artem Kaznatcheev, Mark Wallace | Steepest ascent can be exponential in bounded treewidth problems | 8 pages main text, 4 pages appendix, 1 page references; fixed error
in f(a,b) to match code | Operations Research Letters 48 (2020) 217-224 | 10.1016/j.orl.2020.02.010 | null | cs.DM cs.DS cs.NE q-bio.PE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the complexity of local search based on steepest ascent. We
show that even when all variables have domains of size two and the underlying
constraint graph of variable interactions has bounded treewidth (in our
construction, treewidth 7), there are fitness landscapes for which an
exponential number of s... | [
{
"created": "Tue, 19 Nov 2019 21:42:08 GMT",
"version": "v1"
},
{
"created": "Mon, 2 Dec 2019 14:42:33 GMT",
"version": "v2"
}
] | 2020-05-18 | [
[
"Cohen",
"David A.",
""
],
[
"Cooper",
"Martin C.",
""
],
[
"Kaznatcheev",
"Artem",
""
],
[
"Wallace",
"Mark",
""
]
] | We investigate the complexity of local search based on steepest ascent. We show that even when all variables have domains of size two and the underlying constraint graph of variable interactions has bounded treewidth (in our construction, treewidth 7), there are fitness landscapes for which an exponential number of ste... |
2210.05174 | Tianheng Cheng | Tianheng Cheng and Xinggang Wang and Shaoyu Chen and Qian Zhang and
Wenyu Liu | BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised
Instance Segmentation | Accepted to CVPR 2023. Code and models:
https://github.com/hustvl/BoxTeacher | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Labeling objects with pixel-wise segmentation requires a huge amount of human
labor compared to bounding boxes. Most existing methods for weakly supervised
instance segmentation focus on designing heuristic losses with priors from
bounding boxes. While, we find that box-supervised methods can produce some
fine segmen... | [
{
"created": "Tue, 11 Oct 2022 06:23:30 GMT",
"version": "v1"
},
{
"created": "Fri, 17 Mar 2023 05:17:43 GMT",
"version": "v2"
}
] | 2023-03-20 | [
[
"Cheng",
"Tianheng",
""
],
[
"Wang",
"Xinggang",
""
],
[
"Chen",
"Shaoyu",
""
],
[
"Zhang",
"Qian",
""
],
[
"Liu",
"Wenyu",
""
]
] | Labeling objects with pixel-wise segmentation requires a huge amount of human labor compared to bounding boxes. Most existing methods for weakly supervised instance segmentation focus on designing heuristic losses with priors from bounding boxes. While, we find that box-supervised methods can produce some fine segmenta... |
2402.15121 | Md Abdullah-Al Kaiser | Md Abdullah-Al Kaiser, Gourav Datta, Peter A. Beerel, and Akhilesh R.
Jaiswal | Toward High Performance, Programmable Extreme-Edge Intelligence for
Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ | 11 pages, 7 figures, 2 table | null | null | null | cs.AR cs.ET eess.IV | http://creativecommons.org/licenses/by/4.0/ | The desire to empower resource-limited edge devices with computer vision (CV)
must overcome the high energy consumption of collecting and processing vast
sensory data. To address the challenge, this work proposes an energy-efficient
non-von-Neumann in-pixel processing solution for neuromorphic vision sensors
employin... | [
{
"created": "Fri, 23 Feb 2024 06:13:15 GMT",
"version": "v1"
}
] | 2024-02-26 | [
[
"Kaiser",
"Md Abdullah-Al",
""
],
[
"Datta",
"Gourav",
""
],
[
"Beerel",
"Peter A.",
""
],
[
"Jaiswal",
"Akhilesh R.",
""
]
] | The desire to empower resource-limited edge devices with computer vision (CV) must overcome the high energy consumption of collecting and processing vast sensory data. To address the challenge, this work proposes an energy-efficient non-von-Neumann in-pixel processing solution for neuromorphic vision sensors employing ... |
2404.16848 | Partha Protim Datta | Partha Protim Datta | Cyber Security issues and Blockchain-Deep Learning based solutions for
UAV and Internet of Drones (FANETs) | null | null | null | null | cs.CR eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Safety-critical systems such as automated embedded or industrial systems have
a strong dependency on the trustworthiness of data collection. As sensors are
the critical component for those systems, it is imperative to address the
attack resilience of sensors
| [
{
"created": "Thu, 29 Feb 2024 01:14:59 GMT",
"version": "v1"
}
] | 2024-04-29 | [
[
"Datta",
"Partha Protim",
""
]
] | Safety-critical systems such as automated embedded or industrial systems have a strong dependency on the trustworthiness of data collection. As sensors are the critical component for those systems, it is imperative to address the attack resilience of sensors |
2406.05645 | Jie Liu | Jie Liu, Yao Wu, Xiaotong Luo, Zongze Wu | Anomaly Multi-classification in Industrial Scenarios: Transferring
Few-shot Learning to a New Task | null | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In industrial scenarios, it is crucial not only to identify anomalous items
but also to classify the type of anomaly. However, research on anomaly
multi-classification remains largely unexplored. This paper proposes a novel
and valuable research task called anomaly multi-classification. Given the
challenges in applyi... | [
{
"created": "Sun, 9 Jun 2024 05:07:39 GMT",
"version": "v1"
}
] | 2024-06-18 | [
[
"Liu",
"Jie",
""
],
[
"Wu",
"Yao",
""
],
[
"Luo",
"Xiaotong",
""
],
[
"Wu",
"Zongze",
""
]
] | In industrial scenarios, it is crucial not only to identify anomalous items but also to classify the type of anomaly. However, research on anomaly multi-classification remains largely unexplored. This paper proposes a novel and valuable research task called anomaly multi-classification. Given the challenges in applying... |
2304.13302 | Fuheng Wu | Fuheng Wu, Ivan Davchev, Jun Qian | HiQ -- A Declarative, Non-intrusive, Dynamic and Transparent
Observability and Optimization System | 7 pages, 12 figures, opensource | null | null | null | cs.DC cs.AI cs.LG cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a non-intrusive, declarative, dynamic and transparent
system called `HiQ` to track Python program runtime information without
compromising on the run-time system performance and losing insight. HiQ can be
used for monolithic and distributed systems, offline and online applications.
HiQ is develope... | [
{
"created": "Wed, 26 Apr 2023 06:11:26 GMT",
"version": "v1"
}
] | 2023-04-27 | [
[
"Wu",
"Fuheng",
""
],
[
"Davchev",
"Ivan",
""
],
[
"Qian",
"Jun",
""
]
] | This paper proposes a non-intrusive, declarative, dynamic and transparent system called `HiQ` to track Python program runtime information without compromising on the run-time system performance and losing insight. HiQ can be used for monolithic and distributed systems, offline and online applications. HiQ is developed ... |
1609.07008 | Edgar Solomonik | Edgar Solomonik, Maciej Besta, Flavio Vella, and Torsten Hoefler | Scaling betweenness centrality using communication-efficient sparse
matrix multiplication | null | null | null | null | cs.DC cs.DM cs.MS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Betweenness centrality (BC) is a crucial graph problem that measures the
significance of a vertex by the number of shortest paths leading through it. We
propose Maximal Frontier Betweenness Centrality (MFBC): a succinct BC algorithm
based on novel sparse matrix multiplication routines that performs a factor of
$p^{1/... | [
{
"created": "Thu, 22 Sep 2016 15:01:30 GMT",
"version": "v1"
},
{
"created": "Wed, 9 Aug 2017 15:30:00 GMT",
"version": "v2"
}
] | 2017-08-10 | [
[
"Solomonik",
"Edgar",
""
],
[
"Besta",
"Maciej",
""
],
[
"Vella",
"Flavio",
""
],
[
"Hoefler",
"Torsten",
""
]
] | Betweenness centrality (BC) is a crucial graph problem that measures the significance of a vertex by the number of shortest paths leading through it. We propose Maximal Frontier Betweenness Centrality (MFBC): a succinct BC algorithm based on novel sparse matrix multiplication routines that performs a factor of $p^{1/3}... |
2405.09911 | Robert Hogan | Robert Hogan, Sean R. Mathieson, Aurel Luca, Soraia Ventura, Sean
Griffin, Geraldine B. Boylan, and John M. O'Toole | Scaling convolutional neural networks achieves expert-level seizure
detection in neonatal EEG | null | null | null | null | cs.LG eess.SP physics.med-ph | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Background: Neonatal seizures are a neurological emergency that require
urgent treatment. They are hard to diagnose clinically and can go undetected if
EEG monitoring is unavailable. EEG interpretation requires specialised
expertise which is not widely available. Algorithms to detect EEG seizures can
address this lim... | [
{
"created": "Thu, 16 May 2024 08:59:20 GMT",
"version": "v1"
}
] | 2024-05-17 | [
[
"Hogan",
"Robert",
""
],
[
"Mathieson",
"Sean R.",
""
],
[
"Luca",
"Aurel",
""
],
[
"Ventura",
"Soraia",
""
],
[
"Griffin",
"Sean",
""
],
[
"Boylan",
"Geraldine B.",
""
],
[
"O'Toole",
"John M.",
""
]
] | Background: Neonatal seizures are a neurological emergency that require urgent treatment. They are hard to diagnose clinically and can go undetected if EEG monitoring is unavailable. EEG interpretation requires specialised expertise which is not widely available. Algorithms to detect EEG seizures can address this limit... |
2311.18440 | Zeeshan Rasheed Mr | Zeeshan Rasheed, Muhammad Waseem, Kai-Kristian Kemell, Wang Xiaofeng,
Anh Nguyen Duc, Kari Syst\"a, Pekka Abrahamsson | Autonomous Agents in Software Development: A Vision Paper | 5 pages, 1 figure | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large Language Models (LLM) and Generative Pre-trained Transformers (GPT),
are reshaping the field of Software Engineering (SE). They enable innovative
methods for executing many software engineering tasks, including automated code
generation, debugging, maintenance, etc. However, only a limited number of
existing wo... | [
{
"created": "Thu, 30 Nov 2023 10:42:43 GMT",
"version": "v1"
}
] | 2023-12-01 | [
[
"Rasheed",
"Zeeshan",
""
],
[
"Waseem",
"Muhammad",
""
],
[
"Kemell",
"Kai-Kristian",
""
],
[
"Xiaofeng",
"Wang",
""
],
[
"Duc",
"Anh Nguyen",
""
],
[
"Systä",
"Kari",
""
],
[
"Abrahamsson",
"Pekka",
""
]... | Large Language Models (LLM) and Generative Pre-trained Transformers (GPT), are reshaping the field of Software Engineering (SE). They enable innovative methods for executing many software engineering tasks, including automated code generation, debugging, maintenance, etc. However, only a limited number of existing work... |
2303.08021 | Mai A. Shaaban | Mai A. Shaaban, Mariam Kashkash, Maryam Alghfeli, Adham Ibrahim | OptBA: Optimizing Hyperparameters with the Bees Algorithm for Improved
Medical Text Classification | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | One of the main challenges in the field of deep learning is obtaining the
optimal model hyperparameters. The search for optimal hyperparameters usually
hinders the progress of solutions to real-world problems such as healthcare.
Previous solutions have been proposed, but they can still get stuck in local
optima. To o... | [
{
"created": "Tue, 14 Mar 2023 16:04:13 GMT",
"version": "v1"
},
{
"created": "Sun, 8 Oct 2023 05:30:33 GMT",
"version": "v2"
},
{
"created": "Sat, 29 Jun 2024 15:40:27 GMT",
"version": "v3"
}
] | 2024-07-02 | [
[
"Shaaban",
"Mai A.",
""
],
[
"Kashkash",
"Mariam",
""
],
[
"Alghfeli",
"Maryam",
""
],
[
"Ibrahim",
"Adham",
""
]
] | One of the main challenges in the field of deep learning is obtaining the optimal model hyperparameters. The search for optimal hyperparameters usually hinders the progress of solutions to real-world problems such as healthcare. Previous solutions have been proposed, but they can still get stuck in local optima. To ove... |
1205.0561 | Gildas Morvan | Gildas Morvan | Multi-level agent-based modeling - A literature survey | v2. Ref 102 added. v3-4 Many refs and text added v5-6 bibliographic
statistics updated. v7 Change of the name of the paper to reflect what it
became, many refs and text added, bibliographic statistics updated | null | null | null | cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | During last decade, multi-level agent-based modeling has received significant
and dramatically increasing interest. In this article we present a
comprehensive and structured review of literature on the subject. We present
the main theoretical contributions and application domains of this concept,
with an emphasis on ... | [
{
"created": "Wed, 2 May 2012 20:13:59 GMT",
"version": "v1"
},
{
"created": "Fri, 4 May 2012 15:19:10 GMT",
"version": "v2"
},
{
"created": "Mon, 11 Jun 2012 08:58:41 GMT",
"version": "v3"
},
{
"created": "Wed, 12 Dec 2012 14:19:42 GMT",
"version": "v4"
},
{
"cre... | 2013-11-18 | [
[
"Morvan",
"Gildas",
""
]
] | During last decade, multi-level agent-based modeling has received significant and dramatically increasing interest. In this article we present a comprehensive and structured review of literature on the subject. We present the main theoretical contributions and application domains of this concept, with an emphasis on so... |
2309.08946 | Seyedkazem Shekofteh | S.-Kazem Shekofteh, Christian Alles, Holger Fr\"oning | Reducing Memory Requirements for the IPU using Butterfly Factorizations | null | null | null | null | cs.DC cs.ET cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | High Performance Computing (HPC) benefits from different improvements during
last decades, specially in terms of hardware platforms to provide more
processing power while maintaining the power consumption at a reasonable level.
The Intelligence Processing Unit (IPU) is a new type of massively parallel
processor, desi... | [
{
"created": "Sat, 16 Sep 2023 10:38:38 GMT",
"version": "v1"
}
] | 2023-09-19 | [
[
"Shekofteh",
"S. -Kazem",
""
],
[
"Alles",
"Christian",
""
],
[
"Fröning",
"Holger",
""
]
] | High Performance Computing (HPC) benefits from different improvements during last decades, specially in terms of hardware platforms to provide more processing power while maintaining the power consumption at a reasonable level. The Intelligence Processing Unit (IPU) is a new type of massively parallel processor, design... |
2403.10408 | Vidminas Vizgirda | Vidminas Vizgirda (1), Rui Zhao (2), and Naman Goel (2) ((1)
University of Edinburgh, (2) University of Oxford) | SocialGenPod: Privacy-Friendly Generative AI Social Web Applications
with Decentralised Personal Data Stores | Demo paper accepted in Companion Proceedings of the ACM Web
Conference 2024 | null | 10.1145/3589335.3651251 | null | cs.CR cs.CY cs.IR cs.LG cs.SI | http://creativecommons.org/licenses/by/4.0/ | We present SocialGenPod, a decentralised and privacy-friendly way of
deploying generative AI Web applications. Unlike centralised Web and data
architectures that keep user data tied to application and service providers, we
show how one can use Solid -- a decentralised Web specification -- to decouple
user data from g... | [
{
"created": "Fri, 15 Mar 2024 15:43:02 GMT",
"version": "v1"
}
] | 2024-03-18 | [
[
"Vizgirda",
"Vidminas",
""
],
[
"Zhao",
"Rui",
""
],
[
"Goel",
"Naman",
""
]
] | We present SocialGenPod, a decentralised and privacy-friendly way of deploying generative AI Web applications. Unlike centralised Web and data architectures that keep user data tied to application and service providers, we show how one can use Solid -- a decentralised Web specification -- to decouple user data from gen... |
1509.01608 | Emilio Ferrara | Santa Agreste, Salvatore Catanese, Pasquale De Meo, Emilio Ferrara,
Giacomo Fiumara | Network Structure and Resilience of Mafia Syndicates | 22 pages, 10 figures, 1 table | Information Sciences, 351, 30-47. 2016 | 10.1016/j.ins.2016.02.027 | null | cs.SI cs.CY physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we present the results of the study of Sicilian Mafia
organization by using Social Network Analysis. The study investigates the
network structure of a Mafia organization, describing its evolution and
highlighting its plasticity to interventions targeting membership and its
resilience to disruption cause... | [
{
"created": "Fri, 4 Sep 2015 21:13:16 GMT",
"version": "v1"
}
] | 2017-03-07 | [
[
"Agreste",
"Santa",
""
],
[
"Catanese",
"Salvatore",
""
],
[
"De Meo",
"Pasquale",
""
],
[
"Ferrara",
"Emilio",
""
],
[
"Fiumara",
"Giacomo",
""
]
] | In this paper we present the results of the study of Sicilian Mafia organization by using Social Network Analysis. The study investigates the network structure of a Mafia organization, describing its evolution and highlighting its plasticity to interventions targeting membership and its resilience to disruption caused ... |
2009.02114 | Alexander Barabanov | Alexander Barabanov, Denis Makrushin | Authentication and authorization in microservice-based systems: survey
of architecture patterns | The work was done in Advanced Software Technology Laboratory, Huawei.
It is planned to be published in "Voprosy kiberbezopasnosti" | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Context. Service-oriented architecture and its microservice-based approach
increase an attack surface of applications. Exposed microservices become a
pivot point for advanced persistent threats and completely change the threat
landscape. Correctly implemented authentication and authorization architecture
patterns are... | [
{
"created": "Fri, 4 Sep 2020 11:19:54 GMT",
"version": "v1"
}
] | 2020-09-07 | [
[
"Barabanov",
"Alexander",
""
],
[
"Makrushin",
"Denis",
""
]
] | Context. Service-oriented architecture and its microservice-based approach increase an attack surface of applications. Exposed microservices become a pivot point for advanced persistent threats and completely change the threat landscape. Correctly implemented authentication and authorization architecture patterns are b... |
2010.03266 | Xingbo Liu | Xiao Kang, Xingbo Liu, Xiushan Nie, Yilong Yin | Learning Binary Semantic Embedding for Histology Image Classification
and Retrieval | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the development of medical imaging technology and machine learning,
computer-assisted diagnosis which can provide impressive reference to
pathologists, attracts extensive research interests. The exponential growth of
medical images and uninterpretability of traditional classification models have
hindered the app... | [
{
"created": "Wed, 7 Oct 2020 08:36:44 GMT",
"version": "v1"
}
] | 2020-10-08 | [
[
"Kang",
"Xiao",
""
],
[
"Liu",
"Xingbo",
""
],
[
"Nie",
"Xiushan",
""
],
[
"Yin",
"Yilong",
""
]
] | With the development of medical imaging technology and machine learning, computer-assisted diagnosis which can provide impressive reference to pathologists, attracts extensive research interests. The exponential growth of medical images and uninterpretability of traditional classification models have hindered the appli... |
1703.03856 | Laurel Orr | Laurel Orr, Magda Balazinska, and Dan Suciu | Probabilistic Database Summarization for Interactive Data Exploration | To appear VLDB 2017 | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a probabilistic approach to generate a small, query-able summary
of a dataset for interactive data exploration. Departing from traditional
summarization techniques, we use the Principle of Maximum Entropy to generate a
probabilistic representation of the data that can be used to give approximate
query answ... | [
{
"created": "Fri, 10 Mar 2017 22:17:22 GMT",
"version": "v1"
},
{
"created": "Tue, 23 May 2017 20:44:53 GMT",
"version": "v2"
}
] | 2017-05-25 | [
[
"Orr",
"Laurel",
""
],
[
"Balazinska",
"Magda",
""
],
[
"Suciu",
"Dan",
""
]
] | We present a probabilistic approach to generate a small, query-able summary of a dataset for interactive data exploration. Departing from traditional summarization techniques, we use the Principle of Maximum Entropy to generate a probabilistic representation of the data that can be used to give approximate query answer... |
2402.11773 | Kohei Obata | Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai | Dynamic Multi-Network Mining of Tensor Time Series | Accepted by WWW 2024 | null | null | null | cs.LG cs.AI cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | Subsequence clustering of time series is an essential task in data mining,
and interpreting the resulting clusters is also crucial since we generally do
not have prior knowledge of the data. Thus, given a large collection of tensor
time series consisting of multiple modes, including timestamps, how can we
achieve sub... | [
{
"created": "Mon, 19 Feb 2024 02:06:04 GMT",
"version": "v1"
},
{
"created": "Thu, 22 Feb 2024 01:17:29 GMT",
"version": "v2"
}
] | 2024-02-23 | [
[
"Obata",
"Kohei",
""
],
[
"Kawabata",
"Koki",
""
],
[
"Matsubara",
"Yasuko",
""
],
[
"Sakurai",
"Yasushi",
""
]
] | Subsequence clustering of time series is an essential task in data mining, and interpreting the resulting clusters is also crucial since we generally do not have prior knowledge of the data. Thus, given a large collection of tensor time series consisting of multiple modes, including timestamps, how can we achieve subse... |
2305.14690 | Tongtong Fang | Tongtong Fang, Nan Lu, Gang Niu, Masashi Sugiyama | Generalizing Importance Weighting to A Universal Solver for Distribution
Shift Problems | NeurIPS 2023 camera-ready version (this paper was selected for
spotlight presentation) | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Distribution shift (DS) may have two levels: the distribution itself changes,
and the support (i.e., the set where the probability density is non-zero) also
changes. When considering the support change between the training and test
distributions, there can be four cases: (i) they exactly match; (ii) the
training supp... | [
{
"created": "Wed, 24 May 2023 03:53:15 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Nov 2023 00:33:35 GMT",
"version": "v2"
}
] | 2023-11-03 | [
[
"Fang",
"Tongtong",
""
],
[
"Lu",
"Nan",
""
],
[
"Niu",
"Gang",
""
],
[
"Sugiyama",
"Masashi",
""
]
] | Distribution shift (DS) may have two levels: the distribution itself changes, and the support (i.e., the set where the probability density is non-zero) also changes. When considering the support change between the training and test distributions, there can be four cases: (i) they exactly match; (ii) the training suppor... |
0801.1718 | Milan Derpich | Milan S. Derpich, Jan Ostergaard and Daniel E. Quevedo | Achieving the Quadratic Gaussian Rate-Distortion Function for Source
Uncorrelated Distortions | Technical report, January 2008. Other papers available from
http://msderpich.no-ip.org | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We prove achievability of the recently characterized quadratic Gaussian
rate-distortion function (RDF) subject to the constraint that the distortion is
uncorrelated to the source. This result is based on shaped dithered lattice
quantization in the limit as the lattice dimension tends to infinity and holds
for all pos... | [
{
"created": "Fri, 11 Jan 2008 04:08:07 GMT",
"version": "v1"
},
{
"created": "Sun, 13 Jan 2008 04:48:14 GMT",
"version": "v2"
},
{
"created": "Thu, 24 Jul 2008 10:02:42 GMT",
"version": "v3"
}
] | 2008-07-24 | [
[
"Derpich",
"Milan S.",
""
],
[
"Ostergaard",
"Jan",
""
],
[
"Quevedo",
"Daniel E.",
""
]
] | We prove achievability of the recently characterized quadratic Gaussian rate-distortion function (RDF) subject to the constraint that the distortion is uncorrelated to the source. This result is based on shaped dithered lattice quantization in the limit as the lattice dimension tends to infinity and holds for all posit... |
2203.06246 | Fernando Delgado | Fernando Delgado, Solon Barocas, and Karen Levy | An Uncommon Task: Participatory Design in Legal AI | null | In Proceedings of the ACM on Human-Computer Interaction, 6, CSCW1,
Article 51 (April 2022), 23 pages | 10.1145/3512898 | null | cs.CY cs.AI cs.HC cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite growing calls for participation in AI design, there are to date few
empirical studies of what these processes look like and how they can be
structured for meaningful engagement with domain experts. In this paper, we
examine a notable yet understudied AI design process in the legal domain that
took place over ... | [
{
"created": "Tue, 8 Mar 2022 15:46:52 GMT",
"version": "v1"
}
] | 2022-03-15 | [
[
"Delgado",
"Fernando",
""
],
[
"Barocas",
"Solon",
""
],
[
"Levy",
"Karen",
""
]
] | Despite growing calls for participation in AI design, there are to date few empirical studies of what these processes look like and how they can be structured for meaningful engagement with domain experts. In this paper, we examine a notable yet understudied AI design process in the legal domain that took place over a ... |
1909.00543 | Aria Rezaei | Aria Rezaei, Jie Gao | On Privacy of Socially Contagious Attributes | 10 pages, ICDM 2019 | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A commonly used method to protect user privacy in data collection is to
perform randomized perturbation on user's real data before collection so that
aggregated statistics can still be inferred without endangering secrets held by
individuals. In this paper, we take a closer look at the validity of
Differential Privac... | [
{
"created": "Mon, 2 Sep 2019 04:41:15 GMT",
"version": "v1"
}
] | 2019-09-04 | [
[
"Rezaei",
"Aria",
""
],
[
"Gao",
"Jie",
""
]
] | A commonly used method to protect user privacy in data collection is to perform randomized perturbation on user's real data before collection so that aggregated statistics can still be inferred without endangering secrets held by individuals. In this paper, we take a closer look at the validity of Differential Privacy ... |
2203.08308 | Kuan-Hao Huang | Kuan-Hao Huang, I-Hung Hsu, Premkumar Natarajan, Kai-Wei Chang, Nanyun
Peng | Multilingual Generative Language Models for Zero-Shot Cross-Lingual
Event Argument Extraction | ACL 2022. Our code is available at
https://github.com/PlusLabNLP/X-Gear | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a study on leveraging multilingual pre-trained generative language
models for zero-shot cross-lingual event argument extraction (EAE). By
formulating EAE as a language generation task, our method effectively encodes
event structures and captures the dependencies between arguments. We design
language-agnost... | [
{
"created": "Tue, 15 Mar 2022 23:00:32 GMT",
"version": "v1"
}
] | 2022-03-17 | [
[
"Huang",
"Kuan-Hao",
""
],
[
"Hsu",
"I-Hung",
""
],
[
"Natarajan",
"Premkumar",
""
],
[
"Chang",
"Kai-Wei",
""
],
[
"Peng",
"Nanyun",
""
]
] | We present a study on leveraging multilingual pre-trained generative language models for zero-shot cross-lingual event argument extraction (EAE). By formulating EAE as a language generation task, our method effectively encodes event structures and captures the dependencies between arguments. We design language-agnostic... |
2001.03272 | Kaushik Chakrabarti | Kaushik Chakrabarti, Zhimin Chen, Siamak Shakeri, Guihong Cao | Open Domain Question Answering Using Web Tables | null | null | null | null | cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tables extracted from web documents can be used to directly answer many web
search queries. Previous works on question answering (QA) using web tables have
focused on factoid queries, i.e., those answerable with a short string like
person name or a number. However, many queries answerable using tables are
non-factoid... | [
{
"created": "Fri, 10 Jan 2020 01:25:04 GMT",
"version": "v1"
}
] | 2020-01-13 | [
[
"Chakrabarti",
"Kaushik",
""
],
[
"Chen",
"Zhimin",
""
],
[
"Shakeri",
"Siamak",
""
],
[
"Cao",
"Guihong",
""
]
] | Tables extracted from web documents can be used to directly answer many web search queries. Previous works on question answering (QA) using web tables have focused on factoid queries, i.e., those answerable with a short string like person name or a number. However, many queries answerable using tables are non-factoid i... |
2404.08408 | Hongtao Wang | Hongtao Wang, Li Long, Jiangshe Zhang, Xiaoli Wei, Chunxia Zhang,
Zhenbo Guo | Seismic First Break Picking in a Higher Dimension Using Deep Graph
Learning | null | null | null | null | cs.LG cs.AI eess.SP physics.geo-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Contemporary automatic first break (FB) picking methods typically analyze 1D
signals, 2D source gathers, or 3D source-receiver gathers. Utilizing
higher-dimensional data, such as 2D or 3D, incorporates global features,
improving the stability of local picking. Despite the benefits,
high-dimensional data requires stru... | [
{
"created": "Fri, 12 Apr 2024 11:36:24 GMT",
"version": "v1"
}
] | 2024-04-15 | [
[
"Wang",
"Hongtao",
""
],
[
"Long",
"Li",
""
],
[
"Zhang",
"Jiangshe",
""
],
[
"Wei",
"Xiaoli",
""
],
[
"Zhang",
"Chunxia",
""
],
[
"Guo",
"Zhenbo",
""
]
] | Contemporary automatic first break (FB) picking methods typically analyze 1D signals, 2D source gathers, or 3D source-receiver gathers. Utilizing higher-dimensional data, such as 2D or 3D, incorporates global features, improving the stability of local picking. Despite the benefits, high-dimensional data requires struct... |
2010.00163 | Yayi Zou | Yayi Zou, Zhiwei Qin | Bayesian Meta-reinforcement Learning for Traffic Signal Control | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, there has been increasing amount of interest around meta
reinforcement learning methods for traffic signal control, which have achieved
better performance compared with traditional control methods. However, previous
methods lack robustness in adaptation and stability in training process in
complex si... | [
{
"created": "Thu, 1 Oct 2020 01:15:17 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Oct 2021 23:56:55 GMT",
"version": "v2"
}
] | 2021-10-26 | [
[
"Zou",
"Yayi",
""
],
[
"Qin",
"Zhiwei",
""
]
] | In recent years, there has been increasing amount of interest around meta reinforcement learning methods for traffic signal control, which have achieved better performance compared with traditional control methods. However, previous methods lack robustness in adaptation and stability in training process in complex situ... |
2312.13716 | Yuanfu Wang | Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao | Critic-Guided Decision Transformer for Offline Reinforcement Learning | Accepted at AAAI 2024 | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advancements in offline reinforcement learning (RL) have underscored
the capabilities of Return-Conditioned Supervised Learning (RCSL), a paradigm
that learns the action distribution based on target returns for each state in a
supervised manner. However, prevailing RCSL methods largely focus on
deterministic t... | [
{
"created": "Thu, 21 Dec 2023 10:29:17 GMT",
"version": "v1"
}
] | 2023-12-22 | [
[
"Wang",
"Yuanfu",
""
],
[
"Yang",
"Chao",
""
],
[
"Wen",
"Ying",
""
],
[
"Liu",
"Yu",
""
],
[
"Qiao",
"Yu",
""
]
] | Recent advancements in offline reinforcement learning (RL) have underscored the capabilities of Return-Conditioned Supervised Learning (RCSL), a paradigm that learns the action distribution based on target returns for each state in a supervised manner. However, prevailing RCSL methods largely focus on deterministic tra... |
2102.08430 | Xiumin Shang | Xiumin Shang and Jinping Yang and Bingquan Zhu and Lin Ye and Jing
Zhang, Jianping Xu and Qin Lyu and Ruisheng Diao | Multi-Stage Transmission Line Flow Control Using Centralized and
Decentralized Reinforcement Learning Agents | This work is accepted by NeurIPS ML4Eng workshop 2020, please refer
to https://ml4eng.github.io/camera_readys/56.pdf | null | null | null | cs.LG cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Planning future operational scenarios of bulk power systems that meet
security and economic constraints typically requires intensive labor efforts in
performing massive simulations. To automate this process and relieve engineers'
burden, a novel multi-stage control approach is presented in this paper to
train central... | [
{
"created": "Tue, 16 Feb 2021 19:54:30 GMT",
"version": "v1"
}
] | 2021-02-18 | [
[
"Shang",
"Xiumin",
""
],
[
"Yang",
"Jinping",
""
],
[
"Zhu",
"Bingquan",
""
],
[
"Ye",
"Lin",
""
],
[
"Zhang",
"Jing",
""
],
[
"Xu",
"Jianping",
""
],
[
"Lyu",
"Qin",
""
],
[
"Diao",
"Ruisheng",... | Planning future operational scenarios of bulk power systems that meet security and economic constraints typically requires intensive labor efforts in performing massive simulations. To automate this process and relieve engineers' burden, a novel multi-stage control approach is presented in this paper to train centraliz... |
2401.15854 | Phat Lam | Phat Lam, Lam Pham, Tin Nguyen, Hieu Tang, Michael Seidl, Medina
Andresel, Alexander Schindler | LSTM-based Deep Neural Network With A Focus on Sentence Representation
for Sequential Sentence Classification in Medical Scientific Abstracts | Submitted to FedCSIS 2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | The Sequential Sentence Classification task within the domain of medical
abstracts, termed as SSC, involves the categorization of sentences into
pre-defined headings based on their roles in conveying critical information in
the abstract. In the SSC task, sentences are sequentially related to each
other. For this reas... | [
{
"created": "Mon, 29 Jan 2024 03:05:35 GMT",
"version": "v1"
},
{
"created": "Fri, 31 May 2024 08:37:04 GMT",
"version": "v2"
}
] | 2024-06-03 | [
[
"Lam",
"Phat",
""
],
[
"Pham",
"Lam",
""
],
[
"Nguyen",
"Tin",
""
],
[
"Tang",
"Hieu",
""
],
[
"Seidl",
"Michael",
""
],
[
"Andresel",
"Medina",
""
],
[
"Schindler",
"Alexander",
""
]
] | The Sequential Sentence Classification task within the domain of medical abstracts, termed as SSC, involves the categorization of sentences into pre-defined headings based on their roles in conveying critical information in the abstract. In the SSC task, sentences are sequentially related to each other. For this reason... |
1704.00571 | Richard La | Richard J. La | Effects of Degree Correlations in Interdependent Security: Good or Bad? | 14 pages, 3 figures | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the influence of degree correlations or network mixing in
interdependent security. We model the interdependence in security among agents
using a dependence graph and employ a population game model to capture the
interaction among many agents when they are strategic and have various security
measures they can... | [
{
"created": "Mon, 3 Apr 2017 13:24:36 GMT",
"version": "v1"
}
] | 2017-04-04 | [
[
"La",
"Richard J.",
""
]
] | We study the influence of degree correlations or network mixing in interdependent security. We model the interdependence in security among agents using a dependence graph and employ a population game model to capture the interaction among many agents when they are strategic and have various security measures they can c... |
2403.14649 | Nicolas Jullien | Nicolas Jullien (IMT Atlantique - LUSSI, MARSOUIN, LEGO) | The economic value of scientific software | in French language | Revue Lamy Droit de l'immat{\'e}riel, 2024, 210 | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Academic institutions and their staff use, adapt and create software. We're
thinking of business tools used to carry out their mission: teaching management
(Moodle) or subject teaching support (such as Maxima for formal calculus), for
example. We're talking about software resulting from research work, designed by
a r... | [
{
"created": "Fri, 23 Feb 2024 08:20:19 GMT",
"version": "v1"
}
] | 2024-03-25 | [
[
"Jullien",
"Nicolas",
"",
"IMT Atlantique - LUSSI, MARSOUIN, LEGO"
]
] | Academic institutions and their staff use, adapt and create software. We're thinking of business tools used to carry out their mission: teaching management (Moodle) or subject teaching support (such as Maxima for formal calculus), for example. We're talking about software resulting from research work, designed by a res... |
1807.07878 | Ibrahim Issa | Ibrahim Issa, Aaron B. Wagner, and Sudeep Kamath | An Operational Approach to Information Leakage | Submitted to IEEE Transactions on Information Theory (appeared in
part in CISS 2016, ISIT 2016 & 2017) | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given two random variables $X$ and $Y$, an operational approach is undertaken
to quantify the ``leakage'' of information from $X$ to $Y$. The resulting
measure $\mathcal{L}(X \!\! \to \!\! Y)$ is called \emph{maximal leakage}, and
is defined as the multiplicative increase, upon observing $Y$, of the
probability of co... | [
{
"created": "Fri, 20 Jul 2018 14:55:31 GMT",
"version": "v1"
}
] | 2018-07-23 | [
[
"Issa",
"Ibrahim",
""
],
[
"Wagner",
"Aaron B.",
""
],
[
"Kamath",
"Sudeep",
""
]
] | Given two random variables $X$ and $Y$, an operational approach is undertaken to quantify the ``leakage'' of information from $X$ to $Y$. The resulting measure $\mathcal{L}(X \!\! \to \!\! Y)$ is called \emph{maximal leakage}, and is defined as the multiplicative increase, upon observing $Y$, of the probability of corr... |
1701.02601 | Harishchandra Dubey | Rabindra K. Barik, Harishchandra Dubey, Arun B. Samaddar, Rajan D.
Gupta, Prakash K. Ray | FogGIS: Fog Computing for Geospatial Big Data Analytics | 6 pages, 4 figures, 1 table, 3rd IEEE Uttar Pradesh Section
International Conference on Electrical, Computer and Electronics (09-11
December, 2016) Indian Institute of Technology (Banaras Hindu University)
Varanasi, India | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cloud Geographic Information Systems (GIS) has emerged as a tool for
analysis, processing and transmission of geospatial data. The Fog computing is
a paradigm where Fog devices help to increase throughput and reduce latency at
the edge of the client. This paper developed a Fog-based framework named Fog
GIS for mining... | [
{
"created": "Sat, 10 Dec 2016 12:59:54 GMT",
"version": "v1"
}
] | 2017-01-11 | [
[
"Barik",
"Rabindra K.",
""
],
[
"Dubey",
"Harishchandra",
""
],
[
"Samaddar",
"Arun B.",
""
],
[
"Gupta",
"Rajan D.",
""
],
[
"Ray",
"Prakash K.",
""
]
] | Cloud Geographic Information Systems (GIS) has emerged as a tool for analysis, processing and transmission of geospatial data. The Fog computing is a paradigm where Fog devices help to increase throughput and reduce latency at the edge of the client. This paper developed a Fog-based framework named Fog GIS for mining a... |
1501.04478 | Reevana Balmahoon | R Balmahoon and L Cheng | Information Leakage of Heterogeneous Encoded Correlated Sequences over
Eavesdropped Channel | arXiv admin note: substantial text overlap with arXiv:1410.8805 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Correlated sources are present in communication systems where protocols
ensure that there is some predetermined information for sources. Here
correlated sources across an eavesdropped channel that incorporate a
heterogeneous encoding scheme and their effect on the information leakage when
some channel information and... | [
{
"created": "Mon, 19 Jan 2015 12:58:19 GMT",
"version": "v1"
},
{
"created": "Fri, 23 Jan 2015 08:00:27 GMT",
"version": "v2"
}
] | 2015-01-26 | [
[
"Balmahoon",
"R",
""
],
[
"Cheng",
"L",
""
]
] | Correlated sources are present in communication systems where protocols ensure that there is some predetermined information for sources. Here correlated sources across an eavesdropped channel that incorporate a heterogeneous encoding scheme and their effect on the information leakage when some channel information and a... |
1705.07237 | Mustafa Kishk | Mustafa A. Kishk and Harpreet S. Dhillon | Coexistence of RF-powered IoT and a Primary Wireless Network with
Secrecy Guard Zones | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies the secrecy performance of a wireless network (primary
network) overlaid with an ambient RF energy harvesting IoT network (secondary
network). The nodes in the secondary network are assumed to be solely powered
by ambient RF energy harvested from the transmissions of the primary network.
We assume ... | [
{
"created": "Sat, 20 May 2017 00:45:53 GMT",
"version": "v1"
}
] | 2017-05-23 | [
[
"Kishk",
"Mustafa A.",
""
],
[
"Dhillon",
"Harpreet S.",
""
]
] | This paper studies the secrecy performance of a wireless network (primary network) overlaid with an ambient RF energy harvesting IoT network (secondary network). The nodes in the secondary network are assumed to be solely powered by ambient RF energy harvested from the transmissions of the primary network. We assume th... |
1607.01679 | Manuel Blanco Valentin Eng. | Manuel Blanco Valentin, Clecio Roque De Bom, Marcio Portes de
Albuquerque, Marcelo Portes de Albuquerque, Elisangela Faria, Maury Duarte
Correia, Rodrigo Surmas | On a method for Rock Classification using Textural Features and Genetic
Optimization | 13 pages, 3 figures, 1 appendix. Replaced to match the published
version | Notas Tecnicas do CBPF, v.7, n.1 (2017) | 10.7437/NT2236-7640/2017.01.003 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we present a method to classify a set of rock textures based on
a Spectral Analysis and the extraction of the texture Features of the resulted
images. Up to 520 features were tested using 4 different filters and all 31
different combinations were verified. The classification process relies on a
Naive Bay... | [
{
"created": "Wed, 6 Jul 2016 15:45:21 GMT",
"version": "v1"
},
{
"created": "Thu, 17 Aug 2017 19:16:31 GMT",
"version": "v2"
}
] | 2017-08-21 | [
[
"Valentin",
"Manuel Blanco",
""
],
[
"De Bom",
"Clecio Roque",
""
],
[
"de Albuquerque",
"Marcio Portes",
""
],
[
"de Albuquerque",
"Marcelo Portes",
""
],
[
"Faria",
"Elisangela",
""
],
[
"Correia",
"Maury Duarte",
""
]... | In this work we present a method to classify a set of rock textures based on a Spectral Analysis and the extraction of the texture Features of the resulted images. Up to 520 features were tested using 4 different filters and all 31 different combinations were verified. The classification process relies on a Naive Bayes... |
2302.00623 | Antonio De Domenico | Fadhel Ayed, Antonio De Domenico, Adrian Garcia-Rodriguez, David
Lopez-Perez | Accordion: A Communication-Aware Machine Learning Framework for Next
Generation Networks | null | null | null | null | cs.NI cs.LG eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this article, we advocate for the design of ad hoc artificial intelligence
(AI)/machine learning (ML) models to facilitate their usage in future smart
infrastructures based on communication networks. To motivate this, we first
review key operations identified by the 3GPP for transferring AI/ML models
through 5G ne... | [
{
"created": "Thu, 12 Jan 2023 10:30:43 GMT",
"version": "v1"
}
] | 2023-02-02 | [
[
"Ayed",
"Fadhel",
""
],
[
"De Domenico",
"Antonio",
""
],
[
"Garcia-Rodriguez",
"Adrian",
""
],
[
"Lopez-Perez",
"David",
""
]
] | In this article, we advocate for the design of ad hoc artificial intelligence (AI)/machine learning (ML) models to facilitate their usage in future smart infrastructures based on communication networks. To motivate this, we first review key operations identified by the 3GPP for transferring AI/ML models through 5G netw... |
2110.09624 | Eric Horvitz | Eric Horvitz and John Breese | Ideal Partition of Resources for Metareasoning | 12 pages, 5 figures. January 1990 technical report on principles of
metareasoning and bounded optimality | null | null | Report-no: KSL-90-26, Computer Science Department, Stanford
University | cs.AI | http://creativecommons.org/licenses/by-sa/4.0/ | We can achieve significant gains in the value of computation by metareasoning
about the nature or extent of base-level problem solving before executing a
solution. However, resources that are irrevocably committed to metareasoning
are not available for executing a solution. Thus, it is important to determine
the port... | [
{
"created": "Mon, 18 Oct 2021 21:20:26 GMT",
"version": "v1"
}
] | 2021-10-20 | [
[
"Horvitz",
"Eric",
""
],
[
"Breese",
"John",
""
]
] | We can achieve significant gains in the value of computation by metareasoning about the nature or extent of base-level problem solving before executing a solution. However, resources that are irrevocably committed to metareasoning are not available for executing a solution. Thus, it is important to determine the portio... |
2007.02798 | Sam Bond-Taylor | Sam Bond-Taylor and Chris G. Willcocks | Gradient Origin Networks | 16 pages, 17 figures, accepted at ICLR 2021, camera-ready version | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a new type of generative model that is able to quickly
learn a latent representation without an encoder. This is achieved using
empirical Bayes to calculate the expectation of the posterior, which is
implemented by initialising a latent vector with zeros, then using the gradient
of the log-likelih... | [
{
"created": "Mon, 6 Jul 2020 15:00:11 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Jul 2020 08:44:05 GMT",
"version": "v2"
},
{
"created": "Thu, 30 Jul 2020 17:18:20 GMT",
"version": "v3"
},
{
"created": "Thu, 21 Jan 2021 15:38:55 GMT",
"version": "v4"
},
{
"cre... | 2021-03-25 | [
[
"Bond-Taylor",
"Sam",
""
],
[
"Willcocks",
"Chris G.",
""
]
] | This paper proposes a new type of generative model that is able to quickly learn a latent representation without an encoder. This is achieved using empirical Bayes to calculate the expectation of the posterior, which is implemented by initialising a latent vector with zeros, then using the gradient of the log-likelihoo... |
2106.15318 | Dimitrios Kollias | Dimitrios Kollias and Irene Kotsia and Elnar Hajiyev and Stefanos
Zafeiriou | Analysing Affective Behavior in the second ABAW2 Competition | arXiv admin note: substantial text overlap with arXiv:2001.11409 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The Affective Behavior Analysis in-the-wild (ABAW2) 2021 Competition is the
second -- following the first very successful ABAW Competition held in
conjunction with IEEE FG 2020- Competition that aims at automatically analyzing
affect. ABAW2 is split into three Challenges, each one addressing one of the
three main beh... | [
{
"created": "Mon, 14 Jun 2021 11:30:19 GMT",
"version": "v1"
},
{
"created": "Sat, 3 Jul 2021 19:33:22 GMT",
"version": "v2"
}
] | 2021-07-06 | [
[
"Kollias",
"Dimitrios",
""
],
[
"Kotsia",
"Irene",
""
],
[
"Hajiyev",
"Elnar",
""
],
[
"Zafeiriou",
"Stefanos",
""
]
] | The Affective Behavior Analysis in-the-wild (ABAW2) 2021 Competition is the second -- following the first very successful ABAW Competition held in conjunction with IEEE FG 2020- Competition that aims at automatically analyzing affect. ABAW2 is split into three Challenges, each one addressing one of the three main behav... |
2101.02486 | Leonardo Maria Millefiori | Samuele Capobianco, Leonardo M. Millefiori, Nicola Forti, Paolo Braca,
and Peter Willett | Deep Learning Methods for Vessel Trajectory Prediction based on
Recurrent Neural Networks | Accepted for publications in IEEE Transactions on Aerospace and
Electronic Systems, 17 pages, 9 figures | IEEE Transactions on Aerospace and Electronic Systems, vol. 57,
no. 6, pp. 4329-4346, 2021 | 10.1109/TAES.2021.3096873 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data-driven methods open up unprecedented possibilities for maritime
surveillance using Automatic Identification System (AIS) data. In this work, we
explore deep learning strategies using historical AIS observations to address
the problem of predicting future vessel trajectories with a prediction horizon
of several h... | [
{
"created": "Thu, 7 Jan 2021 11:05:47 GMT",
"version": "v1"
},
{
"created": "Fri, 4 Jun 2021 11:49:02 GMT",
"version": "v2"
}
] | 2023-01-18 | [
[
"Capobianco",
"Samuele",
""
],
[
"Millefiori",
"Leonardo M.",
""
],
[
"Forti",
"Nicola",
""
],
[
"Braca",
"Paolo",
""
],
[
"Willett",
"Peter",
""
]
] | Data-driven methods open up unprecedented possibilities for maritime surveillance using Automatic Identification System (AIS) data. In this work, we explore deep learning strategies using historical AIS observations to address the problem of predicting future vessel trajectories with a prediction horizon of several hou... |
1905.09107 | Michael Schaub | Michael T. Schaub and Santiago Segarra and John N. Tsitsiklis | Blind identification of stochastic block models from dynamical
observations | 33 pages; 4 figures | SIAM Journal on Mathematics of Data Science 2020 2:2, 335-367 | 10.1137/19M1263340 | null | cs.LG cs.SI physics.soc-ph stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider a blind identification problem in which we aim to recover a
statistical model of a network without knowledge of the network's edges, but
based solely on nodal observations of a certain process. More concretely, we
focus on observations that consist of single snapshots taken from multiple
trajectories of a... | [
{
"created": "Wed, 22 May 2019 12:45:04 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Dec 2019 12:28:04 GMT",
"version": "v2"
}
] | 2020-05-08 | [
[
"Schaub",
"Michael T.",
""
],
[
"Segarra",
"Santiago",
""
],
[
"Tsitsiklis",
"John N.",
""
]
] | We consider a blind identification problem in which we aim to recover a statistical model of a network without knowledge of the network's edges, but based solely on nodal observations of a certain process. More concretely, we focus on observations that consist of single snapshots taken from multiple trajectories of a d... |
1806.07039 | Linkai Luo | Linkai Luo, Haiqing Yang and Francis Y. L. Chin | EmotionX-DLC: Self-Attentive BiLSTM for Detecting Sequential Emotions in
Dialogue | 9 pages, 3 figures | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a self-attentive bidirectional long short-term
memory (SA-BiLSTM) network to predict multiple emotions for the EmotionX
challenge. The BiLSTM exhibits the power of modeling the word dependencies, and
extracting the most relevant features for emotion classification. Building on
top of BiLSTM,... | [
{
"created": "Tue, 19 Jun 2018 05:03:23 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Jun 2018 07:07:53 GMT",
"version": "v2"
}
] | 2018-06-21 | [
[
"Luo",
"Linkai",
""
],
[
"Yang",
"Haiqing",
""
],
[
"Chin",
"Francis Y. L.",
""
]
] | In this paper, we propose a self-attentive bidirectional long short-term memory (SA-BiLSTM) network to predict multiple emotions for the EmotionX challenge. The BiLSTM exhibits the power of modeling the word dependencies, and extracting the most relevant features for emotion classification. Building on top of BiLSTM, t... |
2403.03558 | Zhangyue Yin | Yuhong Sun, Zhangyue Yin, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Hui Zhao | Benchmarking Hallucination in Large Language Models based on
Unanswerable Math Word Problem | 11 pages, 8 figures, accepted by LREC-Coling 2024 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs) are highly effective in various natural language
processing (NLP) tasks. However, they are susceptible to producing unreliable
conjectures in ambiguous contexts called hallucination. This paper presents a
new method for evaluating LLM hallucination in Question Answering (QA) based on
the ... | [
{
"created": "Wed, 6 Mar 2024 09:06:34 GMT",
"version": "v1"
}
] | 2024-03-07 | [
[
"Sun",
"Yuhong",
""
],
[
"Yin",
"Zhangyue",
""
],
[
"Guo",
"Qipeng",
""
],
[
"Wu",
"Jiawen",
""
],
[
"Qiu",
"Xipeng",
""
],
[
"Zhao",
"Hui",
""
]
] | Large language models (LLMs) are highly effective in various natural language processing (NLP) tasks. However, they are susceptible to producing unreliable conjectures in ambiguous contexts called hallucination. This paper presents a new method for evaluating LLM hallucination in Question Answering (QA) based on the un... |
2306.06672 | William Chen | William Chen, Xuankai Chang, Yifan Peng, Zhaoheng Ni, Soumi Maiti,
Shinji Watanabe | Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with
Academic Compute | Accepted at INTERSPEECH 2023 | null | null | null | cs.CL cs.AI eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-supervised learning (SSL) has led to great strides in speech processing.
However, the resources needed to train these models has become prohibitively
large as they continue to scale. Currently, only a few groups with substantial
resources are capable of creating SSL models, which harms reproducibility. In
this w... | [
{
"created": "Sun, 11 Jun 2023 12:53:46 GMT",
"version": "v1"
}
] | 2023-06-13 | [
[
"Chen",
"William",
""
],
[
"Chang",
"Xuankai",
""
],
[
"Peng",
"Yifan",
""
],
[
"Ni",
"Zhaoheng",
""
],
[
"Maiti",
"Soumi",
""
],
[
"Watanabe",
"Shinji",
""
]
] | Self-supervised learning (SSL) has led to great strides in speech processing. However, the resources needed to train these models has become prohibitively large as they continue to scale. Currently, only a few groups with substantial resources are capable of creating SSL models, which harms reproducibility. In this wor... |
cs/0510030 | Amin Mobasher | Amin Mobasher, Mahmoud Taherzadeh, Renata Sotirov, and Amir K.
Khandani | A Near Maximum Likelihood Decoding Algorithm for MIMO Systems Based on
Semi-Definite Programming | Submitted to IEEE Trans. on Info. Theory, Revised | null | null | UW-E&CE#2005-12 | cs.IT math.IT | null | In Multi-Input Multi-Output (MIMO) systems, Maximum-Likelihood (ML) decoding
is equivalent to finding the closest lattice point in an N-dimensional complex
space. In general, this problem is known to be NP hard. In this paper, we
propose a quasi-maximum likelihood algorithm based on Semi-Definite Programming
(SDP). W... | [
{
"created": "Wed, 12 Oct 2005 00:35:23 GMT",
"version": "v1"
},
{
"created": "Thu, 31 May 2007 15:03:45 GMT",
"version": "v2"
}
] | 2007-07-13 | [
[
"Mobasher",
"Amin",
""
],
[
"Taherzadeh",
"Mahmoud",
""
],
[
"Sotirov",
"Renata",
""
],
[
"Khandani",
"Amir K.",
""
]
] | In Multi-Input Multi-Output (MIMO) systems, Maximum-Likelihood (ML) decoding is equivalent to finding the closest lattice point in an N-dimensional complex space. In general, this problem is known to be NP hard. In this paper, we propose a quasi-maximum likelihood algorithm based on Semi-Definite Programming (SDP). We ... |
2111.10672 | Adarsh Kumar | Adarsh Kumar, Kausik Subramanian, Shivaram Venkataraman, Aditya Akella | Doing More by Doing Less: How Structured Partial Backpropagation
Improves Deep Learning Clusters | Accepted at DistributedML-2021 | null | null | null | cs.DC cs.LG | http://creativecommons.org/licenses/by/4.0/ | Many organizations employ compute clusters equipped with accelerators such as
GPUs and TPUs for training deep learning models in a distributed fashion.
Training is resource-intensive, consuming significant compute, memory, and
network resources. Many prior works explore how to reduce training resource
footprint witho... | [
{
"created": "Sat, 20 Nov 2021 20:34:26 GMT",
"version": "v1"
}
] | 2021-11-23 | [
[
"Kumar",
"Adarsh",
""
],
[
"Subramanian",
"Kausik",
""
],
[
"Venkataraman",
"Shivaram",
""
],
[
"Akella",
"Aditya",
""
]
] | Many organizations employ compute clusters equipped with accelerators such as GPUs and TPUs for training deep learning models in a distributed fashion. Training is resource-intensive, consuming significant compute, memory, and network resources. Many prior works explore how to reduce training resource footprint without... |
2011.12563 | Shan Lin | Shan Lin, Chang-Tsun Li, Alex C. Kot | Multi-Domain Adversarial Feature Generalization for Person
Re-Identification | TIP (Accept with Mandatory Minor Revisions) | null | 10.1109/TIP.2020.3046864 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the assistance of sophisticated training methods applied to single
labeled datasets, the performance of fully-supervised person re-identification
(Person Re-ID) has been improved significantly in recent years. However, these
models trained on a single dataset usually suffer from considerable performance
degradat... | [
{
"created": "Wed, 25 Nov 2020 08:03:15 GMT",
"version": "v1"
}
] | 2021-02-03 | [
[
"Lin",
"Shan",
""
],
[
"Li",
"Chang-Tsun",
""
],
[
"Kot",
"Alex C.",
""
]
] | With the assistance of sophisticated training methods applied to single labeled datasets, the performance of fully-supervised person re-identification (Person Re-ID) has been improved significantly in recent years. However, these models trained on a single dataset usually suffer from considerable performance degradatio... |
1803.04360 | Viktor Larsson | Viktor Larsson, Magnus Oskarsson, Kalle {\AA}str\"om, Alge Wallis,
Zuzana Kukelova, Tomas Pajdla | Beyond Gr\"obner Bases: Basis Selection for Minimal Solvers | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many computer vision applications require robust estimation of the underlying
geometry, in terms of camera motion and 3D structure of the scene. These robust
methods often rely on running minimal solvers in a RANSAC framework. In this
paper we show how we can make polynomial solvers based on the action matrix
method ... | [
{
"created": "Mon, 12 Mar 2018 16:36:13 GMT",
"version": "v1"
}
] | 2018-03-13 | [
[
"Larsson",
"Viktor",
""
],
[
"Oskarsson",
"Magnus",
""
],
[
"Åström",
"Kalle",
""
],
[
"Wallis",
"Alge",
""
],
[
"Kukelova",
"Zuzana",
""
],
[
"Pajdla",
"Tomas",
""
]
] | Many computer vision applications require robust estimation of the underlying geometry, in terms of camera motion and 3D structure of the scene. These robust methods often rely on running minimal solvers in a RANSAC framework. In this paper we show how we can make polynomial solvers based on the action matrix method fa... |
2012.04456 | Yingfan Wang | Yingfan Wang, Haiyang Huang, Cynthia Rudin, Yaron Shaposhnik | Understanding How Dimension Reduction Tools Work: An Empirical Approach
to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization | null | Journal of Machine Learning Research 22(2021) 1-73 | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by-sa/4.0/ | Dimension reduction (DR) techniques such as t-SNE, UMAP, and TriMAP have
demonstrated impressive visualization performance on many real world datasets.
One tension that has always faced these methods is the trade-off between
preservation of global structure and preservation of local structure: these
methods can eithe... | [
{
"created": "Tue, 8 Dec 2020 14:50:45 GMT",
"version": "v1"
},
{
"created": "Tue, 24 Aug 2021 14:06:36 GMT",
"version": "v2"
}
] | 2021-08-27 | [
[
"Wang",
"Yingfan",
""
],
[
"Huang",
"Haiyang",
""
],
[
"Rudin",
"Cynthia",
""
],
[
"Shaposhnik",
"Yaron",
""
]
] | Dimension reduction (DR) techniques such as t-SNE, UMAP, and TriMAP have demonstrated impressive visualization performance on many real world datasets. One tension that has always faced these methods is the trade-off between preservation of global structure and preservation of local structure: these methods can either ... |
2308.06621 | Richard Sattel | Richard Sattel, Christoph Spang, Carsten Heinz and Andreas Koch | PQC-HA: A Framework for Prototyping and In-Hardware Evaluation of
Post-Quantum Cryptography Hardware Accelerators | 20 pages, 6 figures, Open Source Software available | null | null | null | cs.CR cs.AR | http://creativecommons.org/licenses/by-sa/4.0/ | In the third round of the NIST Post-Quantum Cryptography standardization
project, the focus is on optimizing software and hardware implementations of
candidate schemes. The winning schemes are CRYSTALS Kyber and CRYSTALS
Dilithium, which serve as a Key Encapsulation Mechanism (KEM) and Digital
Signature Algorithm (DS... | [
{
"created": "Sat, 12 Aug 2023 17:35:39 GMT",
"version": "v1"
}
] | 2023-08-15 | [
[
"Sattel",
"Richard",
""
],
[
"Spang",
"Christoph",
""
],
[
"Heinz",
"Carsten",
""
],
[
"Koch",
"Andreas",
""
]
] | In the third round of the NIST Post-Quantum Cryptography standardization project, the focus is on optimizing software and hardware implementations of candidate schemes. The winning schemes are CRYSTALS Kyber and CRYSTALS Dilithium, which serve as a Key Encapsulation Mechanism (KEM) and Digital Signature Algorithm (DSA)... |
2103.16597 | Pratik Mazumder | Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri | Rectification-based Knowledge Retention for Continual Learning | Accepted in CVPR 2021 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning models suffer from catastrophic forgetting when trained in an
incremental learning setting. In this work, we propose a novel approach to
address the task incremental learning problem, which involves training a model
on new tasks that arrive in an incremental manner. The task incremental
learning problem... | [
{
"created": "Tue, 30 Mar 2021 18:11:30 GMT",
"version": "v1"
}
] | 2021-04-01 | [
[
"Singh",
"Pravendra",
""
],
[
"Mazumder",
"Pratik",
""
],
[
"Rai",
"Piyush",
""
],
[
"Namboodiri",
"Vinay P.",
""
]
] | Deep learning models suffer from catastrophic forgetting when trained in an incremental learning setting. In this work, we propose a novel approach to address the task incremental learning problem, which involves training a model on new tasks that arrive in an incremental manner. The task incremental learning problem b... |
1608.03960 | Martin Kleppmann | Martin Kleppmann, Alastair R. Beresford | A Conflict-Free Replicated JSON Datatype | null | null | 10.1109/TPDS.2017.2697382 | null | cs.DC cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many applications model their data in a general-purpose storage format such
as JSON. This data structure is modified by the application as a result of user
input. Such modifications are well understood if performed sequentially on a
single copy of the data, but if the data is replicated and modified
concurrently on m... | [
{
"created": "Sat, 13 Aug 2016 09:48:35 GMT",
"version": "v1"
},
{
"created": "Wed, 22 Mar 2017 10:32:25 GMT",
"version": "v2"
},
{
"created": "Tue, 15 Aug 2017 15:00:24 GMT",
"version": "v3"
}
] | 2017-08-16 | [
[
"Kleppmann",
"Martin",
""
],
[
"Beresford",
"Alastair R.",
""
]
] | Many applications model their data in a general-purpose storage format such as JSON. This data structure is modified by the application as a result of user input. Such modifications are well understood if performed sequentially on a single copy of the data, but if the data is replicated and modified concurrently on mul... |
2106.03269 | Rahul Aralikatte | Rahul Aralikatte, Miryam de Lhoneux, Anoop Kunchukuttan, Anders
S{\o}gaard | Itihasa: A large-scale corpus for Sanskrit to English translation | Fixed typo | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work introduces Itihasa, a large-scale translation dataset containing
93,000 pairs of Sanskrit shlokas and their English translations. The shlokas
are extracted from two Indian epics viz., The Ramayana and The Mahabharata. We
first describe the motivation behind the curation of such a dataset and follow
up with ... | [
{
"created": "Sun, 6 Jun 2021 22:58:13 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Jun 2021 16:48:17 GMT",
"version": "v2"
},
{
"created": "Tue, 5 Oct 2021 20:13:42 GMT",
"version": "v3"
}
] | 2021-10-07 | [
[
"Aralikatte",
"Rahul",
""
],
[
"de Lhoneux",
"Miryam",
""
],
[
"Kunchukuttan",
"Anoop",
""
],
[
"Søgaard",
"Anders",
""
]
] | This work introduces Itihasa, a large-scale translation dataset containing 93,000 pairs of Sanskrit shlokas and their English translations. The shlokas are extracted from two Indian epics viz., The Ramayana and The Mahabharata. We first describe the motivation behind the curation of such a dataset and follow up with em... |
2401.10279 | Sean Tucker | Sean Tucker | A systematic review of geospatial location embedding approaches in large
language models: A path to spatial AI systems | 20 pages, 11 figures, 3 appendices | null | null | null | cs.IR cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | Geospatial Location Embedding (GLE) helps a Large Language Model (LLM)
assimilate and analyze spatial data. GLE emergence in Geospatial Artificial
Intelligence (GeoAI) is precipitated by the need for deeper geospatial
awareness in our complex contemporary spaces and the success of LLMs in
extracting deep meaning in G... | [
{
"created": "Fri, 12 Jan 2024 12:43:33 GMT",
"version": "v1"
}
] | 2024-01-22 | [
[
"Tucker",
"Sean",
""
]
] | Geospatial Location Embedding (GLE) helps a Large Language Model (LLM) assimilate and analyze spatial data. GLE emergence in Geospatial Artificial Intelligence (GeoAI) is precipitated by the need for deeper geospatial awareness in our complex contemporary spaces and the success of LLMs in extracting deep meaning in Gen... |
1010.0219 | Anthony Labarre | Anthony Labarre and Josef Cibulka | Polynomial-time sortable stacks of burnt pancakes | Accepted pending minor revision | Theor. Comput. Sci. 412(8-10): 695-702 (2011) | 10.1016/j.tcs.2010.11.004 | null | cs.DS math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pancake flipping, a famous open problem in computer science, can be
formalised as the problem of sorting a permutation of positive integers using
as few prefix reversals as possible. In that context, a prefix reversal of
length k reverses the order of the first k elements of the permutation. The
burnt variant of panc... | [
{
"created": "Fri, 1 Oct 2010 17:22:31 GMT",
"version": "v1"
}
] | 2011-02-07 | [
[
"Labarre",
"Anthony",
""
],
[
"Cibulka",
"Josef",
""
]
] | Pancake flipping, a famous open problem in computer science, can be formalised as the problem of sorting a permutation of positive integers using as few prefix reversals as possible. In that context, a prefix reversal of length k reverses the order of the first k elements of the permutation. The burnt variant of pancak... |
2311.01912 | Mahdi Bagheri | Mahdi Bagheri, Farhad Piri, Hadi Digale, Saem Sattarzadeh, Mohammad
Reza Mohammadi | End-to-End assessment of AR-assisted neurosurgery systems | 14 pages, 8figures | null | null | null | cs.HC cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Augmented Reality (AR) has emerged as a significant advancement in surgical
procedures, offering a solution to the challenges posed by traditional
neuronavigation methods. These conventional techniques often necessitate
surgeons to split their focus between the surgical site and a separate monitor
that displays guidi... | [
{
"created": "Fri, 3 Nov 2023 13:41:44 GMT",
"version": "v1"
}
] | 2023-11-06 | [
[
"Bagheri",
"Mahdi",
""
],
[
"Piri",
"Farhad",
""
],
[
"Digale",
"Hadi",
""
],
[
"Sattarzadeh",
"Saem",
""
],
[
"Mohammadi",
"Mohammad Reza",
""
]
] | Augmented Reality (AR) has emerged as a significant advancement in surgical procedures, offering a solution to the challenges posed by traditional neuronavigation methods. These conventional techniques often necessitate surgeons to split their focus between the surgical site and a separate monitor that displays guiding... |
2106.10760 | Francesco D'Angelo | Francesco D'Angelo, Vincent Fortuin, Florian Wenzel | On Stein Variational Neural Network Ensembles | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Ensembles of deep neural networks have achieved great success recently, but
they do not offer a proper Bayesian justification. Moreover, while they allow
for averaging of predictions over several hypotheses, they do not provide any
guarantees for their diversity, leading to redundant solutions in function
space. In c... | [
{
"created": "Sun, 20 Jun 2021 21:52:46 GMT",
"version": "v1"
},
{
"created": "Tue, 22 Jun 2021 07:53:17 GMT",
"version": "v2"
}
] | 2021-06-23 | [
[
"D'Angelo",
"Francesco",
""
],
[
"Fortuin",
"Vincent",
""
],
[
"Wenzel",
"Florian",
""
]
] | Ensembles of deep neural networks have achieved great success recently, but they do not offer a proper Bayesian justification. Moreover, while they allow for averaging of predictions over several hypotheses, they do not provide any guarantees for their diversity, leading to redundant solutions in function space. In con... |
2305.06518 | Yinbin Ma | Yinbin Ma, Daniela Tuninetti | Demand Privacy in Hotplug Caching Systems | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Coded caching, introduced by Maddah-Ali and Niesen (MAN), is a model where a
server broadcasts multicast packets to users with a local cache that is
leveraged so as to reduce the peak network communication load. The original MAN
model does not consider missing demands (i.e., some users may not request a
file) or priv... | [
{
"created": "Thu, 11 May 2023 01:42:37 GMT",
"version": "v1"
}
] | 2023-05-12 | [
[
"Ma",
"Yinbin",
""
],
[
"Tuninetti",
"Daniela",
""
]
] | Coded caching, introduced by Maddah-Ali and Niesen (MAN), is a model where a server broadcasts multicast packets to users with a local cache that is leveraged so as to reduce the peak network communication load. The original MAN model does not consider missing demands (i.e., some users may not request a file) or privac... |
2204.08563 | Kang Liao | Kang Liao, Xiangyu Xu, Chunyu Lin, Wenqi Ren, Yunchao Wei, Yao Zhao | Cylin-Painting: Seamless {360\textdegree} Panoramic Image Outpainting
and Beyond | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Image outpainting gains increasing attention since it can generate the
complete scene from a partial view, providing a valuable solution to construct
{360\textdegree} panoramic images. As image outpainting suffers from the
intrinsic issue of unidirectional completion flow, previous methods convert the
original proble... | [
{
"created": "Mon, 18 Apr 2022 21:18:49 GMT",
"version": "v1"
},
{
"created": "Sat, 9 Dec 2023 11:47:36 GMT",
"version": "v2"
}
] | 2023-12-12 | [
[
"Liao",
"Kang",
""
],
[
"Xu",
"Xiangyu",
""
],
[
"Lin",
"Chunyu",
""
],
[
"Ren",
"Wenqi",
""
],
[
"Wei",
"Yunchao",
""
],
[
"Zhao",
"Yao",
""
]
] | Image outpainting gains increasing attention since it can generate the complete scene from a partial view, providing a valuable solution to construct {360\textdegree} panoramic images. As image outpainting suffers from the intrinsic issue of unidirectional completion flow, previous methods convert the original problem ... |
2406.06918 | Dewu Zheng | Dewu Zheng, Yanlin Wang, Ensheng Shi, Ruikai Zhang, Yuchi Ma, Hongyu
Zhang, Zibin Zheng | Towards more realistic evaluation of LLM-based code generation: an
experimental study and beyond | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To evaluate the code generation capabilities of Large Language Models (LLMs)
in complex real-world software development scenarios, many evaluation
approaches have been developed. They typically leverage contextual code from
the latest version of a project to facilitate LLMs in accurately generating the
desired functi... | [
{
"created": "Tue, 11 Jun 2024 03:19:18 GMT",
"version": "v1"
}
] | 2024-06-12 | [
[
"Zheng",
"Dewu",
""
],
[
"Wang",
"Yanlin",
""
],
[
"Shi",
"Ensheng",
""
],
[
"Zhang",
"Ruikai",
""
],
[
"Ma",
"Yuchi",
""
],
[
"Zhang",
"Hongyu",
""
],
[
"Zheng",
"Zibin",
""
]
] | To evaluate the code generation capabilities of Large Language Models (LLMs) in complex real-world software development scenarios, many evaluation approaches have been developed. They typically leverage contextual code from the latest version of a project to facilitate LLMs in accurately generating the desired function... |
1411.6836 | Mircea Cimpoi | Mircea Cimpoi, Subhransu Maji, Andrea Vedaldi | Deep convolutional filter banks for texture recognition and segmentation | Accepted to CVPR15 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Research in texture recognition often concentrates on the problem of material
recognition in uncluttered conditions, an assumption rarely met by
applications. In this work we conduct a first study of material and describable
texture at- tributes recognition in clutter, using a new dataset derived from
the OpenSurface... | [
{
"created": "Tue, 25 Nov 2014 12:36:23 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Jul 2015 18:25:43 GMT",
"version": "v2"
}
] | 2015-07-10 | [
[
"Cimpoi",
"Mircea",
""
],
[
"Maji",
"Subhransu",
""
],
[
"Vedaldi",
"Andrea",
""
]
] | Research in texture recognition often concentrates on the problem of material recognition in uncluttered conditions, an assumption rarely met by applications. In this work we conduct a first study of material and describable texture at- tributes recognition in clutter, using a new dataset derived from the OpenSurface t... |
1104.3219 | Yi-Ling Chen | De-Nian Yang (Academia Sinica), Yi-Ling Chen (National Taiwan
University), Wang-Chien Lee (The Penn State University), Ming-Syan Chen
(National Taiwan University) | On Social-Temporal Group Query with Acquaintance Constraint | VLDB2011 | Proceedings of the VLDB Endowment (PVLDB), Vol. 4, No. 6, pp.
397-408 (2011) | null | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Three essential criteria are important for activity planning, including: (1)
finding a group of attendees familiar with the initiator, (2) ensuring each
attendee in the group to have tight social relations with most of the members
in the group, and (3) selecting an activity period available for all attendees.
Therefo... | [
{
"created": "Sat, 16 Apr 2011 08:55:24 GMT",
"version": "v1"
}
] | 2011-04-19 | [
[
"Yang",
"De-Nian",
"",
"Academia Sinica"
],
[
"Chen",
"Yi-Ling",
"",
"National Taiwan\n University"
],
[
"Lee",
"Wang-Chien",
"",
"The Penn State University"
],
[
"Chen",
"Ming-Syan",
"",
"National Taiwan University"
]
] | Three essential criteria are important for activity planning, including: (1) finding a group of attendees familiar with the initiator, (2) ensuring each attendee in the group to have tight social relations with most of the members in the group, and (3) selecting an activity period available for all attendees. Therefore... |
2109.01688 | Michael Correll | Gerrit J. Rijken, Rene Cutura, Frank Heyen, Michael Sedlmair, Michael
Correll, Jason Dykes, Noeska Smit | Illegible Semantics: Exploring the Design Space of Metal Logos | null | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The logos of metal bands can be by turns gaudy, uncouth, or nearly illegible.
Yet, these logos work: they communicate sophisticated notions of genre and
emotional affect. In this paper we use the design considerations of metal logos
to explore the space of "illegible semantics": the ways that text can
communicate inf... | [
{
"created": "Fri, 3 Sep 2021 18:02:17 GMT",
"version": "v1"
}
] | 2021-09-07 | [
[
"Rijken",
"Gerrit J.",
""
],
[
"Cutura",
"Rene",
""
],
[
"Heyen",
"Frank",
""
],
[
"Sedlmair",
"Michael",
""
],
[
"Correll",
"Michael",
""
],
[
"Dykes",
"Jason",
""
],
[
"Smit",
"Noeska",
""
]
] | The logos of metal bands can be by turns gaudy, uncouth, or nearly illegible. Yet, these logos work: they communicate sophisticated notions of genre and emotional affect. In this paper we use the design considerations of metal logos to explore the space of "illegible semantics": the ways that text can communicate infor... |
2408.02680 | David Gamez | Dionis Barcari, David Gamez and Aliya Grig | Recording First-person Experiences to Build a New Type of Foundation
Model | 5 pages, 5 figures, 3 tables. arXiv admin note: substantial text
overlap with arXiv:2408.00030 | null | null | null | cs.AI cs.HC cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Foundation models have had a big impact in recent years and billions of
dollars are being invested in them in the current AI boom. The more popular
ones, such as Chat-GPT, are trained on large amounts of Internet data. However,
it is becoming apparent that this data is likely to be exhausted soon, and
technology comp... | [
{
"created": "Wed, 31 Jul 2024 11:51:26 GMT",
"version": "v1"
}
] | 2024-08-07 | [
[
"Barcari",
"Dionis",
""
],
[
"Gamez",
"David",
""
],
[
"Grig",
"Aliya",
""
]
] | Foundation models have had a big impact in recent years and billions of dollars are being invested in them in the current AI boom. The more popular ones, such as Chat-GPT, are trained on large amounts of Internet data. However, it is becoming apparent that this data is likely to be exhausted soon, and technology compan... |
1807.05365 | Bichuan Guo | Bichuan Guo, Yuxing Han, Jiangtao Wen | Fast Block Structure Determination in AV1-based Multiple Resolutions
Video Encoding | published in IEEE International Conference on Multimedia and Expo,
2018 | null | 10.1109/ICME.2018.8486492 | null | cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The widely used adaptive HTTP streaming requires an efficient algorithm to
encode the same video to different resolutions. In this paper, we propose a
fast block structure determination algorithm based on the AV1 codec that
accelerates high resolution encoding, which is the bottle-neck of multiple
resolutions encodin... | [
{
"created": "Sat, 14 Jul 2018 09:29:57 GMT",
"version": "v1"
}
] | 2018-10-17 | [
[
"Guo",
"Bichuan",
""
],
[
"Han",
"Yuxing",
""
],
[
"Wen",
"Jiangtao",
""
]
] | The widely used adaptive HTTP streaming requires an efficient algorithm to encode the same video to different resolutions. In this paper, we propose a fast block structure determination algorithm based on the AV1 codec that accelerates high resolution encoding, which is the bottle-neck of multiple resolutions encoding.... |
2307.05219 | David Rapado-Rincon | David Rapado-Rincon, Eldert J. van Henten, Gert Kootstra | MinkSORT: A 3D deep feature extractor using sparse convolutions to
improve 3D multi-object tracking in greenhouse tomato plants | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | The agro-food industry is turning to robots to address the challenge of
labour shortage. However, agro-food environments pose difficulties for robots
due to high variation and occlusions. In the presence of these challenges,
accurate world models, with information about object location, shape, and
properties, are cru... | [
{
"created": "Tue, 11 Jul 2023 12:44:06 GMT",
"version": "v1"
}
] | 2023-07-12 | [
[
"Rapado-Rincon",
"David",
""
],
[
"van Henten",
"Eldert J.",
""
],
[
"Kootstra",
"Gert",
""
]
] | The agro-food industry is turning to robots to address the challenge of labour shortage. However, agro-food environments pose difficulties for robots due to high variation and occlusions. In the presence of these challenges, accurate world models, with information about object location, shape, and properties, are cruci... |
1803.05123 | Derui Derek Wang | Derek Wang, Chaoran Li, Sheng Wen, Surya Nepal, Yang Xiang | Defending against Adversarial Attack towards Deep Neural Networks via
Collaborative Multi-task Training | 12 pages, 7 figures | null | null | null | cs.LG cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep neural networks (DNNs) are known to be vulnerable to adversarial
examples which contain human-imperceptible perturbations. A series of defending
methods, either proactive defence or reactive defence, have been proposed in
the recent years. However, most of the methods can only handle specific
attacks. For exampl... | [
{
"created": "Wed, 14 Mar 2018 03:41:18 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Jul 2018 15:41:43 GMT",
"version": "v2"
},
{
"created": "Wed, 5 Dec 2018 03:31:25 GMT",
"version": "v3"
},
{
"created": "Fri, 24 Jul 2020 06:01:08 GMT",
"version": "v4"
}
] | 2020-07-27 | [
[
"Wang",
"Derek",
""
],
[
"Li",
"Chaoran",
""
],
[
"Wen",
"Sheng",
""
],
[
"Nepal",
"Surya",
""
],
[
"Xiang",
"Yang",
""
]
] | Deep neural networks (DNNs) are known to be vulnerable to adversarial examples which contain human-imperceptible perturbations. A series of defending methods, either proactive defence or reactive defence, have been proposed in the recent years. However, most of the methods can only handle specific attacks. For example,... |
2305.19512 | Yiwei Lyu | Yiwei Lyu, Tiange Luo, Jiacheng Shi, Todd C. Hollon, Honglak Lee | Fine-grained Text Style Transfer with Diffusion-Based Language Models | Accepted at Repl4NLP workshop at ACL 2023 | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Diffusion probabilistic models have shown great success in generating
high-quality images controllably, and researchers have tried to utilize this
controllability into text generation domain. Previous works on diffusion-based
language models have shown that they can be trained without external knowledge
(such as pre-... | [
{
"created": "Wed, 31 May 2023 02:51:26 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Jun 2023 02:13:16 GMT",
"version": "v2"
}
] | 2023-06-13 | [
[
"Lyu",
"Yiwei",
""
],
[
"Luo",
"Tiange",
""
],
[
"Shi",
"Jiacheng",
""
],
[
"Hollon",
"Todd C.",
""
],
[
"Lee",
"Honglak",
""
]
] | Diffusion probabilistic models have shown great success in generating high-quality images controllably, and researchers have tried to utilize this controllability into text generation domain. Previous works on diffusion-based language models have shown that they can be trained without external knowledge (such as pre-tr... |
2109.14126 | Andrew Berns | Andrew Berns | Network Scaffolding for Efficient Stabilization of the Chord Overlay
Network | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Overlay networks, where nodes communicate with neighbors over logical links
consisting of zero or more physical links, have become an important part of
modern networking. From data centers to IoT devices, overlay networks are used
to organize a diverse set of processes for efficient operations like searching
and rout... | [
{
"created": "Wed, 29 Sep 2021 01:14:57 GMT",
"version": "v1"
}
] | 2021-09-30 | [
[
"Berns",
"Andrew",
""
]
] | Overlay networks, where nodes communicate with neighbors over logical links consisting of zero or more physical links, have become an important part of modern networking. From data centers to IoT devices, overlay networks are used to organize a diverse set of processes for efficient operations like searching and routin... |
2403.12223 | Chinmaya Mishra | Chinmaya Mishra, Anuj Nandanwar and Sashikala Mishra | HRI in Indian Education: Challenges Opportunities | Presented at the Designing an Intro to HRI Course Workshop at HRI
2024 (arXiv:2403.05588) | null | null | HRI101/2024/9 | cs.RO cs.HC | http://creativecommons.org/licenses/by/4.0/ | With the recent advancements in the field of robotics and the increased focus
on having general-purpose robots widely available to the general public, it has
become increasingly necessary to pursue research into Human-robot interaction
(HRI). While there have been a lot of works discussing frameworks for teaching
HRI... | [
{
"created": "Mon, 18 Mar 2024 20:11:02 GMT",
"version": "v1"
}
] | 2024-03-20 | [
[
"Mishra",
"Chinmaya",
""
],
[
"Nandanwar",
"Anuj",
""
],
[
"Mishra",
"Sashikala",
""
]
] | With the recent advancements in the field of robotics and the increased focus on having general-purpose robots widely available to the general public, it has become increasingly necessary to pursue research into Human-robot interaction (HRI). While there have been a lot of works discussing frameworks for teaching HRI i... |
2407.09493 | Warmhold Jan Thomas Mollema | W.J.T. Mollema | Social AI and The Equation of Wittgenstein's Language User With
Calvino's Literature Machine | null | International Review of Literary Studies, 6, no.1 (2024): 39-55 | 10.53057/irls/2024.6.1.4 | null | cs.HC cs.AI | http://creativecommons.org/licenses/by/4.0/ | Is it sensical to ascribe psychological predicates to AI systems like
chatbots based on large language models (LLMs)? People have intuitively started
ascribing emotions or consciousness to social AI ('affective artificial
agents'), with consequences that range from love to suicide. The philosophical
question of wheth... | [
{
"created": "Thu, 23 May 2024 09:51:44 GMT",
"version": "v1"
}
] | 2024-07-16 | [
[
"Mollema",
"W. J. T.",
""
]
] | Is it sensical to ascribe psychological predicates to AI systems like chatbots based on large language models (LLMs)? People have intuitively started ascribing emotions or consciousness to social AI ('affective artificial agents'), with consequences that range from love to suicide. The philosophical question of whether... |
1006.0475 | Alexey Chernov | Alexey Chernov and Vladimir Vovk | Prediction with Advice of Unknown Number of Experts | 22 pages; draft version | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the framework of prediction with expert advice, we consider a recently
introduced kind of regret bounds: the bounds that depend on the effective
instead of nominal number of experts. In contrast to the NormalHedge bound,
which mainly depends on the effective number of experts and also weakly depends
on the nominal... | [
{
"created": "Wed, 2 Jun 2010 19:41:27 GMT",
"version": "v1"
}
] | 2015-03-17 | [
[
"Chernov",
"Alexey",
""
],
[
"Vovk",
"Vladimir",
""
]
] | In the framework of prediction with expert advice, we consider a recently introduced kind of regret bounds: the bounds that depend on the effective instead of nominal number of experts. In contrast to the NormalHedge bound, which mainly depends on the effective number of experts and also weakly depends on the nominal o... |
2003.00476 | Jumabek Alikhanov | Azizjon Meliboev, Jumabek Alikhanov, Wooseong Kim | 1D CNN Based Network Intrusion Detection with Normalization on
Imbalanced Data | Need more polishing | IEEE ICAIIC 2020 | null | null | cs.CR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Intrusion detection system (IDS) plays an essential role in computer networks
protecting computing resources and data from outside attacks. Recent IDS faces
challenges improving flexibility and efficiency of the IDS for unexpected and
unpredictable attacks. Deep neural network (DNN) is considered popularly for
comple... | [
{
"created": "Sun, 1 Mar 2020 12:23:46 GMT",
"version": "v1"
},
{
"created": "Wed, 4 Mar 2020 09:44:56 GMT",
"version": "v2"
}
] | 2020-03-05 | [
[
"Meliboev",
"Azizjon",
""
],
[
"Alikhanov",
"Jumabek",
""
],
[
"Kim",
"Wooseong",
""
]
] | Intrusion detection system (IDS) plays an essential role in computer networks protecting computing resources and data from outside attacks. Recent IDS faces challenges improving flexibility and efficiency of the IDS for unexpected and unpredictable attacks. Deep neural network (DNN) is considered popularly for complex ... |
2211.01122 | Feihu Huang | Feihu Huang | Fast Adaptive Federated Bilevel Optimization | 49 pages. arXiv admin note: text overlap with arXiv:2106.11396 | null | null | null | cs.LG math.OC | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Bilevel optimization is a popular hierarchical model in machine learning, and
has been widely applied to many machine learning tasks such as meta learning,
hyperparameter learning and policy optimization. Although many bilevel
optimization algorithms recently have been developed, few adaptive algorithm
focuses on the... | [
{
"created": "Wed, 2 Nov 2022 13:55:47 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Nov 2022 15:12:55 GMT",
"version": "v2"
},
{
"created": "Mon, 14 Nov 2022 12:27:06 GMT",
"version": "v3"
}
] | 2022-11-15 | [
[
"Huang",
"Feihu",
""
]
] | Bilevel optimization is a popular hierarchical model in machine learning, and has been widely applied to many machine learning tasks such as meta learning, hyperparameter learning and policy optimization. Although many bilevel optimization algorithms recently have been developed, few adaptive algorithm focuses on the b... |
2203.13947 | Bingsheng Yao | Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang
Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Bao Hoang,
Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark
Warschauer | Fantastic Questions and Where to Find Them: FairytaleQA -- An Authentic
Dataset for Narrative Comprehension | Accepted to ACL 2022 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Question answering (QA) is a fundamental means to facilitate assessment and
training of narrative comprehension skills for both machines and young
children, yet there is scarcity of high-quality QA datasets carefully designed
to serve this purpose. In particular, existing datasets rarely distinguish
fine-grained read... | [
{
"created": "Sat, 26 Mar 2022 00:20:05 GMT",
"version": "v1"
}
] | 2022-03-29 | [
[
"Xu",
"Ying",
""
],
[
"Wang",
"Dakuo",
""
],
[
"Yu",
"Mo",
""
],
[
"Ritchie",
"Daniel",
""
],
[
"Yao",
"Bingsheng",
""
],
[
"Wu",
"Tongshuang",
""
],
[
"Zhang",
"Zheng",
""
],
[
"Li",
"Toby Jia-... | Question answering (QA) is a fundamental means to facilitate assessment and training of narrative comprehension skills for both machines and young children, yet there is scarcity of high-quality QA datasets carefully designed to serve this purpose. In particular, existing datasets rarely distinguish fine-grained readin... |
1804.11191 | Zhuwei Qin | Zhuwei Qin, Fuxun Yu, Chenchen Liu and Xiang Chen | How convolutional neural network see the world - A survey of
convolutional neural network visualization methods | 32 pages, 21 figures. Mathematical Foundations of Computing | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nowadays, the Convolutional Neural Networks (CNNs) have achieved impressive
performance on many computer vision related tasks, such as object detection,
image recognition, image retrieval, etc. These achievements benefit from the
CNNs outstanding capability to learn the input features with deep layers of
neuron struc... | [
{
"created": "Mon, 30 Apr 2018 13:47:11 GMT",
"version": "v1"
},
{
"created": "Thu, 31 May 2018 20:12:43 GMT",
"version": "v2"
}
] | 2018-06-04 | [
[
"Qin",
"Zhuwei",
""
],
[
"Yu",
"Fuxun",
""
],
[
"Liu",
"Chenchen",
""
],
[
"Chen",
"Xiang",
""
]
] | Nowadays, the Convolutional Neural Networks (CNNs) have achieved impressive performance on many computer vision related tasks, such as object detection, image recognition, image retrieval, etc. These achievements benefit from the CNNs outstanding capability to learn the input features with deep layers of neuron structu... |
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