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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1811.03850 | Erwan Le Merrer | Corentin Hardy, Erwan Le Merrer, Bruno Sericola | MD-GAN: Multi-Discriminator Generative Adversarial Networks for
Distributed Datasets | To be published in IPDPS 2019: the 33rd IEEE International Parallel &
Distributed Processing Symposium | IEEE International Parallel and Distributed Processing Symposium
(IPDPS) 2019 | 10.1109/IPDPS.2019.00095 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A recent technical breakthrough in the domain of machine learning is the
discovery and the multiple applications of Generative Adversarial Networks
(GANs). Those generative models are computationally demanding, as a GAN is
composed of two deep neural networks, and because it trains on large datasets.
A GAN is general... | [
{
"created": "Fri, 9 Nov 2018 10:24:35 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Feb 2019 15:41:49 GMT",
"version": "v2"
}
] | 2021-04-14 | [
[
"Hardy",
"Corentin",
""
],
[
"Merrer",
"Erwan Le",
""
],
[
"Sericola",
"Bruno",
""
]
] | A recent technical breakthrough in the domain of machine learning is the discovery and the multiple applications of Generative Adversarial Networks (GANs). Those generative models are computationally demanding, as a GAN is composed of two deep neural networks, and because it trains on large datasets. A GAN is generally... |
2407.14129 | Matthias Karlbauer | Matthias Karlbauer, Danielle C. Maddix, Abdul Fatir Ansari, Boran Han,
Gaurav Gupta, Yuyang Wang, Andrew Stuart, Michael W. Mahoney | Comparing and Contrasting Deep Learning Weather Prediction Backbones on
Navier-Stokes and Atmospheric Dynamics | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Remarkable progress in the development of Deep Learning Weather Prediction
(DLWP) models positions them to become competitive with traditional numerical
weather prediction (NWP) models. Indeed, a wide number of DLWP architectures --
based on various backbones, including U-Net, Transformer, Graph Neural Network
(GNN),... | [
{
"created": "Fri, 19 Jul 2024 08:59:00 GMT",
"version": "v1"
}
] | 2024-07-22 | [
[
"Karlbauer",
"Matthias",
""
],
[
"Maddix",
"Danielle C.",
""
],
[
"Ansari",
"Abdul Fatir",
""
],
[
"Han",
"Boran",
""
],
[
"Gupta",
"Gaurav",
""
],
[
"Wang",
"Yuyang",
""
],
[
"Stuart",
"Andrew",
""
],
... | Remarkable progress in the development of Deep Learning Weather Prediction (DLWP) models positions them to become competitive with traditional numerical weather prediction (NWP) models. Indeed, a wide number of DLWP architectures -- based on various backbones, including U-Net, Transformer, Graph Neural Network (GNN), a... |
1809.06201 | Matthew Guzdial | Zijin Luo, Matthew Guzdial, Nicholas Liao and Mark Riedl | Player Experience Extraction from Gameplay Video | 8 pages, 6 figures, AIIDE 2018 | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ability to extract the sequence of game events for a given player's
play-through has traditionally required access to the game's engine or source
code. This serves as a barrier to researchers, developers, and hobbyists who
might otherwise benefit from these game logs. In this paper we present two
approaches to de... | [
{
"created": "Thu, 6 Sep 2018 22:00:46 GMT",
"version": "v1"
}
] | 2018-09-18 | [
[
"Luo",
"Zijin",
""
],
[
"Guzdial",
"Matthew",
""
],
[
"Liao",
"Nicholas",
""
],
[
"Riedl",
"Mark",
""
]
] | The ability to extract the sequence of game events for a given player's play-through has traditionally required access to the game's engine or source code. This serves as a barrier to researchers, developers, and hobbyists who might otherwise benefit from these game logs. In this paper we present two approaches to deri... |
2212.06965 | Olga Graf | Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara | Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian
Physics-Informed Neural Networks | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Physics-Informed Neural Networks (PINNs) are gaining popularity as a method
for solving differential equations. While being more feasible in some contexts
than the classical numerical techniques, PINNs still lack credibility. A remedy
for that can be found in Uncertainty Quantification (UQ) which is just
beginning to... | [
{
"created": "Wed, 14 Dec 2022 01:15:26 GMT",
"version": "v1"
}
] | 2022-12-15 | [
[
"Graf",
"Olga",
""
],
[
"Flores",
"Pablo",
""
],
[
"Protopapas",
"Pavlos",
""
],
[
"Pichara",
"Karim",
""
]
] | Physics-Informed Neural Networks (PINNs) are gaining popularity as a method for solving differential equations. While being more feasible in some contexts than the classical numerical techniques, PINNs still lack credibility. A remedy for that can be found in Uncertainty Quantification (UQ) which is just beginning to e... |
1705.10942 | Manar Mohaisen Prof. | Manar Mohaisen, Saetbyeol Lee | Complex Quadrature Spatial Modulation | 11 pages, 3 tables, 11 figures. ETRI Journal, 2017 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a spatial modulation (SM) scheme referred to as
complex quadrature spatial modulation (CQSM). In contrast to quadrature spatial
modulation (QSM), CQSM transmits two complex signal constellation symbols on
the real and quadrature spatial dimensions at each channel use, increasing the
spectral... | [
{
"created": "Wed, 31 May 2017 05:03:59 GMT",
"version": "v1"
}
] | 2017-06-01 | [
[
"Mohaisen",
"Manar",
""
],
[
"Lee",
"Saetbyeol",
""
]
] | In this paper, we propose a spatial modulation (SM) scheme referred to as complex quadrature spatial modulation (CQSM). In contrast to quadrature spatial modulation (QSM), CQSM transmits two complex signal constellation symbols on the real and quadrature spatial dimensions at each channel use, increasing the spectral e... |
2402.12326 | Qisen Yang | Qisen Yang, Zekun Wang, Honghui Chen, Shenzhi Wang, Yifan Pu, Xin Gao,
Wenhao Huang, Shiji Song, Gao Huang | LLM Agents for Psychology: A Study on Gamified Assessments | null | null | null | null | cs.CL cs.CY cs.HC cs.LG cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Psychological measurement is essential for mental health, self-understanding,
and personal development. Traditional methods, such as self-report scales and
psychologist interviews, often face challenges with engagement and
accessibility. While game-based and LLM-based tools have been explored to
improve user interest... | [
{
"created": "Mon, 19 Feb 2024 18:00:30 GMT",
"version": "v1"
}
] | 2024-02-20 | [
[
"Yang",
"Qisen",
""
],
[
"Wang",
"Zekun",
""
],
[
"Chen",
"Honghui",
""
],
[
"Wang",
"Shenzhi",
""
],
[
"Pu",
"Yifan",
""
],
[
"Gao",
"Xin",
""
],
[
"Huang",
"Wenhao",
""
],
[
"Song",
"Shiji",
... | Psychological measurement is essential for mental health, self-understanding, and personal development. Traditional methods, such as self-report scales and psychologist interviews, often face challenges with engagement and accessibility. While game-based and LLM-based tools have been explored to improve user interest a... |
1405.1851 | Cynthia Selvi | P. Cynthia Selvi, A.R.Mohammed Shanavas | Output Privacy Protection With Pattern-Based Heuristic Algorithm | 12 pages | null | 10.5121/ijcsit.2014.6210 | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Privacy Preserving Data Mining(PPDM) is an ongoing research area aimed at
bridging the gap between the collaborative data mining and data confidentiality
There are many different approaches which have been adopted for PPDM, of them
the rule hiding approach is used in this article. This approach ensures output
privacy... | [
{
"created": "Thu, 8 May 2014 09:26:52 GMT",
"version": "v1"
}
] | 2014-05-09 | [
[
"Selvi",
"P. Cynthia",
""
],
[
"Shanavas",
"A. R. Mohammed",
""
]
] | Privacy Preserving Data Mining(PPDM) is an ongoing research area aimed at bridging the gap between the collaborative data mining and data confidentiality There are many different approaches which have been adopted for PPDM, of them the rule hiding approach is used in this article. This approach ensures output privacy t... |
cs/0304019 | David N. Levin | David N. Levin | Blind Normalization of Speech From Different Channels | 25 pages, 7 figures | null | 10.1121/1.1755235 | null | cs.CL | null | We show how to construct a channel-independent representation of speech that
has propagated through a noisy reverberant channel. This is done by blindly
rescaling the cepstral time series by a non-linear function, with the form of
this scale function being determined by previously encountered cepstra from
that channe... | [
{
"created": "Thu, 10 Apr 2003 22:25:01 GMT",
"version": "v1"
}
] | 2009-11-10 | [
[
"Levin",
"David N.",
""
]
] | We show how to construct a channel-independent representation of speech that has propagated through a noisy reverberant channel. This is done by blindly rescaling the cepstral time series by a non-linear function, with the form of this scale function being determined by previously encountered cepstra from that channel.... |
1308.2272 | Han-Lim Choi | Dae-Sung Jang, Han-Lim Choi, Ji-Eun Roh | Search Optimization for Minimum Load under Detection Performance
Constraints in Multifunction Radars | 11 pages, 13 figures, submitted to IEEE Transactions on Aerospace and
Electronic Systems | null | null | null | cs.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a solution procedure of search parameter optimization for
minimum load ensuring desired one-off and cumulative probabilities of detection
in a multifunction phased array radar. The key approach is to convert this
nonlinear optimization on four search parameters into a scalar optimization on
signal... | [
{
"created": "Sat, 10 Aug 2013 03:48:48 GMT",
"version": "v1"
}
] | 2013-08-13 | [
[
"Jang",
"Dae-Sung",
""
],
[
"Choi",
"Han-Lim",
""
],
[
"Roh",
"Ji-Eun",
""
]
] | This paper presents a solution procedure of search parameter optimization for minimum load ensuring desired one-off and cumulative probabilities of detection in a multifunction phased array radar. The key approach is to convert this nonlinear optimization on four search parameters into a scalar optimization on signal-t... |
1905.04035 | Valeriu Codreanu | Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III,
Damian Podareanu, Vikram Saletore, Alexander Sergeev, Don D. Smith II, Victor
Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei
Yang | Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI
Collective Performance during Tensor Accumulation for Parallelized Training
of Neural Machine Translation Models | 18 pages, 10 figures, accepted at the 2019 International
Supercomputing Conference | null | null | null | cs.LG cs.CL cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural machine translation - using neural networks to translate human
language - is an area of active research exploring new neuron types and network
topologies with the goal of dramatically improving machine translation
performance. Current state-of-the-art approaches, such as the multi-head
attention-based transfor... | [
{
"created": "Fri, 10 May 2019 09:44:35 GMT",
"version": "v1"
}
] | 2019-05-13 | [
[
"Cavdar",
"Derya",
""
],
[
"Codreanu",
"Valeriu",
""
],
[
"Karakus",
"Can",
""
],
[
"Lockman",
"John A.",
"III"
],
[
"Podareanu",
"Damian",
""
],
[
"Saletore",
"Vikram",
""
],
[
"Sergeev",
"Alexander",
""
... | Neural machine translation - using neural networks to translate human language - is an area of active research exploring new neuron types and network topologies with the goal of dramatically improving machine translation performance. Current state-of-the-art approaches, such as the multi-head attention-based transforme... |
2102.10322 | Xuechen Liu | Xuechen Liu and Md Sahidullah and Tomi Kinnunen | Learnable MFCCs for Speaker Verification | Accepted to ISCAS 2021 | null | null | null | cs.SD cs.LG eess.AS | http://creativecommons.org/licenses/by/4.0/ | We propose a learnable mel-frequency cepstral coefficient (MFCC) frontend
architecture for deep neural network (DNN) based automatic speaker
verification. Our architecture retains the simplicity and interpretability of
MFCC-based features while allowing the model to be adapted to data flexibly. In
practice, we formul... | [
{
"created": "Sat, 20 Feb 2021 12:16:35 GMT",
"version": "v1"
}
] | 2021-02-23 | [
[
"Liu",
"Xuechen",
""
],
[
"Sahidullah",
"Md",
""
],
[
"Kinnunen",
"Tomi",
""
]
] | We propose a learnable mel-frequency cepstral coefficient (MFCC) frontend architecture for deep neural network (DNN) based automatic speaker verification. Our architecture retains the simplicity and interpretability of MFCC-based features while allowing the model to be adapted to data flexibly. In practice, we formulat... |
2010.08663 | Shraddha Barke | Shraddha Barke, Hila Peleg, Nadia Polikarpova | Just-in-Time Learning for Bottom-Up Enumerative Synthesis | Accepted at OOPSLA 2020 | null | 10.1145/3428295 | null | cs.PL | http://creativecommons.org/licenses/by-sa/4.0/ | A key challenge in program synthesis is the astronomical size of the search
space the synthesizer has to explore. In response to this challenge, recent
work proposed to guide synthesis using learned probabilistic models. Obtaining
such a model, however, might be infeasible for a problem domain where no
high-quality t... | [
{
"created": "Fri, 16 Oct 2020 23:28:02 GMT",
"version": "v1"
}
] | 2020-10-20 | [
[
"Barke",
"Shraddha",
""
],
[
"Peleg",
"Hila",
""
],
[
"Polikarpova",
"Nadia",
""
]
] | A key challenge in program synthesis is the astronomical size of the search space the synthesizer has to explore. In response to this challenge, recent work proposed to guide synthesis using learned probabilistic models. Obtaining such a model, however, might be infeasible for a problem domain where no high-quality tra... |
2303.08349 | David Mount | Sunil Arya and Guilherme D. da Fonseca and David M. Mount | Economical Convex Coverings and Applications | Preliminary version appeared in Proc. 2023 Annual ACM-SIAM Symposium
on Discrete Algorithms (SODA), pp. 1834-1861, 2023
(https://doi.org/10.1137/1.9781611977554.ch70) | null | null | null | cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Coverings of convex bodies have emerged as a central component in the design
of efficient solutions to approximation problems involving convex bodies.
Intuitively, given a convex body $K$ and $\epsilon> 0$, a covering is a
collection of convex bodies whose union covers $K$ such that a constant factor
expansion of eac... | [
{
"created": "Wed, 15 Mar 2023 04:02:31 GMT",
"version": "v1"
}
] | 2023-03-16 | [
[
"Arya",
"Sunil",
""
],
[
"da Fonseca",
"Guilherme D.",
""
],
[
"Mount",
"David M.",
""
]
] | Coverings of convex bodies have emerged as a central component in the design of efficient solutions to approximation problems involving convex bodies. Intuitively, given a convex body $K$ and $\epsilon> 0$, a covering is a collection of convex bodies whose union covers $K$ such that a constant factor expansion of each ... |
2311.12323 | Sadia Kamal | Sadia Kamal, Brenner Little, Jade Gullic, Trevor Harms, Kristin
Olofsson, Arunkumar Bagavathi | Modeling Political Orientation of Social Media Posts: An Extended
Analysis | null | null | null | null | cs.SI cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Developing machine learning models to characterize political polarization on
online social media presents significant challenges. These challenges mainly
stem from various factors such as the lack of annotated data, presence of noise
in social media datasets, and the sheer volume of data. The common research
practice... | [
{
"created": "Tue, 21 Nov 2023 03:34:20 GMT",
"version": "v1"
}
] | 2023-11-22 | [
[
"Kamal",
"Sadia",
""
],
[
"Little",
"Brenner",
""
],
[
"Gullic",
"Jade",
""
],
[
"Harms",
"Trevor",
""
],
[
"Olofsson",
"Kristin",
""
],
[
"Bagavathi",
"Arunkumar",
""
]
] | Developing machine learning models to characterize political polarization on online social media presents significant challenges. These challenges mainly stem from various factors such as the lack of annotated data, presence of noise in social media datasets, and the sheer volume of data. The common research practice t... |
2108.09176 | Nariman Torkzaban | Nariman Torkzaban, John S. Baras | Controller Placement in SDN-enabled 5G Satellite-Terrestrial Networks | Accepted at IEEE Globecom 2021. arXiv admin note: substantial text
overlap with arXiv:2103.08735 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | SDN-enabled Integrated satellite-terrestrial networks (ISTNs), can provide
several advantages including global seamless coverage, high reliability, low
latency, etc. and can be a key enabler towards next generation networks. To
deal with the complexity of the control and management of the integrated
network, leveragi... | [
{
"created": "Fri, 20 Aug 2021 13:47:23 GMT",
"version": "v1"
}
] | 2021-08-23 | [
[
"Torkzaban",
"Nariman",
""
],
[
"Baras",
"John S.",
""
]
] | SDN-enabled Integrated satellite-terrestrial networks (ISTNs), can provide several advantages including global seamless coverage, high reliability, low latency, etc. and can be a key enabler towards next generation networks. To deal with the complexity of the control and management of the integrated network, leveraging... |
2206.02886 | Gang Liu | Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang | Graph Rationalization with Environment-based Augmentations | Accepted by KDD 2022 | null | 10.1145/3534678.3539347 | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Rationale is defined as a subset of input features that best explains or
supports the prediction by machine learning models. Rationale identification
has improved the generalizability and interpretability of neural networks on
vision and language data. In graph applications such as molecule and polymer
property predi... | [
{
"created": "Mon, 6 Jun 2022 20:23:30 GMT",
"version": "v1"
},
{
"created": "Mon, 26 Sep 2022 15:54:42 GMT",
"version": "v2"
}
] | 2022-09-27 | [
[
"Liu",
"Gang",
""
],
[
"Zhao",
"Tong",
""
],
[
"Xu",
"Jiaxin",
""
],
[
"Luo",
"Tengfei",
""
],
[
"Jiang",
"Meng",
""
]
] | Rationale is defined as a subset of input features that best explains or supports the prediction by machine learning models. Rationale identification has improved the generalizability and interpretability of neural networks on vision and language data. In graph applications such as molecule and polymer property predict... |
2302.12207 | Estelle Varloot | Rida Laraki and Estelle Varloot | Grading and Ranking Large number of candidates | null | null | null | null | cs.GT | http://creativecommons.org/licenses/by/4.0/ | It is common that a jury must grade a set of candidates in a cardinal scale
such as {1,2,3,4,5} or an ordinal scale such as {Great, Good, Average, Bad }.
When the number of candidates is very large such as hotels (BOOKING),
restaurants (GOOGLE), apartments (AIRBNB), drivers (UBER), or papers (EC), it
is unreasonable ... | [
{
"created": "Thu, 23 Feb 2023 18:01:00 GMT",
"version": "v1"
}
] | 2023-02-24 | [
[
"Laraki",
"Rida",
""
],
[
"Varloot",
"Estelle",
""
]
] | It is common that a jury must grade a set of candidates in a cardinal scale such as {1,2,3,4,5} or an ordinal scale such as {Great, Good, Average, Bad }. When the number of candidates is very large such as hotels (BOOKING), restaurants (GOOGLE), apartments (AIRBNB), drivers (UBER), or papers (EC), it is unreasonable to... |
2402.04982 | Mohamed Abdelaal | Tobias Clement and Hung Truong Thanh Nguyen and Nils Kemmerzell and
Mohamed Abdelaal and Davor Stjelja | Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for
Energy Consumption Prediction | A short version of this paper was published at the Australasian Joint
Conference on Artificial Intelligence in 2023 | null | null | null | cs.LG cs.DB | http://creativecommons.org/licenses/by/4.0/ | This paper presents an approach integrating explainable artificial
intelligence (XAI) techniques with adaptive learning to enhance energy
consumption prediction models, with a focus on handling data distribution
shifts. Leveraging SHAP clustering, our method provides interpretable
explanations for model predictions a... | [
{
"created": "Wed, 7 Feb 2024 15:58:51 GMT",
"version": "v1"
}
] | 2024-02-08 | [
[
"Clement",
"Tobias",
""
],
[
"Nguyen",
"Hung Truong Thanh",
""
],
[
"Kemmerzell",
"Nils",
""
],
[
"Abdelaal",
"Mohamed",
""
],
[
"Stjelja",
"Davor",
""
]
] | This paper presents an approach integrating explainable artificial intelligence (XAI) techniques with adaptive learning to enhance energy consumption prediction models, with a focus on handling data distribution shifts. Leveraging SHAP clustering, our method provides interpretable explanations for model predictions and... |
2102.01251 | Bogdan Chlebus | Bogdan S. Chlebus and Dariusz R. Kowalski and Jan Olkowski and Jedrzej
Olkowski | Disconnected Agreement in Networks Prone to Link Failures | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider deterministic distributed algorithms for reaching agreement in
synchronous networks of arbitrary topologies. Links are bi-directional and
prone to failures while nodes stay non-faulty at all times. A faulty link may
omit messages. Agreement among nodes is understood as holding in each connected
component ... | [
{
"created": "Tue, 2 Feb 2021 01:30:06 GMT",
"version": "v1"
},
{
"created": "Sun, 25 Jun 2023 19:49:44 GMT",
"version": "v2"
}
] | 2023-06-27 | [
[
"Chlebus",
"Bogdan S.",
""
],
[
"Kowalski",
"Dariusz R.",
""
],
[
"Olkowski",
"Jan",
""
],
[
"Olkowski",
"Jedrzej",
""
]
] | We consider deterministic distributed algorithms for reaching agreement in synchronous networks of arbitrary topologies. Links are bi-directional and prone to failures while nodes stay non-faulty at all times. A faulty link may omit messages. Agreement among nodes is understood as holding in each connected component of... |
2203.09438 | S\"oren Schleibaum | S\"oren Schleibaum and J\"org P. M\"uller and Monika Sester | An Explainable Stacked Ensemble Model for Static Route-Free Estimation
of Time of Arrival | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | To compare alternative taxi schedules and to compute them, as well as to
provide insights into an upcoming taxi trip to drivers and passengers, the
duration of a trip or its Estimated Time of Arrival (ETA) is predicted. To
reach a high prediction precision, machine learning models for ETA are state of
the art. One ye... | [
{
"created": "Thu, 17 Mar 2022 16:56:45 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Jan 2024 14:29:30 GMT",
"version": "v2"
}
] | 2024-01-12 | [
[
"Schleibaum",
"Sören",
""
],
[
"Müller",
"Jörg P.",
""
],
[
"Sester",
"Monika",
""
]
] | To compare alternative taxi schedules and to compute them, as well as to provide insights into an upcoming taxi trip to drivers and passengers, the duration of a trip or its Estimated Time of Arrival (ETA) is predicted. To reach a high prediction precision, machine learning models for ETA are state of the art. One yet ... |
1108.3638 | EPTCS | Matthew J. Samuel (Rutgers, the State University of New Jersey) | Word posets, with applications to Coxeter groups | In Proceedings WORDS 2011, arXiv:1108.3412 | EPTCS 63, 2011, pp. 226-230 | 10.4204/EPTCS.63.28 | null | cs.DM cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We discuss the theory of certain partially ordered sets that capture the
structure of commutation classes of words in monoids. As a first application,
it follows readily that counting words in commutation classes is #P-complete.
We then apply the partially ordered sets to Coxeter groups. Some results are a
proof that... | [
{
"created": "Thu, 18 Aug 2011 03:55:01 GMT",
"version": "v1"
}
] | 2011-08-19 | [
[
"Samuel",
"Matthew J.",
"",
"Rutgers, the State University of New Jersey"
]
] | We discuss the theory of certain partially ordered sets that capture the structure of commutation classes of words in monoids. As a first application, it follows readily that counting words in commutation classes is #P-complete. We then apply the partially ordered sets to Coxeter groups. Some results are a proof that e... |
2210.09582 | Abdelrahim Elmadany | Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, Houda
Bouamor, Nizar Habash | NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Task | arXiv admin note: text overlap with arXiv:2103.08466 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We describe findings of the third Nuanced Arabic Dialect Identification
Shared Task (NADI 2022). NADI aims at advancing state of the art Arabic NLP,
including on Arabic dialects. It does so by affording diverse datasets and
modeling opportunities in a standardized context where meaningful comparisons
between models a... | [
{
"created": "Tue, 18 Oct 2022 04:31:05 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Oct 2022 20:04:33 GMT",
"version": "v2"
}
] | 2022-10-24 | [
[
"Abdul-Mageed",
"Muhammad",
""
],
[
"Zhang",
"Chiyu",
""
],
[
"Elmadany",
"AbdelRahim",
""
],
[
"Bouamor",
"Houda",
""
],
[
"Habash",
"Nizar",
""
]
] | We describe findings of the third Nuanced Arabic Dialect Identification Shared Task (NADI 2022). NADI aims at advancing state of the art Arabic NLP, including on Arabic dialects. It does so by affording diverse datasets and modeling opportunities in a standardized context where meaningful comparisons between models and... |
1912.00426 | Yang Li | Yang Li | Area Queries Based on Voronoi Diagrams | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The area query, to find all elements contained in a specified area from a
certain set of spatial objects, is a very important spatial query widely
required in various fields. A number of approaches have been proposed to
implement this query, the best known of which is to obtain a rough candidate
set through spatial i... | [
{
"created": "Sun, 1 Dec 2019 15:16:46 GMT",
"version": "v1"
},
{
"created": "Sat, 28 Mar 2020 17:17:09 GMT",
"version": "v2"
}
] | 2020-03-31 | [
[
"Li",
"Yang",
""
]
] | The area query, to find all elements contained in a specified area from a certain set of spatial objects, is a very important spatial query widely required in various fields. A number of approaches have been proposed to implement this query, the best known of which is to obtain a rough candidate set through spatial ind... |
2002.07515 | Gustavo Maciel Dias Vieira | William B. Mingardi, Gustavo M. D. Vieira | Characterizing Synchronous Writes in Stable Memory Devices | 14 pages | WPerformance '19: Proceedings of the XVIII Computer and
Communication Systems Workshop, SBC, 2019 | 10.5753/wperformance.2019.6458 | null | cs.OS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Distributed algorithms that operate in the fail-recovery model rely on the
state stored in stable memory to guarantee the irreversibility of operations
even in the presence of failures. The performance of these algorithms lean
heavily on the performance of stable memory. Current storage technologies have
a defined pe... | [
{
"created": "Tue, 18 Feb 2020 12:26:24 GMT",
"version": "v1"
}
] | 2020-02-19 | [
[
"Mingardi",
"William B.",
""
],
[
"Vieira",
"Gustavo M. D.",
""
]
] | Distributed algorithms that operate in the fail-recovery model rely on the state stored in stable memory to guarantee the irreversibility of operations even in the presence of failures. The performance of these algorithms lean heavily on the performance of stable memory. Current storage technologies have a defined perf... |
2106.04165 | Stefano Massaroli | Michael Poli, Stefano Massaroli, Luca Scimeca, Seong Joon Oh, Sanghyuk
Chun, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg | Neural Hybrid Automata: Learning Dynamics with Multiple Modes and
Stochastic Transitions | null | null | null | null | cs.LG cs.NE cs.SY eess.SY math.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Effective control and prediction of dynamical systems often require
appropriate handling of continuous-time and discrete, event-triggered
processes. Stochastic hybrid systems (SHSs), common across engineering domains,
provide a formalism for dynamical systems subject to discrete, possibly
stochastic, state jumps and ... | [
{
"created": "Tue, 8 Jun 2021 08:04:39 GMT",
"version": "v1"
}
] | 2021-06-09 | [
[
"Poli",
"Michael",
""
],
[
"Massaroli",
"Stefano",
""
],
[
"Scimeca",
"Luca",
""
],
[
"Oh",
"Seong Joon",
""
],
[
"Chun",
"Sanghyuk",
""
],
[
"Yamashita",
"Atsushi",
""
],
[
"Asama",
"Hajime",
""
],
[
... | Effective control and prediction of dynamical systems often require appropriate handling of continuous-time and discrete, event-triggered processes. Stochastic hybrid systems (SHSs), common across engineering domains, provide a formalism for dynamical systems subject to discrete, possibly stochastic, state jumps and mu... |
1411.4139 | Jie Xu Dr. | Jie Xu and Lingjie Duan and Rui Zhang | Cost-Aware Green Cellular Networks with Energy and Communication
Cooperation | Submitted for possible publication | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Energy cost of cellular networks is ever-increasing to match the surge of
wireless data traffic, and the saving of this cost is important to reduce the
operational expenditure (OPEX) of wireless operators in future. The recent
advancements of renewable energy integration and two-way energy flow in smart
grid provide ... | [
{
"created": "Sat, 15 Nov 2014 12:21:00 GMT",
"version": "v1"
}
] | 2014-11-18 | [
[
"Xu",
"Jie",
""
],
[
"Duan",
"Lingjie",
""
],
[
"Zhang",
"Rui",
""
]
] | Energy cost of cellular networks is ever-increasing to match the surge of wireless data traffic, and the saving of this cost is important to reduce the operational expenditure (OPEX) of wireless operators in future. The recent advancements of renewable energy integration and two-way energy flow in smart grid provide po... |
2103.09154 | Liam Schoneveld | Liam Schoneveld and Alice Othmani and Hazem Abdelkawy | Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion
Recognition | 8 pages, 3 figures, Pattern Recognition Letters | null | 10.1016/j.patrec.2021.03.007 | null | cs.CV cs.LG cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | Emotional expressions are the behaviors that communicate our emotional state
or attitude to others. They are expressed through verbal and non-verbal
communication. Complex human behavior can be understood by studying physical
features from multiple modalities; mainly facial, vocal and physical gestures.
Recently, spo... | [
{
"created": "Tue, 16 Mar 2021 15:49:15 GMT",
"version": "v1"
},
{
"created": "Tue, 14 Sep 2021 08:26:09 GMT",
"version": "v2"
}
] | 2021-09-15 | [
[
"Schoneveld",
"Liam",
""
],
[
"Othmani",
"Alice",
""
],
[
"Abdelkawy",
"Hazem",
""
]
] | Emotional expressions are the behaviors that communicate our emotional state or attitude to others. They are expressed through verbal and non-verbal communication. Complex human behavior can be understood by studying physical features from multiple modalities; mainly facial, vocal and physical gestures. Recently, spont... |
2311.15551 | Jiang Liu | Jiang Liu, Chen Wei, Yuxiang Guo, Heng Yu, Alan Yuille, Soheil Feizi,
Chun Pong Lau, Rama Chellappa | Instruct2Attack: Language-Guided Semantic Adversarial Attacks | under submission, code coming soon | null | null | null | cs.CV cs.AI cs.CR cs.LG eess.IV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We propose Instruct2Attack (I2A), a language-guided semantic attack that
generates semantically meaningful perturbations according to free-form language
instructions. We make use of state-of-the-art latent diffusion models, where we
adversarially guide the reverse diffusion process to search for an adversarial
latent... | [
{
"created": "Mon, 27 Nov 2023 05:35:49 GMT",
"version": "v1"
}
] | 2023-11-28 | [
[
"Liu",
"Jiang",
""
],
[
"Wei",
"Chen",
""
],
[
"Guo",
"Yuxiang",
""
],
[
"Yu",
"Heng",
""
],
[
"Yuille",
"Alan",
""
],
[
"Feizi",
"Soheil",
""
],
[
"Lau",
"Chun Pong",
""
],
[
"Chellappa",
"Rama... | We propose Instruct2Attack (I2A), a language-guided semantic attack that generates semantically meaningful perturbations according to free-form language instructions. We make use of state-of-the-art latent diffusion models, where we adversarially guide the reverse diffusion process to search for an adversarial latent c... |
1507.01970 | Laurent Schmalen | Sebastian Cammerer, Vahid Aref, Laurent Schmalen, Stephan ten Brink | Triggering Wave-Like Convergence of Tail-biting Spatially Coupled LDPC
Codes | Submitted to 2016 Annual Conference on Information Science and
Systems (CISS) | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Spatially coupled low-density parity-check (SC-LDPC) codes can achieve the
channel capacity under low-complexity belief propagation (BP) decoding,
however, there is a non-negligible rate-loss because of termination effects for
practical finite coupling lengths. In this paper, we study how we can approach
the performa... | [
{
"created": "Tue, 7 Jul 2015 21:14:42 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Dec 2015 17:29:28 GMT",
"version": "v2"
}
] | 2015-12-16 | [
[
"Cammerer",
"Sebastian",
""
],
[
"Aref",
"Vahid",
""
],
[
"Schmalen",
"Laurent",
""
],
[
"Brink",
"Stephan ten",
""
]
] | Spatially coupled low-density parity-check (SC-LDPC) codes can achieve the channel capacity under low-complexity belief propagation (BP) decoding, however, there is a non-negligible rate-loss because of termination effects for practical finite coupling lengths. In this paper, we study how we can approach the performanc... |
2403.04924 | Xiang Li | Xiang Li, Kai Qiu, Jinglu Wang, Xiaohao Xu, Rita Singh, Kashu Yamazak,
Hao Chen, Xiaonan Huang, Bhiksha Raj | $\text{R}^2$-Bench: Benchmarking the Robustness of Referring Perception
Models under Perturbations | Code and dataset will be released at
https://github.com/lxa9867/r2bench | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Referring perception, which aims at grounding visual objects with multimodal
referring guidance, is essential for bridging the gap between humans, who
provide instructions, and the environment where intelligent systems perceive.
Despite progress in this field, the robustness of referring perception models
(RPMs) agai... | [
{
"created": "Thu, 7 Mar 2024 22:18:12 GMT",
"version": "v1"
}
] | 2024-03-11 | [
[
"Li",
"Xiang",
""
],
[
"Qiu",
"Kai",
""
],
[
"Wang",
"Jinglu",
""
],
[
"Xu",
"Xiaohao",
""
],
[
"Singh",
"Rita",
""
],
[
"Yamazak",
"Kashu",
""
],
[
"Chen",
"Hao",
""
],
[
"Huang",
"Xiaonan",
... | Referring perception, which aims at grounding visual objects with multimodal referring guidance, is essential for bridging the gap between humans, who provide instructions, and the environment where intelligent systems perceive. Despite progress in this field, the robustness of referring perception models (RPMs) agains... |
1709.01822 | Mark Yampolskiy | Samuel B. Moore, Jacob Gatlin, Sofia Belikovetsky, Mark Yampolskiy,
Wayne E. King, Yuval Elovici | Power Consumption-based Detection of Sabotage Attacks in Additive
Manufacturing | Accepted as poster at RAID 2017 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Additive Manufacturing (AM), a.k.a. 3D Printing, is increasingly used to
manufacture functional parts of safety-critical systems. AM's dependence on
computerization raises the concern that the AM process can be tampered with,
and a part's mechanical properties sabotaged. This can lead to the destruction
of a system e... | [
{
"created": "Wed, 6 Sep 2017 13:48:41 GMT",
"version": "v1"
}
] | 2017-09-07 | [
[
"Moore",
"Samuel B.",
""
],
[
"Gatlin",
"Jacob",
""
],
[
"Belikovetsky",
"Sofia",
""
],
[
"Yampolskiy",
"Mark",
""
],
[
"King",
"Wayne E.",
""
],
[
"Elovici",
"Yuval",
""
]
] | Additive Manufacturing (AM), a.k.a. 3D Printing, is increasingly used to manufacture functional parts of safety-critical systems. AM's dependence on computerization raises the concern that the AM process can be tampered with, and a part's mechanical properties sabotaged. This can lead to the destruction of a system emp... |
1001.4190 | Archunan Selvi | A.Srinivasan, K.Srinivasa Rao, K.Kannan, D.Narasimhan | Speech Recognition of the letter 'zha' in Tamil Language using HMM | 6 Pages | IJEST Volume 1 Issue 2 2009 67-72 | null | IJEST09-01-02-05 | cs.SD | http://creativecommons.org/licenses/by/3.0/ | Speech signals of the letter 'zha' in Tamil language of 3 males and 3 females
were coded using an improved version of Linear Predictive Coding (LPC). The
sampling frequency was at 16 kHz and the bit rate was at 15450 bits per second,
where the original bit rate was at 128000 bits per second with the help of wave
surf... | [
{
"created": "Sat, 23 Jan 2010 19:04:50 GMT",
"version": "v1"
}
] | 2010-01-26 | [
[
"Srinivasan",
"A.",
""
],
[
"Rao",
"K. Srinivasa",
""
],
[
"Kannan",
"K.",
""
],
[
"Narasimhan",
"D.",
""
]
] | Speech signals of the letter 'zha' in Tamil language of 3 males and 3 females were coded using an improved version of Linear Predictive Coding (LPC). The sampling frequency was at 16 kHz and the bit rate was at 15450 bits per second, where the original bit rate was at 128000 bits per second with the help of wave surfer... |
2401.17800 | Sifei Li | Sifei Li, Weiming Dong, Yuxin Zhang, Fan Tang, Chongyang Ma, Oliver
Deussen, Tong-Yee Lee, Changsheng Xu | Dance-to-Music Generation with Encoder-based Textual Inversion of
Diffusion Models | 9 pages, 3 figures | null | null | null | cs.SD cs.MM eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The harmonious integration of music with dance movements is pivotal in
vividly conveying the artistic essence of dance. This alignment also
significantly elevates the immersive quality of gaming experiences and
animation productions. While there has been remarkable advancement in creating
high-fidelity music from tex... | [
{
"created": "Wed, 31 Jan 2024 12:51:26 GMT",
"version": "v1"
}
] | 2024-02-01 | [
[
"Li",
"Sifei",
""
],
[
"Dong",
"Weiming",
""
],
[
"Zhang",
"Yuxin",
""
],
[
"Tang",
"Fan",
""
],
[
"Ma",
"Chongyang",
""
],
[
"Deussen",
"Oliver",
""
],
[
"Lee",
"Tong-Yee",
""
],
[
"Xu",
"Chang... | The harmonious integration of music with dance movements is pivotal in vividly conveying the artistic essence of dance. This alignment also significantly elevates the immersive quality of gaming experiences and animation productions. While there has been remarkable advancement in creating high-fidelity music from textu... |
1911.11455 | Shubham Gupta | Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar
Dukkipati | Neural Latent Space Model for Dynamic Networks and Temporal Knowledge
Graphs | Accepted at AAAI-21 | null | null | null | cs.SI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although static networks have been extensively studied in machine learning,
data mining, and AI communities for many decades, the study of dynamic networks
has recently taken center stage due to the prominence of social media and its
effects on the dynamics of social networks. In this paper, we propose a
statistical ... | [
{
"created": "Tue, 26 Nov 2019 11:13:51 GMT",
"version": "v1"
},
{
"created": "Fri, 18 Dec 2020 12:19:27 GMT",
"version": "v2"
}
] | 2020-12-21 | [
[
"Gracious",
"Tony",
""
],
[
"Gupta",
"Shubham",
""
],
[
"Kanthali",
"Arun",
""
],
[
"Castro",
"Rui M.",
""
],
[
"Dukkipati",
"Ambedkar",
""
]
] | Although static networks have been extensively studied in machine learning, data mining, and AI communities for many decades, the study of dynamic networks has recently taken center stage due to the prominence of social media and its effects on the dynamics of social networks. In this paper, we propose a statistical mo... |
1605.01229 | Paolo Missier | Paolo Missier | The lifecycle of provenance metadata and its associated challenges and
opportunities | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This chapter outlines some of the challenges and opportunities associated
with adopting provenance principles and standards in a variety of disciplines,
including data publication and reuse, and information sciences.
| [
{
"created": "Wed, 4 May 2016 11:27:45 GMT",
"version": "v1"
}
] | 2016-05-05 | [
[
"Missier",
"Paolo",
""
]
] | This chapter outlines some of the challenges and opportunities associated with adopting provenance principles and standards in a variety of disciplines, including data publication and reuse, and information sciences. |
1303.1475 | Kim-Leng Poh | Kim-Leng Poh, Eric J. Horvitz | Reasoning about the Value of Decision-Model Refinement: Methods and
Application | Appears in Proceedings of the Ninth Conference on Uncertainty in
Artificial Intelligence (UAI1993) | null | null | UAI-P-1993-PG-174-182 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the value of extending the completeness of a decision model
along different dimensions of refinement. Specifically, we analyze the expected
value of quantitative, conceptual, and structural refinement of decision
models. We illustrate the key dimensions of refinement with examples. The
analyses of valu... | [
{
"created": "Wed, 6 Mar 2013 14:20:23 GMT",
"version": "v1"
}
] | 2013-03-08 | [
[
"Poh",
"Kim-Leng",
""
],
[
"Horvitz",
"Eric J.",
""
]
] | We investigate the value of extending the completeness of a decision model along different dimensions of refinement. Specifically, we analyze the expected value of quantitative, conceptual, and structural refinement of decision models. We illustrate the key dimensions of refinement with examples. The analyses of value ... |
2303.12757 | Wolfgang Fuhl | Wolfgang Fuhl and Susanne Zabel and Theresa Harbig and Julia Astrid
Moldt and Teresa Festl Wiete and Anne Herrmann Werner and Kay Nieselt | A temporally quantized distribution of pupil diameters as a new feature
for cognitive load classification | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present a new feature that can be used to classify
cognitive load based on pupil information. The feature consists of a temporal
segmentation of the eye tracking recordings. For each segment of the temporal
partition, a probability distribution of pupil size is computed and stored.
These probability... | [
{
"created": "Fri, 3 Mar 2023 07:52:16 GMT",
"version": "v1"
}
] | 2023-03-23 | [
[
"Fuhl",
"Wolfgang",
""
],
[
"Zabel",
"Susanne",
""
],
[
"Harbig",
"Theresa",
""
],
[
"Moldt",
"Julia Astrid",
""
],
[
"Wiete",
"Teresa Festl",
""
],
[
"Werner",
"Anne Herrmann",
""
],
[
"Nieselt",
"Kay",
""... | In this paper, we present a new feature that can be used to classify cognitive load based on pupil information. The feature consists of a temporal segmentation of the eye tracking recordings. For each segment of the temporal partition, a probability distribution of pupil size is computed and stored. These probability d... |
2207.12471 | Ali Esmaeily | Sondre Kielland, Ali Esmaeily, Katina Kralevska, and Danilo Gligoroski | Secure Service Implementation with Slice Isolation and WireGuard | Accepted for publication in 2022 IEEE International Mediterranean
Conference on Communications and Networking (MeditCom) | null | null | null | cs.NI | http://creativecommons.org/licenses/by-sa/4.0/ | Network slicing enables the provision of services for different verticals
over a shared infrastructure. Nevertheless, security is still one of the main
challenges when sharing resources. In this paper, we study how WireGuard can
provide an encrypted Virtual Private Network (VPN) tunnel as a service between
network fu... | [
{
"created": "Mon, 25 Jul 2022 18:48:13 GMT",
"version": "v1"
}
] | 2022-07-27 | [
[
"Kielland",
"Sondre",
""
],
[
"Esmaeily",
"Ali",
""
],
[
"Kralevska",
"Katina",
""
],
[
"Gligoroski",
"Danilo",
""
]
] | Network slicing enables the provision of services for different verticals over a shared infrastructure. Nevertheless, security is still one of the main challenges when sharing resources. In this paper, we study how WireGuard can provide an encrypted Virtual Private Network (VPN) tunnel as a service between network func... |
2203.06841 | Hai Wang | Hai Wang, Xiaoyu Xiang, Yapeng Tian, Wenming Yang, Qingmin Liao | STDAN: Deformable Attention Network for Space-Time Video
Super-Resolution | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The target of space-time video super-resolution (STVSR) is to increase the
spatial-temporal resolution of low-resolution (LR) and low frame rate (LFR)
videos. Recent approaches based on deep learning have made significant
improvements, but most of them only use two adjacent frames, that is,
short-term features, to sy... | [
{
"created": "Mon, 14 Mar 2022 03:40:35 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Jul 2022 03:28:15 GMT",
"version": "v2"
}
] | 2022-07-18 | [
[
"Wang",
"Hai",
""
],
[
"Xiang",
"Xiaoyu",
""
],
[
"Tian",
"Yapeng",
""
],
[
"Yang",
"Wenming",
""
],
[
"Liao",
"Qingmin",
""
]
] | The target of space-time video super-resolution (STVSR) is to increase the spatial-temporal resolution of low-resolution (LR) and low frame rate (LFR) videos. Recent approaches based on deep learning have made significant improvements, but most of them only use two adjacent frames, that is, short-term features, to synt... |
1906.01511 | Hongtao Liu | Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu,
Wenjun Wang, Xing Xie | Neural Review Rating Prediction with Hierarchical Attentions and Latent
Factors | 4pages, 1 figures | null | null | null | cs.IR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Text reviews can provide rich useful semantic information for modeling users
and items, which can benefit rating prediction in recommendation. Different
words and reviews may have different informativeness for users or items.
Besides, different users and items should be personalized. Most existing works
regard all re... | [
{
"created": "Wed, 29 May 2019 14:16:28 GMT",
"version": "v1"
}
] | 2019-06-05 | [
[
"Wang",
"Xianchen",
""
],
[
"Liu",
"Hongtao",
""
],
[
"Wang",
"Peiyi",
""
],
[
"Wu",
"Fangzhao",
""
],
[
"Xu",
"Hongyan",
""
],
[
"Wang",
"Wenjun",
""
],
[
"Xie",
"Xing",
""
]
] | Text reviews can provide rich useful semantic information for modeling users and items, which can benefit rating prediction in recommendation. Different words and reviews may have different informativeness for users or items. Besides, different users and items should be personalized. Most existing works regard all revi... |
1408.3829 | Richa Sharma | Richa Sharma, Shweta Nigam, Rekha Jain | Opinion mining of movie reviews at document level | International Journal on Information Theory (IJIT), Vol.3, No.3, July
2014 | null | null | null | cs.IR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The whole world is changed rapidly and using the current technologies
Internet becomes an essential need for everyone. Web is used in every field.
Most of the people use web for a common purpose like online shopping, chatting
etc. During an online shopping large number of reviews/opinions are given by
the users that ... | [
{
"created": "Sun, 17 Aug 2014 14:56:36 GMT",
"version": "v1"
}
] | 2014-08-19 | [
[
"Sharma",
"Richa",
""
],
[
"Nigam",
"Shweta",
""
],
[
"Jain",
"Rekha",
""
]
] | The whole world is changed rapidly and using the current technologies Internet becomes an essential need for everyone. Web is used in every field. Most of the people use web for a common purpose like online shopping, chatting etc. During an online shopping large number of reviews/opinions are given by the users that re... |
2205.13832 | Martin Haugh | Martin Haugh and Raghav Singal | Counterfactual Analysis in Dynamic Latent State Models | 32 pages, 10 figures | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We provide an optimization-based framework to perform counterfactual analysis
in a dynamic model with hidden states. Our framework is grounded in the
``abduction, action, and prediction'' approach to answer counterfactual queries
and handles two key challenges where (1) the states are hidden and (2) the
model is dyna... | [
{
"created": "Fri, 27 May 2022 08:51:07 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Jan 2023 16:16:56 GMT",
"version": "v2"
},
{
"created": "Sun, 26 Mar 2023 17:14:08 GMT",
"version": "v3"
},
{
"created": "Fri, 5 May 2023 19:02:26 GMT",
"version": "v4"
}
] | 2023-05-09 | [
[
"Haugh",
"Martin",
""
],
[
"Singal",
"Raghav",
""
]
] | We provide an optimization-based framework to perform counterfactual analysis in a dynamic model with hidden states. Our framework is grounded in the ``abduction, action, and prediction'' approach to answer counterfactual queries and handles two key challenges where (1) the states are hidden and (2) the model is dynami... |
1902.08779 | Feng Wang | Feng Wang, Hong Xing, and Jie Xu | Optimal Resource Allocation for Wireless Powered Mobile Edge Computing
with Dynamic Task Arrivals | 7 pages, 3 figures, and Accepted by IEEE ICC 2019, Shanghai, China | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper considers a wireless powered multiuser mobile edge computing (MEC)
system, where a multi-antenna access point (AP) employs the radio-frequency
(RF) signal based wireless power transfer (WPT) to charge a number of
distributed users, and each user utilizes the harvested energy to execute
computation tasks vi... | [
{
"created": "Sat, 23 Feb 2019 11:45:26 GMT",
"version": "v1"
}
] | 2019-02-26 | [
[
"Wang",
"Feng",
""
],
[
"Xing",
"Hong",
""
],
[
"Xu",
"Jie",
""
]
] | This paper considers a wireless powered multiuser mobile edge computing (MEC) system, where a multi-antenna access point (AP) employs the radio-frequency (RF) signal based wireless power transfer (WPT) to charge a number of distributed users, and each user utilizes the harvested energy to execute computation tasks via ... |
2406.02585 | Siavash Golkar | Siavash Golkar, Alberto Bietti, Mariel Pettee, Michael Eickenberg,
Miles Cranmer, Keiya Hirashima, Geraud Krawezik, Nicholas Lourie, Michael
McCabe, Rudy Morel, Ruben Ohana, Liam Holden Parker, Bruno R\'egaldo-Saint
Blancard, Kyunghyun Cho, Shirley Ho | Contextual Counting: A Mechanistic Study of Transformers on a
Quantitative Task | null | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transformers have revolutionized machine learning across diverse domains, yet
understanding their behavior remains crucial, particularly in high-stakes
applications. This paper introduces the contextual counting task, a novel toy
problem aimed at enhancing our understanding of Transformers in quantitative
and scienti... | [
{
"created": "Thu, 30 May 2024 20:52:23 GMT",
"version": "v1"
}
] | 2024-06-06 | [
[
"Golkar",
"Siavash",
""
],
[
"Bietti",
"Alberto",
""
],
[
"Pettee",
"Mariel",
""
],
[
"Eickenberg",
"Michael",
""
],
[
"Cranmer",
"Miles",
""
],
[
"Hirashima",
"Keiya",
""
],
[
"Krawezik",
"Geraud",
""
],... | Transformers have revolutionized machine learning across diverse domains, yet understanding their behavior remains crucial, particularly in high-stakes applications. This paper introduces the contextual counting task, a novel toy problem aimed at enhancing our understanding of Transformers in quantitative and scientifi... |
1607.05440 | Xiaojie Jin Mr. | Xiaojie Jin, Yunpeng Chen, Jian Dong, Jiashi Feng, Shuicheng Yan | Collaborative Layer-wise Discriminative Learning in Deep Neural Networks | To appear in ECCV 2016. Maybe subject to minor changes before
camera-ready version | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Intermediate features at different layers of a deep neural network are known
to be discriminative for visual patterns of different complexities. However,
most existing works ignore such cross-layer heterogeneities when classifying
samples of different complexities. For example, if a training sample has
already been c... | [
{
"created": "Tue, 19 Jul 2016 07:56:37 GMT",
"version": "v1"
}
] | 2016-07-20 | [
[
"Jin",
"Xiaojie",
""
],
[
"Chen",
"Yunpeng",
""
],
[
"Dong",
"Jian",
""
],
[
"Feng",
"Jiashi",
""
],
[
"Yan",
"Shuicheng",
""
]
] | Intermediate features at different layers of a deep neural network are known to be discriminative for visual patterns of different complexities. However, most existing works ignore such cross-layer heterogeneities when classifying samples of different complexities. For example, if a training sample has already been cor... |
2406.10515 | Theodore Dunham | TJ Dunham, Henry Syahputra | Reactor Mk.1 performances: MMLU, HumanEval and BBH test results | null | null | null | null | cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper presents the performance results of Reactor Mk.1, ARCs flagship
large language model, through a benchmarking process analysis. The model
utilizes the Lychee AI engine and possesses less than 100 billion parameters,
resulting in a combination of efficiency and potency. The Reactor Mk.1
outperformed models su... | [
{
"created": "Sat, 15 Jun 2024 05:52:32 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Jul 2024 08:03:32 GMT",
"version": "v2"
}
] | 2024-07-29 | [
[
"Dunham",
"TJ",
""
],
[
"Syahputra",
"Henry",
""
]
] | The paper presents the performance results of Reactor Mk.1, ARCs flagship large language model, through a benchmarking process analysis. The model utilizes the Lychee AI engine and possesses less than 100 billion parameters, resulting in a combination of efficiency and potency. The Reactor Mk.1 outperformed models such... |
2405.18518 | Run-Quan Zhang | Runquan Zhang, Jiawen Jiang, Xiaoping Shi | Modeling Long Sequences in Bladder Cancer Recurrence: A Comparative
Evaluation of LSTM,Transformer,and Mamba | null | null | null | null | cs.LG stat.ME stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditional survival analysis methods often struggle with complex
time-dependent data,failing to capture and interpret dynamic characteristics
adequately.This study aims to evaluate the performance of three long-sequence
models,LSTM,Transformer,and Mamba,in analyzing recurrence event data and
integrating them with th... | [
{
"created": "Tue, 28 May 2024 18:38:15 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Jul 2024 17:38:12 GMT",
"version": "v2"
}
] | 2024-07-22 | [
[
"Zhang",
"Runquan",
""
],
[
"Jiang",
"Jiawen",
""
],
[
"Shi",
"Xiaoping",
""
]
] | Traditional survival analysis methods often struggle with complex time-dependent data,failing to capture and interpret dynamic characteristics adequately.This study aims to evaluate the performance of three long-sequence models,LSTM,Transformer,and Mamba,in analyzing recurrence event data and integrating them with the ... |
1305.1121 | Peter Robinson | John Augustine, Anisur Rahaman Molla, Ehab Morsy, Gopal Pandurangan,
Peter Robinson, Eli Upfal | Storage and Search in Dynamic Peer-to-Peer Networks | to appear at SPAA 2013 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study robust and efficient distributed algorithms for searching, storing,
and maintaining data in dynamic Peer-to-Peer (P2P) networks. P2P networks are
highly dynamic networks that experience heavy node churn (i.e., nodes join and
leave the network continuously over time). Our goal is to guarantee, despite
high no... | [
{
"created": "Mon, 6 May 2013 09:04:39 GMT",
"version": "v1"
}
] | 2013-05-07 | [
[
"Augustine",
"John",
""
],
[
"Molla",
"Anisur Rahaman",
""
],
[
"Morsy",
"Ehab",
""
],
[
"Pandurangan",
"Gopal",
""
],
[
"Robinson",
"Peter",
""
],
[
"Upfal",
"Eli",
""
]
] | We study robust and efficient distributed algorithms for searching, storing, and maintaining data in dynamic Peer-to-Peer (P2P) networks. P2P networks are highly dynamic networks that experience heavy node churn (i.e., nodes join and leave the network continuously over time). Our goal is to guarantee, despite high node... |
2112.04070 | Li-Hsiang Shen | Li-Hsiang Shen, Chia-Yu Su, Kai-Ten Feng | CoMP Enhanced Subcarrier and Power Allocation for Multi-Numerology based
5G-NR Networks | null | IEEE Transactions on Vehicular Technology, 2022 | 10.1109/TVT.2022.3154896 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With proliferation of fifth generation (5G) new radio (NR) technology, it is
expected to meet the requirement of diverse traffic demands. We have designed a
coordinated multi-point (CoMP) enhanced flexible multi-numerology (MN) for
5G-NR networks to improve the network performance in terms of throughput and
latency. ... | [
{
"created": "Wed, 8 Dec 2021 01:34:55 GMT",
"version": "v1"
}
] | 2023-03-30 | [
[
"Shen",
"Li-Hsiang",
""
],
[
"Su",
"Chia-Yu",
""
],
[
"Feng",
"Kai-Ten",
""
]
] | With proliferation of fifth generation (5G) new radio (NR) technology, it is expected to meet the requirement of diverse traffic demands. We have designed a coordinated multi-point (CoMP) enhanced flexible multi-numerology (MN) for 5G-NR networks to improve the network performance in terms of throughput and latency. We... |
2311.01372 | Luyang Lin | Luyang Lin, Jing Li, Kam-Fai Wong | Data-Augmented and Retrieval-Augmented Context Enrichment in Chinese
Media Bias Detection | null | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the increasing pursuit of objective reports, automatically understanding
media bias has drawn more attention in recent research. However, most of the
previous work examines media bias from Western ideology, such as the left and
right in the political spectrum, which is not applicable to Chinese outlets.
Based on... | [
{
"created": "Thu, 2 Nov 2023 16:29:49 GMT",
"version": "v1"
},
{
"created": "Sat, 18 Nov 2023 09:45:01 GMT",
"version": "v2"
}
] | 2023-11-21 | [
[
"Lin",
"Luyang",
""
],
[
"Li",
"Jing",
""
],
[
"Wong",
"Kam-Fai",
""
]
] | With the increasing pursuit of objective reports, automatically understanding media bias has drawn more attention in recent research. However, most of the previous work examines media bias from Western ideology, such as the left and right in the political spectrum, which is not applicable to Chinese outlets. Based on t... |
2010.10673 | Ram\'on Fernandez Astudillo | Young-Suk Lee, Ramon Fernandez Astudillo, Tahira Naseem, Revanth Gangi
Reddy, Radu Florian, Salim Roukos | Pushing the Limits of AMR Parsing with Self-Learning | Accepted to Findings of EMNLP2020, open review
https://openreview.net/forum?id=4q5-oJgLiO, code
https://github.com/IBM/transition-amr-parser | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Abstract Meaning Representation (AMR) parsing has experienced a notable
growth in performance in the last two years, due both to the impact of transfer
learning and the development of novel architectures specific to AMR. At the
same time, self-learning techniques have helped push the performance boundaries
of other n... | [
{
"created": "Tue, 20 Oct 2020 23:45:04 GMT",
"version": "v1"
}
] | 2020-10-22 | [
[
"Lee",
"Young-Suk",
""
],
[
"Astudillo",
"Ramon Fernandez",
""
],
[
"Naseem",
"Tahira",
""
],
[
"Reddy",
"Revanth Gangi",
""
],
[
"Florian",
"Radu",
""
],
[
"Roukos",
"Salim",
""
]
] | Abstract Meaning Representation (AMR) parsing has experienced a notable growth in performance in the last two years, due both to the impact of transfer learning and the development of novel architectures specific to AMR. At the same time, self-learning techniques have helped push the performance boundaries of other nat... |
2403.13214 | Austin Lefebvre | Austin E. Y. T. Lefebvre (1), Gabriel Sturm (1 and 2), Ting-Yu Lin
(1), Emily Stoops (1), Magdalena Preciado Lopez (1), Benjamin Kaufmann-Malaga
(1), Kayley Hake (1) ((1) Calico Life Sciences LLC, (2) Department of
Biochemistry and Biophysics, University of California San Francisco) | Nellie: Automated organelle segmentation, tracking, and hierarchical
feature extraction in 2D/3D live-cell microscopy | for associated code, see https://github.com/aelefebv/nellie; 82
pages, 5 main figures, 11 extended figures | null | null | null | cs.CV cs.AI cs.LG q-bio.QM | http://creativecommons.org/licenses/by/4.0/ | The analysis of dynamic organelles remains a formidable challenge, though key
to understanding biological processes. We introduce Nellie, an automated and
unbiased pipeline for segmentation, tracking, and feature extraction of diverse
intracellular structures. Nellie adapts to image metadata, eliminating user
input. ... | [
{
"created": "Wed, 20 Mar 2024 00:23:42 GMT",
"version": "v1"
}
] | 2024-03-21 | [
[
"Lefebvre",
"Austin E. Y. T.",
"",
"1 and 2"
],
[
"Sturm",
"Gabriel",
"",
"1 and 2"
],
[
"Lin",
"Ting-Yu",
""
],
[
"Stoops",
"Emily",
""
],
[
"Lopez",
"Magdalena Preciado",
""
],
[
"Kaufmann-Malaga",
"Benjamin",
""... | The analysis of dynamic organelles remains a formidable challenge, though key to understanding biological processes. We introduce Nellie, an automated and unbiased pipeline for segmentation, tracking, and feature extraction of diverse intracellular structures. Nellie adapts to image metadata, eliminating user input. Ne... |
2401.11851 | Yuhao Ji | Yuhao Ji, Chao Fang, Zhongfeng Wang | BETA: Binarized Energy-Efficient Transformer Accelerator at the Edge | This paper is accepted by 2024 IEEE International Symposium on
Circuits and Systems (ISCAS 2024) | null | 10.1109/ISCAS58744.2024.10558636 | null | cs.AR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing binary Transformers are promising in edge deployment due to their
compact model size, low computational complexity, and considerable inference
accuracy. However, deploying binary Transformers faces challenges on prior
processors due to inefficient execution of quantized matrix multiplication
(QMM) and the en... | [
{
"created": "Mon, 22 Jan 2024 11:14:08 GMT",
"version": "v1"
},
{
"created": "Tue, 23 Jan 2024 04:17:07 GMT",
"version": "v2"
}
] | 2024-07-16 | [
[
"Ji",
"Yuhao",
""
],
[
"Fang",
"Chao",
""
],
[
"Wang",
"Zhongfeng",
""
]
] | Existing binary Transformers are promising in edge deployment due to their compact model size, low computational complexity, and considerable inference accuracy. However, deploying binary Transformers faces challenges on prior processors due to inefficient execution of quantized matrix multiplication (QMM) and the ener... |
1510.06702 | Matthew Wright | Matthew Wright and Roberto Horowitz | Fusing Loop and GPS Probe Measurements to Estimate Freeway Density | null | IEEE Transactions on Intelligent Transportation Systems, vol. 17,
no. 12, pp. 3577-3590, Dec. 2016 | 10.1109/TITS.2016.2565438 | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In an age of ever-increasing penetration of GPS-enabled mobile devices, the
potential of real-time "probe" location information for estimating the state of
transportation networks is receiving increasing attention. Much work has been
done on using probe data to estimate the current speed of vehicle traffic (or
equiva... | [
{
"created": "Thu, 22 Oct 2015 18:01:59 GMT",
"version": "v1"
},
{
"created": "Wed, 18 May 2016 19:37:24 GMT",
"version": "v2"
}
] | 2017-09-25 | [
[
"Wright",
"Matthew",
""
],
[
"Horowitz",
"Roberto",
""
]
] | In an age of ever-increasing penetration of GPS-enabled mobile devices, the potential of real-time "probe" location information for estimating the state of transportation networks is receiving increasing attention. Much work has been done on using probe data to estimate the current speed of vehicle traffic (or equivale... |
2407.02944 | Mojtaba Abaie Shoushtary | Mojtaba Abaie Shoushtary, Jordi Tubella Murgadas, Antonio Gonzalez | Control Flow Management in Modern GPUs | null | null | null | null | cs.AR | http://creativecommons.org/licenses/by-sa/4.0/ | In GPUs, the control flow management mechanism determines which threads in a
warp are active at any point in time. This mechanism monitors the control flow
of scalar threads within a warp to optimize thread scheduling and plays a
critical role in the utilization of execution resources. The control flow
management mec... | [
{
"created": "Wed, 3 Jul 2024 09:21:28 GMT",
"version": "v1"
}
] | 2024-07-04 | [
[
"Shoushtary",
"Mojtaba Abaie",
""
],
[
"Murgadas",
"Jordi Tubella",
""
],
[
"Gonzalez",
"Antonio",
""
]
] | In GPUs, the control flow management mechanism determines which threads in a warp are active at any point in time. This mechanism monitors the control flow of scalar threads within a warp to optimize thread scheduling and plays a critical role in the utilization of execution resources. The control flow management mecha... |
cs/0701038 | Peter Jung | Peter Jung | Approximate Eigenstructure of LTV Channels with Compactly Supported
Spreading | 5 pages, 1 figure, submitted to the 2007 IEEE International Symposium
on Information Theory; condition in Lemma 6 and constants in (26) corrected | null | null | null | cs.IT math.IT | null | In this article we obtain estimates on the approximate eigenstructure of
channels with a spreading function supported only on a set of finite measure
$|U|$.Because in typical application like wireless communication the spreading
function is a random process corresponding to a random Hilbert--Schmidt channel
operator ... | [
{
"created": "Sat, 6 Jan 2007 12:22:40 GMT",
"version": "v1"
},
{
"created": "Tue, 27 Feb 2007 15:51:46 GMT",
"version": "v2"
}
] | 2007-07-13 | [
[
"Jung",
"Peter",
""
]
] | In this article we obtain estimates on the approximate eigenstructure of channels with a spreading function supported only on a set of finite measure $|U|$.Because in typical application like wireless communication the spreading function is a random process corresponding to a random Hilbert--Schmidt channel operator $\... |
2408.02088 | Zhihao Lai | Zhihao Lai, Chuanhao Liu, Shihui Sheng and Zhiqiang Zhang | KAN-RCBEVDepth: A multi-modal fusion algorithm in object detection for
autonomous driving | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accurate 3D object detection in autonomous driving is critical yet
challenging due to occlusions, varying object scales, and complex urban
environments. This paper introduces the RCBEV-KAN algorithm, a pioneering
method designed to enhance 3D object detection by fusing multimodal sensor data
from cameras, LiDAR, and ... | [
{
"created": "Sun, 4 Aug 2024 16:54:49 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Aug 2024 18:18:26 GMT",
"version": "v2"
}
] | 2024-08-15 | [
[
"Lai",
"Zhihao",
""
],
[
"Liu",
"Chuanhao",
""
],
[
"Sheng",
"Shihui",
""
],
[
"Zhang",
"Zhiqiang",
""
]
] | Accurate 3D object detection in autonomous driving is critical yet challenging due to occlusions, varying object scales, and complex urban environments. This paper introduces the RCBEV-KAN algorithm, a pioneering method designed to enhance 3D object detection by fusing multimodal sensor data from cameras, LiDAR, and mi... |
2309.13952 | Antoine Yang | Antoine Yang, Arsha Nagrani, Ivan Laptev, Josef Sivic, Cordelia Schmid | VidChapters-7M: Video Chapters at Scale | Accepted at NeurIPS 2023 Track on Datasets and Benchmarks; Project
Webpage: https://antoyang.github.io/vidchapters.html ; 31 pages; 8 figures | null | null | null | cs.CV cs.AI cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Segmenting long videos into chapters enables users to quickly navigate to the
information of their interest. This important topic has been understudied due
to the lack of publicly released datasets. To address this issue, we present
VidChapters-7M, a dataset of 817K user-chaptered videos including 7M chapters
in tota... | [
{
"created": "Mon, 25 Sep 2023 08:38:11 GMT",
"version": "v1"
}
] | 2023-09-26 | [
[
"Yang",
"Antoine",
""
],
[
"Nagrani",
"Arsha",
""
],
[
"Laptev",
"Ivan",
""
],
[
"Sivic",
"Josef",
""
],
[
"Schmid",
"Cordelia",
""
]
] | Segmenting long videos into chapters enables users to quickly navigate to the information of their interest. This important topic has been understudied due to the lack of publicly released datasets. To address this issue, we present VidChapters-7M, a dataset of 817K user-chaptered videos including 7M chapters in total.... |
2302.14298 | Zikang Yuan | Zikang Yuan, Fengtian Lang, Tianle Xu, Xin Yang | LIWO: Lidar-Inertial-Wheel Odometry | 8 pages, 3 figures, has published on IROS 2023. arXiv admin note:
substantial text overlap with arXiv:2210.10424 | 2023 IEEE/RSJ International Conference on Intelligent Robots and
Systems (IROS) | 10.1109/IROS55552.2023.10342258 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | LiDAR-inertial odometry (LIO), which fuses complementary information of a
LiDAR and an Inertial Measurement Unit (IMU), is an attractive solution for
state estimation. In LIO, both pose and velocity are regarded as state
variables that need to be solved. However, the widely-used Iterative Closest
Point (ICP) algorith... | [
{
"created": "Tue, 28 Feb 2023 04:16:21 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Dec 2023 07:50:38 GMT",
"version": "v2"
}
] | 2023-12-29 | [
[
"Yuan",
"Zikang",
""
],
[
"Lang",
"Fengtian",
""
],
[
"Xu",
"Tianle",
""
],
[
"Yang",
"Xin",
""
]
] | LiDAR-inertial odometry (LIO), which fuses complementary information of a LiDAR and an Inertial Measurement Unit (IMU), is an attractive solution for state estimation. In LIO, both pose and velocity are regarded as state variables that need to be solved. However, the widely-used Iterative Closest Point (ICP) algorithm ... |
2012.07236 | Fan Lyu | Fan Lyu, Shuai Wang, Wei Feng, Zihan Ye, Fuyuan Hu, Song Wang | Multi-Domain Multi-Task Rehearsal for Lifelong Learning | Accepted by AAAI 2021 | null | null | null | cs.LG cs.AI cs.CV | http://creativecommons.org/licenses/by/4.0/ | Rehearsal, seeking to remind the model by storing old knowledge in lifelong
learning, is one of the most effective ways to mitigate catastrophic
forgetting, i.e., biased forgetting of previous knowledge when moving to new
tasks. However, the old tasks of the most previous rehearsal-based methods
suffer from the unpre... | [
{
"created": "Mon, 14 Dec 2020 03:36:25 GMT",
"version": "v1"
}
] | 2020-12-15 | [
[
"Lyu",
"Fan",
""
],
[
"Wang",
"Shuai",
""
],
[
"Feng",
"Wei",
""
],
[
"Ye",
"Zihan",
""
],
[
"Hu",
"Fuyuan",
""
],
[
"Wang",
"Song",
""
]
] | Rehearsal, seeking to remind the model by storing old knowledge in lifelong learning, is one of the most effective ways to mitigate catastrophic forgetting, i.e., biased forgetting of previous knowledge when moving to new tasks. However, the old tasks of the most previous rehearsal-based methods suffer from the unpredi... |
1901.09496 | Thomas Gebhart | Thomas Gebhart, Paul Schrater and Alan Hylton | Characterizing the Shape of Activation Space in Deep Neural Networks | null | null | null | null | cs.LG cs.CR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The representations learned by deep neural networks are difficult to
interpret in part due to their large parameter space and the complexities
introduced by their multi-layer structure. We introduce a method for computing
persistent homology over the graphical activation structure of neural networks,
which provides a... | [
{
"created": "Mon, 28 Jan 2019 03:10:56 GMT",
"version": "v1"
},
{
"created": "Thu, 30 May 2019 14:39:53 GMT",
"version": "v2"
}
] | 2019-05-31 | [
[
"Gebhart",
"Thomas",
""
],
[
"Schrater",
"Paul",
""
],
[
"Hylton",
"Alan",
""
]
] | The representations learned by deep neural networks are difficult to interpret in part due to their large parameter space and the complexities introduced by their multi-layer structure. We introduce a method for computing persistent homology over the graphical activation structure of neural networks, which provides acc... |
2102.13516 | Jim Pivarski | Jim Pivarski, Ianna Osborne, Pratyush Das, David Lange, and Peter
Elmer | AwkwardForth: accelerating Uproot with an internal DSL | 11 pages, 2 figures, submitted to the 25th International Conference
on Computing in High Energy & Nuclear Physics | null | 10.1051/epjconf/202125103002 | null | cs.PL hep-ex | http://creativecommons.org/licenses/by/4.0/ | File formats for generic data structures, such as ROOT, Avro, and Parquet,
pose a problem for deserialization: it must be fast, but its code depends on
the type of the data structure, not known at compile-time. Just-in-time
compilation can satisfy both constraints, but we propose a more portable
solution: specialized... | [
{
"created": "Wed, 24 Feb 2021 18:49:10 GMT",
"version": "v1"
}
] | 2021-09-08 | [
[
"Pivarski",
"Jim",
""
],
[
"Osborne",
"Ianna",
""
],
[
"Das",
"Pratyush",
""
],
[
"Lange",
"David",
""
],
[
"Elmer",
"Peter",
""
]
] | File formats for generic data structures, such as ROOT, Avro, and Parquet, pose a problem for deserialization: it must be fast, but its code depends on the type of the data structure, not known at compile-time. Just-in-time compilation can satisfy both constraints, but we propose a more portable solution: specialized v... |
2403.08214 | Shuangjian Li | Shuangjian Li, Tao Zhu, Mingxing Nie, Huansheng Ning, Zhenyu Liu and
Liming Chen | P2LHAP:Wearable sensor-based human activity recognition, segmentation
and forecast through Patch-to-Label Seq2Seq Transformer | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditional deep learning methods struggle to simultaneously segment,
recognize, and forecast human activities from sensor data. This limits their
usefulness in many fields such as healthcare and assisted living, where
real-time understanding of ongoing and upcoming activities is crucial. This
paper introduces P2LHAP... | [
{
"created": "Wed, 13 Mar 2024 03:23:50 GMT",
"version": "v1"
},
{
"created": "Thu, 8 Aug 2024 11:51:15 GMT",
"version": "v2"
}
] | 2024-08-09 | [
[
"Li",
"Shuangjian",
""
],
[
"Zhu",
"Tao",
""
],
[
"Nie",
"Mingxing",
""
],
[
"Ning",
"Huansheng",
""
],
[
"Liu",
"Zhenyu",
""
],
[
"Chen",
"Liming",
""
]
] | Traditional deep learning methods struggle to simultaneously segment, recognize, and forecast human activities from sensor data. This limits their usefulness in many fields such as healthcare and assisted living, where real-time understanding of ongoing and upcoming activities is crucial. This paper introduces P2LHAP, ... |
2110.07296 | Zhiqiang Wei | Zhiqiang Wei and Xianghao Yu and Derrick Wing Kwan Ng and Robert
Schober | Resource Allocation for Simultaneous Wireless Information and Power
Transfer Systems: A Tutorial Overview | 21 pages, 5 figures, To appear in Proceedings of the IEEE | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Over the last decade, simultaneous wireless information and power transfer
(SWIPT) has become a practical and promising solution for connecting and
recharging battery-limited devices, thanks to significant advances in low-power
electronics technology and wireless communications techniques. To realize the
promised pot... | [
{
"created": "Thu, 14 Oct 2021 12:04:30 GMT",
"version": "v1"
}
] | 2021-10-15 | [
[
"Wei",
"Zhiqiang",
""
],
[
"Yu",
"Xianghao",
""
],
[
"Ng",
"Derrick Wing Kwan",
""
],
[
"Schober",
"Robert",
""
]
] | Over the last decade, simultaneous wireless information and power transfer (SWIPT) has become a practical and promising solution for connecting and recharging battery-limited devices, thanks to significant advances in low-power electronics technology and wireless communications techniques. To realize the promised poten... |
2408.07545 | Harsh Poonia | Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Ze\v{c}evi\'c,
Kristian Kersting, Devendra Singh Dhami | $\chi$SPN: Characteristic Interventional Sum-Product Networks for Causal
Inference in Hybrid Domains | 17 pages, 11 figures. Accepted as poster at UAI (Uncertainty in
Artificial Intelligence) 2024 | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Causal inference in hybrid domains, characterized by a mixture of discrete
and continuous variables, presents a formidable challenge. We take a step
towards this direction and propose Characteristic Interventional Sum-Product
Network ($\chi$SPN) that is capable of estimating interventional distributions
in presence o... | [
{
"created": "Wed, 14 Aug 2024 13:31:32 GMT",
"version": "v1"
}
] | 2024-08-15 | [
[
"Poonia",
"Harsh",
""
],
[
"Willig",
"Moritz",
""
],
[
"Yu",
"Zhongjie",
""
],
[
"Zečević",
"Matej",
""
],
[
"Kersting",
"Kristian",
""
],
[
"Dhami",
"Devendra Singh",
""
]
] | Causal inference in hybrid domains, characterized by a mixture of discrete and continuous variables, presents a formidable challenge. We take a step towards this direction and propose Characteristic Interventional Sum-Product Network ($\chi$SPN) that is capable of estimating interventional distributions in presence of ... |
2306.07205 | Marta Lagomarsino | Marta Lagomarsino, Marta Lorenzini, Merryn Dale Constable, Elena De
Momi, Cristina Becchio, Arash Ajoudani | Maximising Coefficiency of Human-Robot Handovers through Reinforcement
Learning | 8 pages, 6 figures, IEEE Robotics and Automation Letters | null | 10.1109/LRA.2023.3280752 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Handing objects to humans is an essential capability for collaborative
robots. Previous research works on human-robot handovers focus on facilitating
the performance of the human partner and possibly minimising the physical
effort needed to grasp the object. However, altruistic robot behaviours may
result in protract... | [
{
"created": "Mon, 12 Jun 2023 16:09:17 GMT",
"version": "v1"
}
] | 2023-06-13 | [
[
"Lagomarsino",
"Marta",
""
],
[
"Lorenzini",
"Marta",
""
],
[
"Constable",
"Merryn Dale",
""
],
[
"De Momi",
"Elena",
""
],
[
"Becchio",
"Cristina",
""
],
[
"Ajoudani",
"Arash",
""
]
] | Handing objects to humans is an essential capability for collaborative robots. Previous research works on human-robot handovers focus on facilitating the performance of the human partner and possibly minimising the physical effort needed to grasp the object. However, altruistic robot behaviours may result in protracted... |
2110.11006 | Joost Verbraeken | Joost Verbraeken, Martijn de Vos, Johan Pouwelse | Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d.
Environments | null | null | null | null | cs.DC cs.LG | http://creativecommons.org/licenses/by/4.0/ | Federated learning (FL) is a privacy-friendly type of machine learning where
devices locally train a model on their private data and typically communicate
model updates with a server. In decentralized FL (DFL), peers communicate model
updates with each other instead. However, DFL is challenging since (1) the
training... | [
{
"created": "Thu, 21 Oct 2021 09:20:48 GMT",
"version": "v1"
}
] | 2021-10-22 | [
[
"Verbraeken",
"Joost",
""
],
[
"de Vos",
"Martijn",
""
],
[
"Pouwelse",
"Johan",
""
]
] | Federated learning (FL) is a privacy-friendly type of machine learning where devices locally train a model on their private data and typically communicate model updates with a server. In decentralized FL (DFL), peers communicate model updates with each other instead. However, DFL is challenging since (1) the training d... |
2001.04348 | Christine Bauer | Christine Bauer and Eva Zangerle | Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings | 3 pages, ImpactRS 2019, Copenhagen, Denmark | 1st Workshop on the Impact of Recommender Systems (ImpactRS 2019),
co-located with 13th ACM Conference on Recommender Systems (ACM RecSys 2019),
ceur-ws.org, Vol 2462, Short 3 | null | null | cs.IR | http://creativecommons.org/licenses/by/4.0/ | In this paper, we focus on recommendation settings with multiple stakeholders
with possibly varying goals and interests, and argue that a single evaluation
method or measure is not able to evaluate all relevant aspects in such a
complex setting. We reason that employing a multi-method evaluation, where
multiple evalu... | [
{
"created": "Sat, 14 Dec 2019 21:45:28 GMT",
"version": "v1"
}
] | 2020-01-14 | [
[
"Bauer",
"Christine",
""
],
[
"Zangerle",
"Eva",
""
]
] | In this paper, we focus on recommendation settings with multiple stakeholders with possibly varying goals and interests, and argue that a single evaluation method or measure is not able to evaluate all relevant aspects in such a complex setting. We reason that employing a multi-method evaluation, where multiple evaluat... |
2405.19623 | Zitian Yang | Jiuang Zhao, Zitian Yang, Li Zhang, Xiaoli Lian and Donghao Yang | A Novel Approach for Automated Design Information Mining from Issue Logs | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Software architectures are usually meticulously designed to address multiple
quality concerns and support long-term maintenance. However, due to the
imbalance between the cost and value for developers to document design
rationales (i.e., the design alternatives and the underlying arguments for
making or rejecting dec... | [
{
"created": "Thu, 30 May 2024 02:20:04 GMT",
"version": "v1"
}
] | 2024-05-31 | [
[
"Zhao",
"Jiuang",
""
],
[
"Yang",
"Zitian",
""
],
[
"Zhang",
"Li",
""
],
[
"Lian",
"Xiaoli",
""
],
[
"Yang",
"Donghao",
""
]
] | Software architectures are usually meticulously designed to address multiple quality concerns and support long-term maintenance. However, due to the imbalance between the cost and value for developers to document design rationales (i.e., the design alternatives and the underlying arguments for making or rejecting decis... |
2006.09437 | Vincent Marois | Tim Klinger, Dhaval Adjodah, Vincent Marois, Josh Joseph, Matthew
Riemer, Alex 'Sandy' Pentland, Murray Campbell | A Study of Compositional Generalization in Neural Models | 28 pages | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Compositional and relational learning is a hallmark of human intelligence,
but one which presents challenges for neural models. One difficulty in the
development of such models is the lack of benchmarks with clear compositional
and relational task structure on which to systematically evaluate them. In this
paper, we ... | [
{
"created": "Tue, 16 Jun 2020 18:29:58 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Jul 2020 15:50:41 GMT",
"version": "v2"
}
] | 2020-07-09 | [
[
"Klinger",
"Tim",
""
],
[
"Adjodah",
"Dhaval",
""
],
[
"Marois",
"Vincent",
""
],
[
"Joseph",
"Josh",
""
],
[
"Riemer",
"Matthew",
""
],
[
"Pentland",
"Alex 'Sandy'",
""
],
[
"Campbell",
"Murray",
""
]
] | Compositional and relational learning is a hallmark of human intelligence, but one which presents challenges for neural models. One difficulty in the development of such models is the lack of benchmarks with clear compositional and relational task structure on which to systematically evaluate them. In this paper, we in... |
2312.16490 | Zhengjia Wang | Zhengjia Wang, Danding Wang, Qiang Sheng, Juan Cao, Silong Su, Yifan
Sun, Beizhe Hu, Siyuan Ma | Understanding News Creation Intents: Frame, Dataset, and Method | null | null | null | null | cs.CL cs.AI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As the disruptive changes in the media economy and the proliferation of
alternative news media outlets, news intent has progressively deviated from
ethical standards that serve the public interest. News intent refers to the
purpose or intention behind the creation of a news article. While the
significance of research... | [
{
"created": "Wed, 27 Dec 2023 09:35:23 GMT",
"version": "v1"
}
] | 2023-12-29 | [
[
"Wang",
"Zhengjia",
""
],
[
"Wang",
"Danding",
""
],
[
"Sheng",
"Qiang",
""
],
[
"Cao",
"Juan",
""
],
[
"Su",
"Silong",
""
],
[
"Sun",
"Yifan",
""
],
[
"Hu",
"Beizhe",
""
],
[
"Ma",
"Siyuan",
... | As the disruptive changes in the media economy and the proliferation of alternative news media outlets, news intent has progressively deviated from ethical standards that serve the public interest. News intent refers to the purpose or intention behind the creation of a news article. While the significance of research o... |
2206.11473 | Ali Borji | Ali Borji | Complementary datasets to COCO for object detection | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | For nearly a decade, the COCO dataset has been the central test bed of
research in object detection. According to the recent benchmarks, however, it
seems that performance on this dataset has started to saturate. One possible
reason can be that perhaps it is not large enough for training deep models. To
address this ... | [
{
"created": "Thu, 23 Jun 2022 04:03:32 GMT",
"version": "v1"
}
] | 2022-06-24 | [
[
"Borji",
"Ali",
""
]
] | For nearly a decade, the COCO dataset has been the central test bed of research in object detection. According to the recent benchmarks, however, it seems that performance on this dataset has started to saturate. One possible reason can be that perhaps it is not large enough for training deep models. To address this li... |
2208.00778 | Artur M Schweidtmann | Gabriel Vogel, Lukas Schulze Balhorn, Edwin Hirtreiter, Artur M.
Schweidtmann | SFILES 2.0: An extended text-based flowsheet representation | null | Optim Eng, Volume 24, pages 2911-2933, (2023) | 10.1007/s11081-023-09798-9 | null | cs.DB cs.LG q-bio.QM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | SFILES is a text-based notation for chemical process flowsheets. It was
originally proposed by d'Anterroches (2006) who was inspired by the text-based
SMILES notation for molecules. The text-based format has several advantages
compared to flowsheet images regarding the storage format, computational
accessibility, and... | [
{
"created": "Mon, 25 Jul 2022 16:14:43 GMT",
"version": "v1"
}
] | 2024-01-17 | [
[
"Vogel",
"Gabriel",
""
],
[
"Balhorn",
"Lukas Schulze",
""
],
[
"Hirtreiter",
"Edwin",
""
],
[
"Schweidtmann",
"Artur M.",
""
]
] | SFILES is a text-based notation for chemical process flowsheets. It was originally proposed by d'Anterroches (2006) who was inspired by the text-based SMILES notation for molecules. The text-based format has several advantages compared to flowsheet images regarding the storage format, computational accessibility, and e... |
1707.03608 | Haifeng Li | Xin Lin, Haifeng Li, Yan Zhang, Lei Gao, Ling Zhao, Min Deng | A Probabilistic Embedding Clustering Method for Urban Structure
Detection | 6 pages, 7 figures, ICSDM2017 | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Urban structure detection is a basic task in urban geography. Clustering is a
core technology to detect the patterns of urban spatial structure, urban
functional region, and so on. In big data era, diverse urban sensing datasets
recording information like human behaviour and human social activity, suffer
from complex... | [
{
"created": "Wed, 12 Jul 2017 09:11:58 GMT",
"version": "v1"
}
] | 2017-07-13 | [
[
"Lin",
"Xin",
""
],
[
"Li",
"Haifeng",
""
],
[
"Zhang",
"Yan",
""
],
[
"Gao",
"Lei",
""
],
[
"Zhao",
"Ling",
""
],
[
"Deng",
"Min",
""
]
] | Urban structure detection is a basic task in urban geography. Clustering is a core technology to detect the patterns of urban spatial structure, urban functional region, and so on. In big data era, diverse urban sensing datasets recording information like human behaviour and human social activity, suffer from complexit... |
1407.3176 | Awais Mansoor | Awais Mansoor, Ulas Bagci, Brent Foster, Ziyue Xu, Deborah Douglas,
Jeffrey M. Solomon, Jayaram K. Udupa, Daniel J. Mollura | CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation
of Lungs from CT Scans | 4 pages, 6 figures; to appear in the proceedings of 36th Annual
International Conference of the IEEE Engineering in Medicine and Biology
Society (EMBC 2014) | null | 10.1109/EMBC.2014.6943783 | null | cs.CV | http://creativecommons.org/licenses/publicdomain/ | Accurate and fast extraction of lung volumes from computed tomography (CT)
scans remains in a great demand in the clinical environment because the
available methods fail to provide a generic solution due to wide anatomical
variations of lungs and existence of pathologies. Manual annotation, current
gold standard, is ... | [
{
"created": "Fri, 11 Jul 2014 14:41:27 GMT",
"version": "v1"
}
] | 2016-11-15 | [
[
"Mansoor",
"Awais",
""
],
[
"Bagci",
"Ulas",
""
],
[
"Foster",
"Brent",
""
],
[
"Xu",
"Ziyue",
""
],
[
"Douglas",
"Deborah",
""
],
[
"Solomon",
"Jeffrey M.",
""
],
[
"Udupa",
"Jayaram K.",
""
],
[
"... | Accurate and fast extraction of lung volumes from computed tomography (CT) scans remains in a great demand in the clinical environment because the available methods fail to provide a generic solution due to wide anatomical variations of lungs and existence of pathologies. Manual annotation, current gold standard, is ti... |
2004.09645 | Sergio Palomo | Sergio Palomo and Jamol Pender and William Massey and Robert C.
Hampshire | Flattening the Curve: Insights From Queueing Theory | 27 pages, 23 figures | null | null | null | cs.PF math.DS math.PR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The worldwide outbreak of the coronavirus was first identified in 2019 in
Wuhan, China. Since then, the disease has spread worldwide. As it currently
spreading in the United States, policy makers, public health officials and
citizens are racing to understand the impact of this virus on the United States
healthcare sy... | [
{
"created": "Mon, 20 Apr 2020 21:28:30 GMT",
"version": "v1"
}
] | 2020-04-22 | [
[
"Palomo",
"Sergio",
""
],
[
"Pender",
"Jamol",
""
],
[
"Massey",
"William",
""
],
[
"Hampshire",
"Robert C.",
""
]
] | The worldwide outbreak of the coronavirus was first identified in 2019 in Wuhan, China. Since then, the disease has spread worldwide. As it currently spreading in the United States, policy makers, public health officials and citizens are racing to understand the impact of this virus on the United States healthcare syst... |
2209.09526 | Thien Van Luong Dr | Toan Gian, Vu-Duc Ngo, Tien-Hoa Nguyen, Trung Tan Nguyen, and Thien
Van Luong | Deep Neural Network-Based Detector for Single-Carrier Index Modulation
NOMA | null | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by/4.0/ | In this paper, a deep neural network (DNN)-based detector for an uplink
single-carrier index modulation nonorthogonal multiple access (SC-IM-NOMA)
system is proposed, where SC-IM-NOMA allows users to use the same set of
subcarriers for transmitting their data modulated by the sub-carrier index
modulation technique. M... | [
{
"created": "Tue, 20 Sep 2022 07:46:51 GMT",
"version": "v1"
}
] | 2022-09-21 | [
[
"Gian",
"Toan",
""
],
[
"Ngo",
"Vu-Duc",
""
],
[
"Nguyen",
"Tien-Hoa",
""
],
[
"Nguyen",
"Trung Tan",
""
],
[
"Van Luong",
"Thien",
""
]
] | In this paper, a deep neural network (DNN)-based detector for an uplink single-carrier index modulation nonorthogonal multiple access (SC-IM-NOMA) system is proposed, where SC-IM-NOMA allows users to use the same set of subcarriers for transmitting their data modulated by the sub-carrier index modulation technique. Mor... |
2210.10325 | Chenghao Yang | Chenghao Yang, Xuezhe Ma | Improving Stability of Fine-Tuning Pretrained Language Models via
Component-Wise Gradient Norm Clipping | EMNLP 2022 Camera Ready | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Fine-tuning over large pretrained language models (PLMs) has established many
state-of-the-art results. Despite its superior performance, such fine-tuning
can be unstable, resulting in significant variance in performance and potential
risks for practical applications. Previous works have attributed such
instability t... | [
{
"created": "Wed, 19 Oct 2022 06:44:20 GMT",
"version": "v1"
}
] | 2022-10-20 | [
[
"Yang",
"Chenghao",
""
],
[
"Ma",
"Xuezhe",
""
]
] | Fine-tuning over large pretrained language models (PLMs) has established many state-of-the-art results. Despite its superior performance, such fine-tuning can be unstable, resulting in significant variance in performance and potential risks for practical applications. Previous works have attributed such instability to ... |
2311.18220 | Shenggen Zheng | Shenggen Zheng, Yaqiao Li, Minghua Pan, Jozef Gruska, Lvzhou Li | Lifting query complexity to time-space complexity for two-way finite
automata | null | null | null | null | cs.CC | http://creativecommons.org/licenses/by/4.0/ | Time-space tradeoff has been studied in a variety of models, such as Turing
machines, branching programs, and finite automata, etc. While communication
complexity as a technique has been applied to study finite automata, it seems
it has not been used to study time-space tradeoffs of finite automata. We
design a new t... | [
{
"created": "Thu, 30 Nov 2023 03:31:01 GMT",
"version": "v1"
}
] | 2023-12-01 | [
[
"Zheng",
"Shenggen",
""
],
[
"Li",
"Yaqiao",
""
],
[
"Pan",
"Minghua",
""
],
[
"Gruska",
"Jozef",
""
],
[
"Li",
"Lvzhou",
""
]
] | Time-space tradeoff has been studied in a variety of models, such as Turing machines, branching programs, and finite automata, etc. While communication complexity as a technique has been applied to study finite automata, it seems it has not been used to study time-space tradeoffs of finite automata. We design a new tec... |
2307.06942 | Yi Wang | Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao
Li, Guo Chen, Xinyuan Chen, Yaohui Wang, Conghui He, Ping Luo, Ziwei Liu,
Yali Wang, Limin Wang, Yu Qiao | InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding
and Generation | Data and Code:
https://github.com/OpenGVLab/InternVideo/tree/main/Data/InternVid | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper introduces InternVid, a large-scale video-centric multimodal
dataset that enables learning powerful and transferable video-text
representations for multimodal understanding and generation. The InternVid
dataset contains over 7 million videos lasting nearly 760K hours, yielding 234M
video clips accompanied ... | [
{
"created": "Thu, 13 Jul 2023 17:58:32 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Jan 2024 05:00:34 GMT",
"version": "v2"
}
] | 2024-01-05 | [
[
"Wang",
"Yi",
""
],
[
"He",
"Yinan",
""
],
[
"Li",
"Yizhuo",
""
],
[
"Li",
"Kunchang",
""
],
[
"Yu",
"Jiashuo",
""
],
[
"Ma",
"Xin",
""
],
[
"Li",
"Xinhao",
""
],
[
"Chen",
"Guo",
""
],
... | This paper introduces InternVid, a large-scale video-centric multimodal dataset that enables learning powerful and transferable video-text representations for multimodal understanding and generation. The InternVid dataset contains over 7 million videos lasting nearly 760K hours, yielding 234M video clips accompanied by... |
1106.5174 | Dmitry Zinoviev | Dmitry Zinoviev and Vy Duong | A Game Theoretical Approach to Broadcast Information Diffusion in Social
Networks | 6 pages, 3 figures, presented at ANSS-2011 (Boston, MA) | null | null | null | cs.SI cs.GT physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One major function of social networks (e.g., massive online social networks)
is the dissemination of information, such as scientific knowledge, news, and
rumors. Information can be propagated by the users of the network via natural
connections in written, oral or electronic form. The information passing from a
sender... | [
{
"created": "Sat, 25 Jun 2011 21:30:42 GMT",
"version": "v1"
}
] | 2011-06-28 | [
[
"Zinoviev",
"Dmitry",
""
],
[
"Duong",
"Vy",
""
]
] | One major function of social networks (e.g., massive online social networks) is the dissemination of information, such as scientific knowledge, news, and rumors. Information can be propagated by the users of the network via natural connections in written, oral or electronic form. The information passing from a sender t... |
2304.08556 | Shweta Ann Jacob | Shweta Ann Jacob, Paul Louis and Amirali Salehi-Abari | Stochastic Subgraph Neighborhood Pooling for Subgraph Classification | null | null | null | null | cs.LG cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Subgraph classification is an emerging field in graph representation learning
where the task is to classify a group of nodes (i.e., a subgraph) within a
graph. Subgraph classification has applications such as predicting the cellular
function of a group of proteins or identifying rare diseases given a collection
of ph... | [
{
"created": "Mon, 17 Apr 2023 18:49:18 GMT",
"version": "v1"
}
] | 2023-04-19 | [
[
"Jacob",
"Shweta Ann",
""
],
[
"Louis",
"Paul",
""
],
[
"Salehi-Abari",
"Amirali",
""
]
] | Subgraph classification is an emerging field in graph representation learning where the task is to classify a group of nodes (i.e., a subgraph) within a graph. Subgraph classification has applications such as predicting the cellular function of a group of proteins or identifying rare diseases given a collection of phen... |
2309.10248 | Jordan Voas | Jordan Voas, Yili Wang, Qixing Huang, and Raymond Mooney | What is the Best Automated Metric for Text to Motion Generation? | 8 pages, SIGGRAPH Asia 2023 Conference | null | 10.1145/3588432.3591550 | null | cs.CL cs.GR cs.LG | http://creativecommons.org/licenses/by/4.0/ | There is growing interest in generating skeleton-based human motions from
natural language descriptions. While most efforts have focused on developing
better neural architectures for this task, there has been no significant work
on determining the proper evaluation metric. Human evaluation is the ultimate
accuracy me... | [
{
"created": "Tue, 19 Sep 2023 01:59:54 GMT",
"version": "v1"
}
] | 2023-09-20 | [
[
"Voas",
"Jordan",
""
],
[
"Wang",
"Yili",
""
],
[
"Huang",
"Qixing",
""
],
[
"Mooney",
"Raymond",
""
]
] | There is growing interest in generating skeleton-based human motions from natural language descriptions. While most efforts have focused on developing better neural architectures for this task, there has been no significant work on determining the proper evaluation metric. Human evaluation is the ultimate accuracy meas... |
1912.05899 | Diederick Vermetten | Diederick Vermetten, Hao Wang, Carola Doerr, Thomas B\"ack | Sequential vs. Integrated Algorithm Selection and Configuration: A Case
Study for the Modular CMA-ES | null | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When faced with a specific optimization problem, choosing which algorithm to
use is always a tough task. Not only is there a vast variety of algorithms to
select from, but these algorithms often are controlled by many hyperparameters,
which need to be tuned in order to achieve the best performance possible.
Usually, ... | [
{
"created": "Thu, 12 Dec 2019 12:47:48 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Jan 2020 14:23:26 GMT",
"version": "v2"
}
] | 2020-01-07 | [
[
"Vermetten",
"Diederick",
""
],
[
"Wang",
"Hao",
""
],
[
"Doerr",
"Carola",
""
],
[
"Bäck",
"Thomas",
""
]
] | When faced with a specific optimization problem, choosing which algorithm to use is always a tough task. Not only is there a vast variety of algorithms to select from, but these algorithms often are controlled by many hyperparameters, which need to be tuned in order to achieve the best performance possible. Usually, th... |
2110.10586 | Qianqian Li | Xiaoming Dai, Tiantian Yan, Qianqian Li, Hua Li and Xiyuan Wang | Pattern Division Random Access (PDRA) for M2M Communications with
Massive MIMO Systems | null | null | null | null | cs.IT cs.SC math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we introduce the pattern-domain pilot design paradigm based on
a "superposition of orthogonal-building-blocks" with significantly larger
contention space to enhance the massive machine-type communications (mMTC)
random access (RA) performance in massive multiple-input multiple-output (MIMO)
systems.Spec... | [
{
"created": "Wed, 20 Oct 2021 14:28:53 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Nov 2021 13:25:29 GMT",
"version": "v2"
}
] | 2021-11-18 | [
[
"Dai",
"Xiaoming",
""
],
[
"Yan",
"Tiantian",
""
],
[
"Li",
"Qianqian",
""
],
[
"Li",
"Hua",
""
],
[
"Wang",
"Xiyuan",
""
]
] | In this work, we introduce the pattern-domain pilot design paradigm based on a "superposition of orthogonal-building-blocks" with significantly larger contention space to enhance the massive machine-type communications (mMTC) random access (RA) performance in massive multiple-input multiple-output (MIMO) systems.Specif... |
2407.18488 | Shuhua Yang | Shuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang, Hong Zhang,
Huazheng Wang | Conversational Dueling Bandits in Generalized Linear Models | null | null | 10.1145/3637528.3671892 | null | cs.LG cs.IT math.IT stat.ML | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Conversational recommendation systems elicit user preferences by interacting
with users to obtain their feedback on recommended commodities. Such systems
utilize a multi-armed bandit framework to learn user preferences in an online
manner and have received great success in recent years. However, existing
conversation... | [
{
"created": "Fri, 26 Jul 2024 03:43:10 GMT",
"version": "v1"
}
] | 2024-07-29 | [
[
"Yang",
"Shuhua",
""
],
[
"Yuan",
"Hui",
""
],
[
"Zhang",
"Xiaoying",
""
],
[
"Wang",
"Mengdi",
""
],
[
"Zhang",
"Hong",
""
],
[
"Wang",
"Huazheng",
""
]
] | Conversational recommendation systems elicit user preferences by interacting with users to obtain their feedback on recommended commodities. Such systems utilize a multi-armed bandit framework to learn user preferences in an online manner and have received great success in recent years. However, existing conversational... |
2112.11155 | Mehrdad Abdi | Ebert Schoofs, Mehrdad Abdi, Serge Demeyer | AmPyfier: Test Amplification in Python | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Test Amplification is a method to extend handwritten tests into a more
rigorous test suite covering corner cases in the system under test.
Unfortunately, the current state-of-the-art for test amplification heavily
relies on program analysis techniques which benefit a lot from explicit type
declarations present in sta... | [
{
"created": "Tue, 21 Dec 2021 12:50:18 GMT",
"version": "v1"
}
] | 2021-12-22 | [
[
"Schoofs",
"Ebert",
""
],
[
"Abdi",
"Mehrdad",
""
],
[
"Demeyer",
"Serge",
""
]
] | Test Amplification is a method to extend handwritten tests into a more rigorous test suite covering corner cases in the system under test. Unfortunately, the current state-of-the-art for test amplification heavily relies on program analysis techniques which benefit a lot from explicit type declarations present in stati... |
2406.06086 | Yujie Chen | Yujie Chen, Jiangyan Yi, Jun Xue, Chenglong Wang, Xiaohui Zhang,
Shunbo Dong, Siding Zeng, Jianhua Tao, Lv Zhao, Cunhang Fan | RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake
Detection | Accepted by Interspeech 2024 | null | null | null | cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | Fake artefacts for discriminating between bonafide and fake audio can exist
in both short- and long-range segments. Therefore, combining local and global
feature information can effectively discriminate between bonafide and fake
audio. This paper proposes an end-to-end bidirectional state space model, named
RawBMamba... | [
{
"created": "Mon, 10 Jun 2024 08:13:42 GMT",
"version": "v1"
},
{
"created": "Tue, 18 Jun 2024 10:20:34 GMT",
"version": "v2"
}
] | 2024-06-19 | [
[
"Chen",
"Yujie",
""
],
[
"Yi",
"Jiangyan",
""
],
[
"Xue",
"Jun",
""
],
[
"Wang",
"Chenglong",
""
],
[
"Zhang",
"Xiaohui",
""
],
[
"Dong",
"Shunbo",
""
],
[
"Zeng",
"Siding",
""
],
[
"Tao",
"Jian... | Fake artefacts for discriminating between bonafide and fake audio can exist in both short- and long-range segments. Therefore, combining local and global feature information can effectively discriminate between bonafide and fake audio. This paper proposes an end-to-end bidirectional state space model, named RawBMamba, ... |
2012.14320 | Yian Li | Yian Li, Hai Zhao | BURT: BERT-inspired Universal Representation from Learning Meaningful
Segment | arXiv admin note: text overlap with arXiv:2009.04656 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although pre-trained contextualized language models such as BERT achieve
significant performance on various downstream tasks, current language
representation still only focuses on linguistic objective at a specific
granularity, which may not applicable when multiple levels of linguistic units
are involved at the same... | [
{
"created": "Mon, 28 Dec 2020 16:02:28 GMT",
"version": "v1"
},
{
"created": "Thu, 31 Dec 2020 09:56:21 GMT",
"version": "v2"
}
] | 2021-01-01 | [
[
"Li",
"Yian",
""
],
[
"Zhao",
"Hai",
""
]
] | Although pre-trained contextualized language models such as BERT achieve significant performance on various downstream tasks, current language representation still only focuses on linguistic objective at a specific granularity, which may not applicable when multiple levels of linguistic units are involved at the same t... |
1811.05471 | Marius Beul | Marius Beul, Matthias Nieuwenhuisen, Jan Quenzel, Radu Alexandru Rosu,
Jannis Horn, Dmytro Pavlichenko, Sebastian Houben, Sven Behnke | Team NimbRo at MBZIRC 2017: Fast Landing on a Moving Target and Treasure
Hunting with a Team of MAVs | null | Journal of Field Robotics (JFR) 36(1):204-229, Wiley, January 2019 | 10.1002/rob.21817 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2017 has
defined ambitious new benchmarks to advance the state-of-the-art in autonomous
operation of ground-based and flying robots. This article covers our approaches
to solve the two challenges that involved micro aerial vehicles (MAV).
Challenge 1 req... | [
{
"created": "Tue, 13 Nov 2018 14:30:19 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Nov 2018 14:36:43 GMT",
"version": "v2"
},
{
"created": "Wed, 2 Jan 2019 09:43:32 GMT",
"version": "v3"
}
] | 2019-01-03 | [
[
"Beul",
"Marius",
""
],
[
"Nieuwenhuisen",
"Matthias",
""
],
[
"Quenzel",
"Jan",
""
],
[
"Rosu",
"Radu Alexandru",
""
],
[
"Horn",
"Jannis",
""
],
[
"Pavlichenko",
"Dmytro",
""
],
[
"Houben",
"Sebastian",
"... | The Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2017 has defined ambitious new benchmarks to advance the state-of-the-art in autonomous operation of ground-based and flying robots. This article covers our approaches to solve the two challenges that involved micro aerial vehicles (MAV). Challenge 1 requi... |
1510.00098 | Michael Xie | Michael Xie, Neal Jean, Marshall Burke, David Lobell, Stefano Ermon | Transfer Learning from Deep Features for Remote Sensing and Poverty
Mapping | In Proc. 30th AAAI Conference on Artificial Intelligence | null | null | null | cs.CV cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The lack of reliable data in developing countries is a major obstacle to
sustainable development, food security, and disaster relief. Poverty data, for
example, is typically scarce, sparse in coverage, and labor-intensive to
obtain. Remote sensing data such as high-resolution satellite imagery, on the
other hand, is ... | [
{
"created": "Thu, 1 Oct 2015 03:04:29 GMT",
"version": "v1"
},
{
"created": "Sat, 27 Feb 2016 23:21:48 GMT",
"version": "v2"
}
] | 2016-03-01 | [
[
"Xie",
"Michael",
""
],
[
"Jean",
"Neal",
""
],
[
"Burke",
"Marshall",
""
],
[
"Lobell",
"David",
""
],
[
"Ermon",
"Stefano",
""
]
] | The lack of reliable data in developing countries is a major obstacle to sustainable development, food security, and disaster relief. Poverty data, for example, is typically scarce, sparse in coverage, and labor-intensive to obtain. Remote sensing data such as high-resolution satellite imagery, on the other hand, is be... |
2109.12445 | Haifeng Xu | Chenghan Zhou and Thanh H. Nguyen and Haifeng Xu | Algorithmic Information Design in Multi-Player Games: Possibility and
Limits in Singleton Congestion | Accepted to EC'22 | null | null | null | cs.GT cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most algorithmic studies on multi-agent information design so far have
focused on the restricted situation with no inter-agent externalities; a few
exceptions investigated truly strategic games such as zero-sum games and
second-price auctions but have all focused only on optimal public signaling.
This paper initiates... | [
{
"created": "Sat, 25 Sep 2021 22:02:32 GMT",
"version": "v1"
},
{
"created": "Sat, 6 Nov 2021 15:57:31 GMT",
"version": "v2"
},
{
"created": "Mon, 5 Sep 2022 17:36:21 GMT",
"version": "v3"
}
] | 2022-09-07 | [
[
"Zhou",
"Chenghan",
""
],
[
"Nguyen",
"Thanh H.",
""
],
[
"Xu",
"Haifeng",
""
]
] | Most algorithmic studies on multi-agent information design so far have focused on the restricted situation with no inter-agent externalities; a few exceptions investigated truly strategic games such as zero-sum games and second-price auctions but have all focused only on optimal public signaling. This paper initiates t... |
2207.10341 | Teng Xi | Teng Xi, Yifan Sun, Deli Yu, Bi Li, Nan Peng, Gang Zhang, Xinyu Zhang,
Zhigang Wang, Jinwen Chen, Jian Wang, Lufei Liu, Haocheng Feng, Junyu Han,
Jingtuo Liu, Errui Ding and Jingdong Wang | UFO: Unified Feature Optimization | Accepted in ECCV 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a novel Unified Feature Optimization (UFO) paradigm for
training and deploying deep models under real-world and large-scale scenarios,
which requires a collection of multiple AI functions. UFO aims to benefit each
single task with a large-scale pretraining on all tasks. Compared with the well
know... | [
{
"created": "Thu, 21 Jul 2022 07:34:06 GMT",
"version": "v1"
}
] | 2022-07-22 | [
[
"Xi",
"Teng",
""
],
[
"Sun",
"Yifan",
""
],
[
"Yu",
"Deli",
""
],
[
"Li",
"Bi",
""
],
[
"Peng",
"Nan",
""
],
[
"Zhang",
"Gang",
""
],
[
"Zhang",
"Xinyu",
""
],
[
"Wang",
"Zhigang",
""
],
... | This paper proposes a novel Unified Feature Optimization (UFO) paradigm for training and deploying deep models under real-world and large-scale scenarios, which requires a collection of multiple AI functions. UFO aims to benefit each single task with a large-scale pretraining on all tasks. Compared with the well known ... |
2405.06578 | Nathan Ludlow | Nathan Ludlow, Yiwei Lyu, and John Dolan | Hierarchical Learned Risk-Aware Planning Framework for Human Driving
Modeling | 7 pages, 5 figures, accepted to the 2024 IEEE International
Conference on Robotics and Automation (ICRA 2024) | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | This paper presents a novel approach to modeling human driving behavior,
designed for use in evaluating autonomous vehicle control systems in a
simulation environments. Our methodology leverages a hierarchical
forward-looking, risk-aware estimation framework with learned parameters to
generate human-like driving traj... | [
{
"created": "Fri, 10 May 2024 16:33:57 GMT",
"version": "v1"
}
] | 2024-05-13 | [
[
"Ludlow",
"Nathan",
""
],
[
"Lyu",
"Yiwei",
""
],
[
"Dolan",
"John",
""
]
] | This paper presents a novel approach to modeling human driving behavior, designed for use in evaluating autonomous vehicle control systems in a simulation environments. Our methodology leverages a hierarchical forward-looking, risk-aware estimation framework with learned parameters to generate human-like driving trajec... |
2006.07512 | Lingjiao Chen | Lingjiao Chen, Matei Zaharia, James Zou | FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply | null | null | null | null | cs.LG cs.GT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Prediction APIs offered for a fee are a fast-growing industry and an
important part of machine learning as a service. While many such services are
available, the heterogeneity in their price and performance makes it
challenging for users to decide which API or combination of APIs to use for
their own data and budget.... | [
{
"created": "Fri, 12 Jun 2020 23:43:23 GMT",
"version": "v1"
}
] | 2020-06-16 | [
[
"Chen",
"Lingjiao",
""
],
[
"Zaharia",
"Matei",
""
],
[
"Zou",
"James",
""
]
] | Prediction APIs offered for a fee are a fast-growing industry and an important part of machine learning as a service. While many such services are available, the heterogeneity in their price and performance makes it challenging for users to decide which API or combination of APIs to use for their own data and budget. W... |
2201.00504 | Soumendu Chakraborty | Soumendu Chakraborty, Satish Kumar Singh, and Pavan Chakraborty | R-Theta Local Neighborhood Pattern for Unconstrained Facial Image
Recognition and Retrieval | null | null | 10.1007/s11042-018-6846-z | null | cs.CV cs.MM | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In this paper R-Theta Local Neighborhood Pattern (RTLNP) is proposed for
facial image retrieval. RTLNP exploits relationships amongst the pixels in
local neighborhood of the reference pixel at different angular and radial
widths. The proposed encoding scheme divides the local neighborhood into
sectors of equal angula... | [
{
"created": "Mon, 3 Jan 2022 07:39:23 GMT",
"version": "v1"
}
] | 2022-01-04 | [
[
"Chakraborty",
"Soumendu",
""
],
[
"Singh",
"Satish Kumar",
""
],
[
"Chakraborty",
"Pavan",
""
]
] | In this paper R-Theta Local Neighborhood Pattern (RTLNP) is proposed for facial image retrieval. RTLNP exploits relationships amongst the pixels in local neighborhood of the reference pixel at different angular and radial widths. The proposed encoding scheme divides the local neighborhood into sectors of equal angular ... |
2107.07837 | Runde Li | Runde Li | Progressive Deep Video Dehazing without Explicit Alignment Estimation | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | To solve the issue of video dehazing, there are two main tasks to attain: how
to align adjacent frames to the reference frame; how to restore the reference
frame. Some papers adopt explicit approaches (e.g., the Markov random field,
optical flow, deformable convolution, 3D convolution) to align neighboring
frames wit... | [
{
"created": "Fri, 16 Jul 2021 11:57:40 GMT",
"version": "v1"
}
] | 2021-07-19 | [
[
"Li",
"Runde",
""
]
] | To solve the issue of video dehazing, there are two main tasks to attain: how to align adjacent frames to the reference frame; how to restore the reference frame. Some papers adopt explicit approaches (e.g., the Markov random field, optical flow, deformable convolution, 3D convolution) to align neighboring frames with ... |
1501.01819 | George Manoussakis | George Manoussakis | New algorithms for $k$-degenerate graphs | there are errors in the proofs | null | null | null | cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A graph is $k$-degenerate if any induced subgraph has a vertex of degree at
most $k$. In this paper we prove new algorithms for cliques and similar
structures for these graphs. We design linear time Fixed-Parameter Tractable
algorithms for induced and non induced bicliques. We prove an algorithm listing
all maximal b... | [
{
"created": "Thu, 8 Jan 2015 12:36:42 GMT",
"version": "v1"
},
{
"created": "Wed, 4 Feb 2015 17:49:06 GMT",
"version": "v2"
},
{
"created": "Mon, 15 Jun 2015 12:54:01 GMT",
"version": "v3"
},
{
"created": "Mon, 4 Apr 2016 13:52:12 GMT",
"version": "v4"
},
{
"crea... | 2017-09-21 | [
[
"Manoussakis",
"George",
""
]
] | A graph is $k$-degenerate if any induced subgraph has a vertex of degree at most $k$. In this paper we prove new algorithms for cliques and similar structures for these graphs. We design linear time Fixed-Parameter Tractable algorithms for induced and non induced bicliques. We prove an algorithm listing all maximal bic... |
1908.11348 | Albert Reuther PhD | Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally,
Siddharth Samsi and Jeremy Kepner | Survey and Benchmarking of Machine Learning Accelerators | 9 pages, 3 figures, IEEE-HPEC conference, Waltham, MA, September
24-26, 2019 | null | 10.1109/HPEC.2019.8916327 | null | cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Advances in multicore processors and accelerators have opened the flood gates
to greater exploration and application of machine learning techniques to a
variety of applications. These advances, along with breakdowns of several
trends including Moore's Law, have prompted an explosion of processors and
accelerators tha... | [
{
"created": "Thu, 29 Aug 2019 16:54:49 GMT",
"version": "v1"
}
] | 2019-12-03 | [
[
"Reuther",
"Albert",
""
],
[
"Michaleas",
"Peter",
""
],
[
"Jones",
"Michael",
""
],
[
"Gadepally",
"Vijay",
""
],
[
"Samsi",
"Siddharth",
""
],
[
"Kepner",
"Jeremy",
""
]
] | Advances in multicore processors and accelerators have opened the flood gates to greater exploration and application of machine learning techniques to a variety of applications. These advances, along with breakdowns of several trends including Moore's Law, have prompted an explosion of processors and accelerators that ... |
2103.06818 | Aysim Toker | Aysim Toker, Qunjie Zhou, Maxim Maximov and Laura Leal-Taix\'e | Coming Down to Earth: Satellite-to-Street View Synthesis for
Geo-Localization | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The goal of cross-view image based geo-localization is to determine the
location of a given street view image by matching it against a collection of
geo-tagged satellite images. This task is notoriously challenging due to the
drastic viewpoint and appearance differences between the two domains. We show
that we can ad... | [
{
"created": "Thu, 11 Mar 2021 17:40:59 GMT",
"version": "v1"
}
] | 2021-03-12 | [
[
"Toker",
"Aysim",
""
],
[
"Zhou",
"Qunjie",
""
],
[
"Maximov",
"Maxim",
""
],
[
"Leal-Taixé",
"Laura",
""
]
] | The goal of cross-view image based geo-localization is to determine the location of a given street view image by matching it against a collection of geo-tagged satellite images. This task is notoriously challenging due to the drastic viewpoint and appearance differences between the two domains. We show that we can addr... |
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