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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2110.04667 | Shivam Bajaj | Shivam Bajaj, Eric Torng, Shaunak D. Bopardikar, Alexander Von Moll,
Isaac Weintraub, Eloy Garcia, David W. Casbeer | Competitive Perimeter Defense of Conical Environments | Version 2 has additional images | null | null | null | cs.DS cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | We consider a perimeter defense problem in a planar conical environment in
which a single vehicle, having a finite capture radius, aims to defend a
concentric perimeter from mobile intruders. The intruders are arbitrarily
released at the circumference of the environment and they move radially toward
the perimeter wit... | [
{
"created": "Sun, 10 Oct 2021 00:19:46 GMT",
"version": "v1"
},
{
"created": "Wed, 30 Mar 2022 03:55:25 GMT",
"version": "v2"
}
] | 2022-03-31 | [
[
"Bajaj",
"Shivam",
""
],
[
"Torng",
"Eric",
""
],
[
"Bopardikar",
"Shaunak D.",
""
],
[
"Von Moll",
"Alexander",
""
],
[
"Weintraub",
"Isaac",
""
],
[
"Garcia",
"Eloy",
""
],
[
"Casbeer",
"David W.",
""
]... | We consider a perimeter defense problem in a planar conical environment in which a single vehicle, having a finite capture radius, aims to defend a concentric perimeter from mobile intruders. The intruders are arbitrarily released at the circumference of the environment and they move radially toward the perimeter with ... |
2311.12345 | Yanan Jian | Yanan Jian, Fuxun Yu, Simranjit Singh, Dimitrios Stamoulis | Stable Diffusion For Aerial Object Detection | Accepted at NeurIPS 2023 Synthetic Data Generation with Generative AI
workshop | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Aerial object detection is a challenging task, in which one major obstacle
lies in the limitations of large-scale data collection and the long-tail
distribution of certain classes. Synthetic data offers a promising solution,
especially with recent advances in diffusion-based methods like stable
diffusion (SD). Howeve... | [
{
"created": "Tue, 21 Nov 2023 04:38:21 GMT",
"version": "v1"
}
] | 2023-11-22 | [
[
"Jian",
"Yanan",
""
],
[
"Yu",
"Fuxun",
""
],
[
"Singh",
"Simranjit",
""
],
[
"Stamoulis",
"Dimitrios",
""
]
] | Aerial object detection is a challenging task, in which one major obstacle lies in the limitations of large-scale data collection and the long-tail distribution of certain classes. Synthetic data offers a promising solution, especially with recent advances in diffusion-based methods like stable diffusion (SD). However,... |
2105.01899 | Tsung Wei Tsai | Tsung Wei Tsai, Chongxuan Li, Jun Zhu | MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering | International Conference on Learning Representations (ICLR) 2021 | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by/4.0/ | We present Mixture of Contrastive Experts (MiCE), a unified probabilistic
clustering framework that simultaneously exploits the discriminative
representations learned by contrastive learning and the semantic structures
captured by a latent mixture model. Motivated by the mixture of experts, MiCE
employs a gating func... | [
{
"created": "Wed, 5 May 2021 07:17:57 GMT",
"version": "v1"
}
] | 2021-05-06 | [
[
"Tsai",
"Tsung Wei",
""
],
[
"Li",
"Chongxuan",
""
],
[
"Zhu",
"Jun",
""
]
] | We present Mixture of Contrastive Experts (MiCE), a unified probabilistic clustering framework that simultaneously exploits the discriminative representations learned by contrastive learning and the semantic structures captured by a latent mixture model. Motivated by the mixture of experts, MiCE employs a gating functi... |
1805.05758 | Thomas Wolf | Thomas Wolf, Julien Chaumond, Clement Delangue | Continuous Learning in a Hierarchical Multiscale Neural Network | 5 pages, 2 figures, accepted as short paper at ACL 2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We reformulate the problem of encoding a multi-scale representation of a
sequence in a language model by casting it in a continuous learning framework.
We propose a hierarchical multi-scale language model in which short time-scale
dependencies are encoded in the hidden state of a lower-level recurrent neural
network ... | [
{
"created": "Tue, 15 May 2018 13:37:33 GMT",
"version": "v1"
}
] | 2018-05-16 | [
[
"Wolf",
"Thomas",
""
],
[
"Chaumond",
"Julien",
""
],
[
"Delangue",
"Clement",
""
]
] | We reformulate the problem of encoding a multi-scale representation of a sequence in a language model by casting it in a continuous learning framework. We propose a hierarchical multi-scale language model in which short time-scale dependencies are encoded in the hidden state of a lower-level recurrent neural network wh... |
2312.06202 | Yitong Wang | Yitong Wang, Chang Liu, Jun Zhao | Transforms for Multiplicative and Fractional Programming with Broad
Applications in Edge Computing and Communication Networks | null | null | null | null | cs.CC cs.DM cs.NA cs.PF math.NA | http://creativecommons.org/licenses/by/4.0/ | Multiplicative Programming (MP) pertains to a spectrum of optimization
problems that involve product term(s). As computational paradigms of
communication systems continue to evolve, particularly concerning the
offloading strategies of computationally intensive tasks simultaneously to
centralized or decentralized serv... | [
{
"created": "Mon, 11 Dec 2023 08:36:17 GMT",
"version": "v1"
}
] | 2023-12-12 | [
[
"Wang",
"Yitong",
""
],
[
"Liu",
"Chang",
""
],
[
"Zhao",
"Jun",
""
]
] | Multiplicative Programming (MP) pertains to a spectrum of optimization problems that involve product term(s). As computational paradigms of communication systems continue to evolve, particularly concerning the offloading strategies of computationally intensive tasks simultaneously to centralized or decentralized server... |
1302.5848 | Kalyana Babu Nakshatrala | D. Z. Turner, K. B. Nakshatrala, and M. J. Martinez | A framework for coupling flow and deformation of the porous solid | null | null | null | null | cs.NA math.NA physics.flu-dyn | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we consider the flow of an incompressible fluid in a
deformable porous solid. We present a mathematical model using the framework
offered by the theory of interacting continua. In its most general form, this
framework provides a mechanism for capturing multiphase flow, deformation,
chemical reactions a... | [
{
"created": "Sat, 23 Feb 2013 22:03:45 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Feb 2013 05:16:27 GMT",
"version": "v2"
}
] | 2013-02-27 | [
[
"Turner",
"D. Z.",
""
],
[
"Nakshatrala",
"K. B.",
""
],
[
"Martinez",
"M. J.",
""
]
] | In this paper, we consider the flow of an incompressible fluid in a deformable porous solid. We present a mathematical model using the framework offered by the theory of interacting continua. In its most general form, this framework provides a mechanism for capturing multiphase flow, deformation, chemical reactions and... |
2005.05465 | Tom Kr\"uger | Tom Kr\"uger, Wolfgang Mauerer | Quantum Annealing-Based Software Components: An Experimental Case Study
with SAT Solving | null | null | 10.1145/3387940.3391472 | null | cs.ET quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quantum computers have the potential of solving problems more efficiently
than classical computers. While first commercial prototypes have become
available, the performance of such machines in practical application is still
subject to exploration. Quantum computers will not entirely replace classical
machines, but se... | [
{
"created": "Mon, 11 May 2020 22:20:17 GMT",
"version": "v1"
}
] | 2020-05-13 | [
[
"Krüger",
"Tom",
""
],
[
"Mauerer",
"Wolfgang",
""
]
] | Quantum computers have the potential of solving problems more efficiently than classical computers. While first commercial prototypes have become available, the performance of such machines in practical application is still subject to exploration. Quantum computers will not entirely replace classical machines, but serv... |
2202.06297 | Alexey Ovchinnikov | Mariya Bessonov, Ilia Ilmer, Tatiana Konstantinova, Alexey
Ovchinnikov, Gleb Pogudin, Pedro Soto | Faster Gr\"obner bases for Lie derivatives of ODE systems via monomial
orderings | null | null | 10.1145/3666000.3669695 | null | cs.SC cs.MS q-bio.QM | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Symbolic computation for systems of differential equations is often
computationally expensive. Many practical differential models have a form of
polynomial or rational ODE system with specified outputs. A basic symbolic
approach to analyze these models is to compute and then symbolically process
the polynomial system... | [
{
"created": "Sun, 13 Feb 2022 12:40:11 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Feb 2023 17:01:39 GMT",
"version": "v2"
},
{
"created": "Thu, 6 Jun 2024 21:18:53 GMT",
"version": "v3"
}
] | 2024-06-10 | [
[
"Bessonov",
"Mariya",
""
],
[
"Ilmer",
"Ilia",
""
],
[
"Konstantinova",
"Tatiana",
""
],
[
"Ovchinnikov",
"Alexey",
""
],
[
"Pogudin",
"Gleb",
""
],
[
"Soto",
"Pedro",
""
]
] | Symbolic computation for systems of differential equations is often computationally expensive. Many practical differential models have a form of polynomial or rational ODE system with specified outputs. A basic symbolic approach to analyze these models is to compute and then symbolically process the polynomial system o... |
1611.06468 | Rui Liu | Rui Liu, Xiaoli Zhang | Generating machine-executable plans from end-user's natural-language
instructions | 16 pages, 10 figures, article submitted to Robotics and
Computer-Integrated Manufacturing, 2016 Aug | null | null | null | cs.AI cs.CL cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is critical for advanced manufacturing machines to autonomously execute a
task by following an end-user's natural language (NL) instructions. However, NL
instructions are usually ambiguous and abstract so that the machines may
misunderstand and incorrectly execute the task. To address this NL-based
human-machine c... | [
{
"created": "Sun, 20 Nov 2016 04:06:47 GMT",
"version": "v1"
}
] | 2016-11-22 | [
[
"Liu",
"Rui",
""
],
[
"Zhang",
"Xiaoli",
""
]
] | It is critical for advanced manufacturing machines to autonomously execute a task by following an end-user's natural language (NL) instructions. However, NL instructions are usually ambiguous and abstract so that the machines may misunderstand and incorrectly execute the task. To address this NL-based human-machine com... |
1801.02358 | Priyanka Mukhopadhyay Ms | Divesh Aggarwal, Priyanka Mukhopadhyay | Improved algorithms for the Shortest Vector Problem and the Closest
Vector Problem in the infinity norm | Changed the title | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Blomer and Naewe[BN09] modified the randomized sieving algorithm of Ajtai,
Kumar and Sivakumar[AKS01] to solve the shortest vector problem (SVP). The
algorithm starts with $N = 2^{O(n)}$ randomly chosen vectors in the lattice and
employs a sieving procedure to iteratively obtain shorter vectors in the
lattice. The ru... | [
{
"created": "Mon, 8 Jan 2018 09:43:43 GMT",
"version": "v1"
},
{
"created": "Tue, 15 May 2018 17:04:41 GMT",
"version": "v2"
}
] | 2018-05-16 | [
[
"Aggarwal",
"Divesh",
""
],
[
"Mukhopadhyay",
"Priyanka",
""
]
] | Blomer and Naewe[BN09] modified the randomized sieving algorithm of Ajtai, Kumar and Sivakumar[AKS01] to solve the shortest vector problem (SVP). The algorithm starts with $N = 2^{O(n)}$ randomly chosen vectors in the lattice and employs a sieving procedure to iteratively obtain shorter vectors in the lattice. The runn... |
2009.11180 | Lance Eliot | Lance Eliot | AI and Legal Argumentation: Aligning the Autonomous Levels of AI Legal
Reasoning | 26 pages, 9 figures. arXiv admin note: text overlap with
arXiv:2009.02243 | null | null | null | cs.CY cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Legal argumentation is a vital cornerstone of justice, underpinning an
adversarial form of law, and extensive research has attempted to augment or
undertake legal argumentation via the use of computer-based automation
including Artificial Intelligence (AI). AI advances in Natural Language
Processing (NLP) and Machine... | [
{
"created": "Fri, 11 Sep 2020 22:05:40 GMT",
"version": "v1"
}
] | 2020-09-24 | [
[
"Eliot",
"Lance",
""
]
] | Legal argumentation is a vital cornerstone of justice, underpinning an adversarial form of law, and extensive research has attempted to augment or undertake legal argumentation via the use of computer-based automation including Artificial Intelligence (AI). AI advances in Natural Language Processing (NLP) and Machine L... |
2312.08888 | Kyra Ahrens | Kyra Ahrens, Hans Hergen Lehmann, Jae Hee Lee, Stefan Wermter | Read Between the Layers: Leveraging Multi-Layer Representations for
Rehearsal-Free Continual Learning with Pre-Trained Models | Accepted for publication in Transactions of Machine Learning Research
(TMLR) journal | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by/4.0/ | We address the Continual Learning (CL) problem, wherein a model must learn a
sequence of tasks from non-stationary distributions while preserving prior
knowledge upon encountering new experiences. With the advancement of foundation
models, CL research has pivoted from the initial learning-from-scratch paradigm
toward... | [
{
"created": "Wed, 13 Dec 2023 13:11:44 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Apr 2024 19:32:47 GMT",
"version": "v2"
},
{
"created": "Fri, 5 Jul 2024 09:43:41 GMT",
"version": "v3"
}
] | 2024-07-08 | [
[
"Ahrens",
"Kyra",
""
],
[
"Lehmann",
"Hans Hergen",
""
],
[
"Lee",
"Jae Hee",
""
],
[
"Wermter",
"Stefan",
""
]
] | We address the Continual Learning (CL) problem, wherein a model must learn a sequence of tasks from non-stationary distributions while preserving prior knowledge upon encountering new experiences. With the advancement of foundation models, CL research has pivoted from the initial learning-from-scratch paradigm towards ... |
1911.07875 | Sandhya Tripathi | Aditya Petety, Sandhya Tripathi, N Hemachandra | Attribute noise robust binary classification | Accepted for Student Abstract presentation at AAAI2020 | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | We consider the problem of learning linear classifiers when both features and
labels are binary. In addition, the features are noisy, i.e., they could be
flipped with an unknown probability. In Sy-De attribute noise model, where all
features could be noisy together with same probability, we show that $0$-$1$
loss ($l... | [
{
"created": "Mon, 18 Nov 2019 19:03:02 GMT",
"version": "v1"
}
] | 2019-11-20 | [
[
"Petety",
"Aditya",
""
],
[
"Tripathi",
"Sandhya",
""
],
[
"Hemachandra",
"N",
""
]
] | We consider the problem of learning linear classifiers when both features and labels are binary. In addition, the features are noisy, i.e., they could be flipped with an unknown probability. In Sy-De attribute noise model, where all features could be noisy together with same probability, we show that $0$-$1$ loss ($l_{... |
2404.12821 | Geoffrey Goodell | William Macpherson and Geoffrey Goodell | Benchmarking the performance of a self-custody, non-ledger-based,
obliviously managed digital payment system | 23 pages, 10 figures | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As global governments intensify efforts to operationalize retail central bank
digital currencies (CBDCs), the imperative for architectures that preserve user
privacy has never been more pronounced. This paper advances an existing retail
CBDC framework developed at University College London. Utilizing the
capabilities... | [
{
"created": "Fri, 19 Apr 2024 11:57:32 GMT",
"version": "v1"
}
] | 2024-04-22 | [
[
"Macpherson",
"William",
""
],
[
"Goodell",
"Geoffrey",
""
]
] | As global governments intensify efforts to operationalize retail central bank digital currencies (CBDCs), the imperative for architectures that preserve user privacy has never been more pronounced. This paper advances an existing retail CBDC framework developed at University College London. Utilizing the capabilities o... |
1707.08273 | Noseong Park | Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee,
Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, Youngmin Kim | MMGAN: Manifold Matching Generative Adversarial Network | the 24th International Conference on Pattern Recognition (ICPR), 2018 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is well-known that GANs are difficult to train, and several different
techniques have been proposed in order to stabilize their training. In this
paper, we propose a novel training method called manifold-matching, and a new
GAN model called manifold-matching GAN (MMGAN). MMGAN finds two manifolds
representing the ... | [
{
"created": "Wed, 26 Jul 2017 02:09:34 GMT",
"version": "v1"
},
{
"created": "Sun, 30 Jul 2017 06:29:16 GMT",
"version": "v2"
},
{
"created": "Thu, 21 Sep 2017 18:31:19 GMT",
"version": "v3"
},
{
"created": "Thu, 12 Apr 2018 06:46:15 GMT",
"version": "v4"
}
] | 2018-04-13 | [
[
"Park",
"Noseong",
""
],
[
"Anand",
"Ankesh",
""
],
[
"Moniz",
"Joel Ruben Antony",
""
],
[
"Lee",
"Kookjin",
""
],
[
"Chakraborty",
"Tanmoy",
""
],
[
"Choo",
"Jaegul",
""
],
[
"Park",
"Hongkyu",
""
],
... | It is well-known that GANs are difficult to train, and several different techniques have been proposed in order to stabilize their training. In this paper, we propose a novel training method called manifold-matching, and a new GAN model called manifold-matching GAN (MMGAN). MMGAN finds two manifolds representing the ve... |
1811.06871 | Sandor Kisfaludi-Bak | S\'andor Kisfaludi-Bak, Jesper Nederlof and Erik Jan van Leeuwen | Nearly ETH-Tight Algorithms for Planar Steiner Tree with Terminals on
Few Faces | 32 pages, 8 figures, accepted at SODA 2019 | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Planar Steiner Tree problem is one of the most fundamental NP-complete
problems as it models many network design problems. Recall that an instance of
this problem consists of a graph with edge weights, and a subset of vertices
(often called terminals); the goal is to find a subtree of the graph of minimum
total w... | [
{
"created": "Fri, 16 Nov 2018 15:47:38 GMT",
"version": "v1"
}
] | 2018-11-19 | [
[
"Kisfaludi-Bak",
"Sándor",
""
],
[
"Nederlof",
"Jesper",
""
],
[
"van Leeuwen",
"Erik Jan",
""
]
] | The Planar Steiner Tree problem is one of the most fundamental NP-complete problems as it models many network design problems. Recall that an instance of this problem consists of a graph with edge weights, and a subset of vertices (often called terminals); the goal is to find a subtree of the graph of minimum total wei... |
2003.02638 | Marcus Ebner Von Eschenbach | Marcus Ebner von Eschenbach, Binyamin Manela, Jan Peters, Armin Biess | Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic
Robotic Arms | 8 pages, 5 figures, submitted to IEEE Robotics and Automation
Letters/IROS 2020 | null | null | null | cs.RO cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | The development of autonomous robotic systems that can learn from human
demonstrations to imitate a desired behavior - rather than being manually
programmed - has huge technological potential. One major challenge in imitation
learning is the correspondence problem: how to establish corresponding states
and actions be... | [
{
"created": "Tue, 25 Feb 2020 19:47:19 GMT",
"version": "v1"
}
] | 2020-03-06 | [
[
"von Eschenbach",
"Marcus Ebner",
""
],
[
"Manela",
"Binyamin",
""
],
[
"Peters",
"Jan",
""
],
[
"Biess",
"Armin",
""
]
] | The development of autonomous robotic systems that can learn from human demonstrations to imitate a desired behavior - rather than being manually programmed - has huge technological potential. One major challenge in imitation learning is the correspondence problem: how to establish corresponding states and actions betw... |
0909.2455 | Grenville Croll | Andrew McGeady, Joseph McGouran | End User Computing in AIB Capital Markets: A Management Summary | 7 Pages. Referenced & submitted by GJC in Sept 2009 | Proc. European Spreadsheet Risks Int. Grp. (EuSpRIG) 2008 25-31
ISBN 978-905617-69-2 | null | null | cs.HC cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper is a management summary of how the area of End User Computing
(EUC) has been addressed by AIB Capital Markets. The development of an
effective policy is described, as well as the process by which a register of
critical EUC applications was assembled and how those applications were brought
into a controlled... | [
{
"created": "Sun, 13 Sep 2009 23:51:59 GMT",
"version": "v1"
}
] | 2009-09-15 | [
[
"McGeady",
"Andrew",
""
],
[
"McGouran",
"Joseph",
""
]
] | This paper is a management summary of how the area of End User Computing (EUC) has been addressed by AIB Capital Markets. The development of an effective policy is described, as well as the process by which a register of critical EUC applications was assembled and how those applications were brought into a controlled e... |
2208.10552 | Yahav Avigal | Yahav Avigal, Lars Berscheid, Tamim Asfour, Torsten Kr\"oger, Ken
Goldberg | SpeedFolding: Learning Efficient Bimanual Folding of Garments | IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS) 2022 | null | null | null | cs.RO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Folding garments reliably and efficiently is a long standing challenge in
robotic manipulation due to the complex dynamics and high dimensional
configuration space of garments. An intuitive approach is to initially
manipulate the garment to a canonical smooth configuration before folding. In
this work, we develop Spe... | [
{
"created": "Mon, 22 Aug 2022 19:01:31 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Sep 2022 18:04:21 GMT",
"version": "v2"
}
] | 2022-09-13 | [
[
"Avigal",
"Yahav",
""
],
[
"Berscheid",
"Lars",
""
],
[
"Asfour",
"Tamim",
""
],
[
"Kröger",
"Torsten",
""
],
[
"Goldberg",
"Ken",
""
]
] | Folding garments reliably and efficiently is a long standing challenge in robotic manipulation due to the complex dynamics and high dimensional configuration space of garments. An intuitive approach is to initially manipulate the garment to a canonical smooth configuration before folding. In this work, we develop Speed... |
1904.05754 | Ping-En Lu | Yu-Hsien Peng, Ping-En Lu, Cheng-Shang Chang and Duan-Shin Lee | Percolation Threshold for Competitive Influence in Random Networks | 11 pages, 9 figures, this article is the complete version (with
proofs) of the IEEE Global Communications Conference 2019 review paper | in IEEE Transactions on Computational Social Systems, vol. 7, no.
4, pp. 991-1003, Aug. 2020 | 10.1109/TCSS.2020.2995740 | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a new averaging model for modeling the competitive
influence of $K$ candidates among $n$ voters in an election process. For such
an influence propagation model, we address the question of how many seeded
voters a candidate needs to place among undecided voters in order to win an
election. We... | [
{
"created": "Thu, 11 Apr 2019 15:13:15 GMT",
"version": "v1"
},
{
"created": "Sun, 14 Apr 2019 12:31:25 GMT",
"version": "v2"
},
{
"created": "Sun, 21 Apr 2019 13:04:44 GMT",
"version": "v3"
}
] | 2020-09-22 | [
[
"Peng",
"Yu-Hsien",
""
],
[
"Lu",
"Ping-En",
""
],
[
"Chang",
"Cheng-Shang",
""
],
[
"Lee",
"Duan-Shin",
""
]
] | In this paper, we propose a new averaging model for modeling the competitive influence of $K$ candidates among $n$ voters in an election process. For such an influence propagation model, we address the question of how many seeded voters a candidate needs to place among undecided voters in order to win an election. We s... |
2104.00179 | Chunhui Liu | Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe | Selective Feature Compression for Efficient Activity Recognition
Inference | Accepted by ICCV 2021 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Most action recognition solutions rely on dense sampling to precisely cover
the informative temporal clip. Extensively searching temporal region is
expensive for a real-world application. In this work, we focus on improving the
inference efficiency of current action recognition backbones on trimmed videos,
and illust... | [
{
"created": "Thu, 1 Apr 2021 00:54:51 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Jul 2021 10:59:15 GMT",
"version": "v2"
}
] | 2021-07-30 | [
[
"Liu",
"Chunhui",
""
],
[
"Li",
"Xinyu",
""
],
[
"Chen",
"Hao",
""
],
[
"Modolo",
"Davide",
""
],
[
"Tighe",
"Joseph",
""
]
] | Most action recognition solutions rely on dense sampling to precisely cover the informative temporal clip. Extensively searching temporal region is expensive for a real-world application. In this work, we focus on improving the inference efficiency of current action recognition backbones on trimmed videos, and illustra... |
1705.01501 | Shankara Narayanan Krishna | Shankara Narayanan Krishna, Khushraj Madnani, P. K. Pandya | Making Metric Temporal Logic Rational | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study an extension of $\mtl$ in pointwise time with rational expression
guarded modality $\reg_I(\re)$ where $\re$ is a rational expression over
subformulae. We study the decidability and expressiveness of this extension
($\mtl$+$\varphi \ureg_{I, \re} \varphi$+$\reg_{I,\re}\varphi$), called
$\regmtl$, as well as ... | [
{
"created": "Sat, 29 Apr 2017 18:08:50 GMT",
"version": "v1"
}
] | 2017-05-04 | [
[
"Krishna",
"Shankara Narayanan",
""
],
[
"Madnani",
"Khushraj",
""
],
[
"Pandya",
"P. K.",
""
]
] | We study an extension of $\mtl$ in pointwise time with rational expression guarded modality $\reg_I(\re)$ where $\re$ is a rational expression over subformulae. We study the decidability and expressiveness of this extension ($\mtl$+$\varphi \ureg_{I, \re} \varphi$+$\reg_{I,\re}\varphi$), called $\regmtl$, as well as it... |
2305.15431 | Zimu Wang | Zimu Wang, Jiashuo Liu, Hao Zou, Xingxuan Zhang, Yue He, Dongxu Liang,
Peng Cui | Exploring and Exploiting Data Heterogeneity in Recommendation | 14 pages, 14 figures | null | null | null | cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Massive amounts of data are the foundation of data-driven recommendation
models. As an inherent nature of big data, data heterogeneity widely exists in
real-world recommendation systems. It reflects the differences in the
properties among sub-populations. Ignoring the heterogeneity in recommendation
data could limit ... | [
{
"created": "Sun, 21 May 2023 11:01:14 GMT",
"version": "v1"
}
] | 2023-05-26 | [
[
"Wang",
"Zimu",
""
],
[
"Liu",
"Jiashuo",
""
],
[
"Zou",
"Hao",
""
],
[
"Zhang",
"Xingxuan",
""
],
[
"He",
"Yue",
""
],
[
"Liang",
"Dongxu",
""
],
[
"Cui",
"Peng",
""
]
] | Massive amounts of data are the foundation of data-driven recommendation models. As an inherent nature of big data, data heterogeneity widely exists in real-world recommendation systems. It reflects the differences in the properties among sub-populations. Ignoring the heterogeneity in recommendation data could limit th... |
1911.11357 | Samaneh Azadi | Samaneh Azadi, Michael Tschannen, Eric Tzeng, Sylvain Gelly, Trevor
Darrell, Mario Lucic | Semantic Bottleneck Scene Generation | null | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Coupling the high-fidelity generation capabilities of label-conditional image
synthesis methods with the flexibility of unconditional generative models, we
propose a semantic bottleneck GAN model for unconditional synthesis of complex
scenes. We assume pixel-wise segmentation labels are available during training
and ... | [
{
"created": "Tue, 26 Nov 2019 06:01:09 GMT",
"version": "v1"
}
] | 2019-11-27 | [
[
"Azadi",
"Samaneh",
""
],
[
"Tschannen",
"Michael",
""
],
[
"Tzeng",
"Eric",
""
],
[
"Gelly",
"Sylvain",
""
],
[
"Darrell",
"Trevor",
""
],
[
"Lucic",
"Mario",
""
]
] | Coupling the high-fidelity generation capabilities of label-conditional image synthesis methods with the flexibility of unconditional generative models, we propose a semantic bottleneck GAN model for unconditional synthesis of complex scenes. We assume pixel-wise segmentation labels are available during training and us... |
1906.04964 | Martianus Frederic Ezerman | Martianus Frederic Ezerman, San Ling, Buket \"Ozkaya, and Patrick
Sol\'e | Good Stabilizer Codes from Quasi-Cyclic Codes over $\mathbb{F}_4$ and
$\mathbb{F}_9$ | Accepted ISIT 2019 | null | 10.1109/ISIT.2019.8849416 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We apply quantum Construction X on quasi-cyclic codes with large Hermitian
hulls over $\mathbb{F}_4$ and $\mathbb{F}_9$ to derive good qubit and qutrit
stabilizer codes, respectively. In several occasions we obtain quantum codes
with stricly improved parameters than the current record. In numerous other
occasions we ... | [
{
"created": "Wed, 12 Jun 2019 06:45:51 GMT",
"version": "v1"
}
] | 2020-04-28 | [
[
"Ezerman",
"Martianus Frederic",
""
],
[
"Ling",
"San",
""
],
[
"Özkaya",
"Buket",
""
],
[
"Solé",
"Patrick",
""
]
] | We apply quantum Construction X on quasi-cyclic codes with large Hermitian hulls over $\mathbb{F}_4$ and $\mathbb{F}_9$ to derive good qubit and qutrit stabilizer codes, respectively. In several occasions we obtain quantum codes with stricly improved parameters than the current record. In numerous other occasions we ob... |
2111.07129 | Ajoy Mondal Dr. | Sachin Raja, Ajoy Mondal, and C V Jawahar | Visual Understanding of Complex Table Structures from Document Images | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Table structure recognition is necessary for a comprehensive understanding of
documents. Tables in unstructured business documents are tough to parse due to
the high diversity of layouts, varying alignments of contents, and the presence
of empty cells. The problem is particularly difficult because of challenges in
id... | [
{
"created": "Sat, 13 Nov 2021 14:54:33 GMT",
"version": "v1"
}
] | 2021-11-16 | [
[
"Raja",
"Sachin",
""
],
[
"Mondal",
"Ajoy",
""
],
[
"Jawahar",
"C V",
""
]
] | Table structure recognition is necessary for a comprehensive understanding of documents. Tables in unstructured business documents are tough to parse due to the high diversity of layouts, varying alignments of contents, and the presence of empty cells. The problem is particularly difficult because of challenges in iden... |
1302.2875 | Frank Kschischang | Mansoor I. Yousefi and Frank R. Kschischang | Information Transmission using the Nonlinear Fourier Transform, Part
III: Spectrum Modulation | Updated version of IEEE Transactions on Information Theory, vol. 60,
no. 7, pp. 4346--4369, July, 2014 | IEEE Transactions on Information Theory, vol. 60, no. 7, pp.
4346--4369, July, 2014 | 10.1109/TIT.2014.2321155 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motivated by the looming "capacity crunch" in fiber-optic networks,
information transmission over such systems is revisited. Among numerous
distortions, inter-channel interference in multiuser wavelength-division
multiplexing (WDM) is identified as the seemingly intractable factor limiting
the achievable rate at high... | [
{
"created": "Tue, 12 Feb 2013 17:52:11 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Oct 2014 21:29:50 GMT",
"version": "v2"
}
] | 2014-10-09 | [
[
"Yousefi",
"Mansoor I.",
""
],
[
"Kschischang",
"Frank R.",
""
]
] | Motivated by the looming "capacity crunch" in fiber-optic networks, information transmission over such systems is revisited. Among numerous distortions, inter-channel interference in multiuser wavelength-division multiplexing (WDM) is identified as the seemingly intractable factor limiting the achievable rate at high l... |
2206.06155 | Felix Lanfermann | Felix Lanfermann and Sebastian Schmitt | Concept Identification for Complex Engineering Datasets | 19 pages, 14 figures, accepted at Advanced Engineering Informatics | null | 10.1016/j.aei.2022.101704 | null | cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Finding meaningful concepts in engineering application datasets which allow
for a sensible grouping of designs is very helpful in many contexts. It allows
for determining different groups of designs with similar properties and
provides useful knowledge in the engineering decision making process. Also, it
opens the ro... | [
{
"created": "Thu, 9 Jun 2022 09:39:46 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Jul 2022 07:52:03 GMT",
"version": "v2"
}
] | 2022-08-17 | [
[
"Lanfermann",
"Felix",
""
],
[
"Schmitt",
"Sebastian",
""
]
] | Finding meaningful concepts in engineering application datasets which allow for a sensible grouping of designs is very helpful in many contexts. It allows for determining different groups of designs with similar properties and provides useful knowledge in the engineering decision making process. Also, it opens the rout... |
2308.10110 | Yihua Zhang | Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang,
Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu | Robust Mixture-of-Expert Training for Convolutional Neural Networks | ICCV 2023 | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Sparsely-gated Mixture of Expert (MoE), an emerging deep model architecture,
has demonstrated a great promise to enable high-accuracy and ultra-efficient
model inference. Despite the growing popularity of MoE, little work
investigated its potential to advance convolutional neural networks (CNNs),
especially in the pl... | [
{
"created": "Sat, 19 Aug 2023 20:58:21 GMT",
"version": "v1"
}
] | 2023-08-22 | [
[
"Zhang",
"Yihua",
""
],
[
"Cai",
"Ruisi",
""
],
[
"Chen",
"Tianlong",
""
],
[
"Zhang",
"Guanhua",
""
],
[
"Zhang",
"Huan",
""
],
[
"Chen",
"Pin-Yu",
""
],
[
"Chang",
"Shiyu",
""
],
[
"Wang",
"Zh... | Sparsely-gated Mixture of Expert (MoE), an emerging deep model architecture, has demonstrated a great promise to enable high-accuracy and ultra-efficient model inference. Despite the growing popularity of MoE, little work investigated its potential to advance convolutional neural networks (CNNs), especially in the plan... |
2311.05863 | Yuanmin Tang | Yuanmin Tang, Jing Yu, Keke Gai, Xiangyan Qu, Yue Hu, Gang Xiong, Qi
Wu | Watermarking Vision-Language Pre-trained Models for Multi-modal
Embedding as a Service | null | null | null | null | cs.CR cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in vision-language pre-trained models (VLPs) have
significantly increased visual understanding and cross-modal analysis
capabilities. Companies have emerged to provide multi-modal Embedding as a
Service (EaaS) based on VLPs (e.g., CLIP-based VLPs), which cost a large amount
of training data and resour... | [
{
"created": "Fri, 10 Nov 2023 04:27:27 GMT",
"version": "v1"
}
] | 2023-11-13 | [
[
"Tang",
"Yuanmin",
""
],
[
"Yu",
"Jing",
""
],
[
"Gai",
"Keke",
""
],
[
"Qu",
"Xiangyan",
""
],
[
"Hu",
"Yue",
""
],
[
"Xiong",
"Gang",
""
],
[
"Wu",
"Qi",
""
]
] | Recent advances in vision-language pre-trained models (VLPs) have significantly increased visual understanding and cross-modal analysis capabilities. Companies have emerged to provide multi-modal Embedding as a Service (EaaS) based on VLPs (e.g., CLIP-based VLPs), which cost a large amount of training data and resource... |
1808.02633 | Liting Sun | Liting Sun, Wei Zhan, Masayoshi Tomizuka, and Anca D. Dragan | Courteous Autonomous Cars | International Conference on Intelligent Robots (IROS) 2018 | null | null | null | cs.RO cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Typically, autonomous cars optimize for a combination of safety, efficiency,
and driving quality. But as we get better at this optimization, we start seeing
behavior go from too conservative to too aggressive. The car's behavior exposes
the incentives we provide in its cost function. In this work, we argue for cars
t... | [
{
"created": "Wed, 8 Aug 2018 05:45:24 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Aug 2018 02:47:58 GMT",
"version": "v2"
}
] | 2018-08-17 | [
[
"Sun",
"Liting",
""
],
[
"Zhan",
"Wei",
""
],
[
"Tomizuka",
"Masayoshi",
""
],
[
"Dragan",
"Anca D.",
""
]
] | Typically, autonomous cars optimize for a combination of safety, efficiency, and driving quality. But as we get better at this optimization, we start seeing behavior go from too conservative to too aggressive. The car's behavior exposes the incentives we provide in its cost function. In this work, we argue for cars tha... |
2407.05627 | Surya Agustian Mr. | Surya Agustian, Muhammad Irfan Syah, Nurul Fatiara, and Rahmad
Abdillah | New Directions in Text Classification Research: Maximizing The
Performance of Sentiment Classification from Limited Data | 9 pages, in Indonesian language. intro to a shared task in sentiment
classification | null | null | null | cs.CL cs.IR cs.IT cs.LG cs.SI math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The stakeholders' needs in sentiment analysis for various issues, whether
positive or negative, are speed and accuracy. One new challenge in sentiment
analysis tasks is the limited training data, which often leads to suboptimal
machine learning models and poor performance on test data. This paper discusses
the proble... | [
{
"created": "Mon, 8 Jul 2024 05:42:29 GMT",
"version": "v1"
}
] | 2024-07-09 | [
[
"Agustian",
"Surya",
""
],
[
"Syah",
"Muhammad Irfan",
""
],
[
"Fatiara",
"Nurul",
""
],
[
"Abdillah",
"Rahmad",
""
]
] | The stakeholders' needs in sentiment analysis for various issues, whether positive or negative, are speed and accuracy. One new challenge in sentiment analysis tasks is the limited training data, which often leads to suboptimal machine learning models and poor performance on test data. This paper discusses the problem ... |
1808.03485 | Arno Solin | Santiago Cort\'es, Arno Solin, Juho Kannala | Deep Learning Based Speed Estimation for Constraining Strapdown Inertial
Navigation on Smartphones | To appear in IEEE International Workshop on Machine Learning for
Signal Processing (MLSP) 2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Strapdown inertial navigation systems are sensitive to the quality of the
data provided by the accelerometer and gyroscope. Low-grade IMUs in handheld
smart-devices pose a problem for inertial odometry on these devices. We propose
a scheme for constraining the inertial odometry problem by complementing
non-linear sta... | [
{
"created": "Fri, 10 Aug 2018 11:03:58 GMT",
"version": "v1"
}
] | 2018-08-13 | [
[
"Cortés",
"Santiago",
""
],
[
"Solin",
"Arno",
""
],
[
"Kannala",
"Juho",
""
]
] | Strapdown inertial navigation systems are sensitive to the quality of the data provided by the accelerometer and gyroscope. Low-grade IMUs in handheld smart-devices pose a problem for inertial odometry on these devices. We propose a scheme for constraining the inertial odometry problem by complementing non-linear state... |
2403.18305 | Youngbin Lee | Minjoo Choi, Seonmi Kim, Yejin Kim, Youngbin Lee, Joohwan Hong,
Yongjae Lee | A Recommender System for NFT Collectibles with Item Feature | Presented at the AAAI 2023 Bridge on AI for Financial Services
(https://sites.google.com/view/aaai-ai-fin/home) | null | null | null | cs.IR cs.AI | http://creativecommons.org/licenses/by/4.0/ | Recommender systems have been actively studied and applied in various domains
to deal with information overload. Although there are numerous studies on
recommender systems for movies, music, and e-commerce, comparatively less
attention has been paid to the recommender system for NFTs despite the
continuous growth of ... | [
{
"created": "Wed, 27 Mar 2024 06:59:39 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Apr 2024 06:52:50 GMT",
"version": "v2"
}
] | 2024-04-04 | [
[
"Choi",
"Minjoo",
""
],
[
"Kim",
"Seonmi",
""
],
[
"Kim",
"Yejin",
""
],
[
"Lee",
"Youngbin",
""
],
[
"Hong",
"Joohwan",
""
],
[
"Lee",
"Yongjae",
""
]
] | Recommender systems have been actively studied and applied in various domains to deal with information overload. Although there are numerous studies on recommender systems for movies, music, and e-commerce, comparatively less attention has been paid to the recommender system for NFTs despite the continuous growth of th... |
1709.05865 | Shubham Dham | Shubham Dham, Anirudh Sharma, Abhinav Dhall | Depression Scale Recognition from Audio, Visual and Text Analysis | null | null | null | null | cs.CV cs.LG cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Depression is a major mental health disorder that is rapidly affecting lives
worldwide. Depression not only impacts emotional but also physical and
psychological state of the person. Its symptoms include lack of interest in
daily activities, feeling low, anxiety, frustration, loss of weight and even
feeling of self-h... | [
{
"created": "Mon, 18 Sep 2017 11:26:01 GMT",
"version": "v1"
}
] | 2017-09-19 | [
[
"Dham",
"Shubham",
""
],
[
"Sharma",
"Anirudh",
""
],
[
"Dhall",
"Abhinav",
""
]
] | Depression is a major mental health disorder that is rapidly affecting lives worldwide. Depression not only impacts emotional but also physical and psychological state of the person. Its symptoms include lack of interest in daily activities, feeling low, anxiety, frustration, loss of weight and even feeling of self-hat... |
2311.04293 | Tara Akhound-Sadegh | Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Johannes
Brandstetter, Max Welling, Siamak Ravanbakhsh | Lie Point Symmetry and Physics Informed Networks | NeurIPS 2023 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Symmetries have been leveraged to improve the generalization of neural
networks through different mechanisms from data augmentation to equivariant
architectures. However, despite their potential, their integration into neural
solvers for partial differential equations (PDEs) remains largely unexplored.
We explore the... | [
{
"created": "Tue, 7 Nov 2023 19:07:16 GMT",
"version": "v1"
}
] | 2023-11-09 | [
[
"Akhound-Sadegh",
"Tara",
""
],
[
"Perreault-Levasseur",
"Laurence",
""
],
[
"Brandstetter",
"Johannes",
""
],
[
"Welling",
"Max",
""
],
[
"Ravanbakhsh",
"Siamak",
""
]
] | Symmetries have been leveraged to improve the generalization of neural networks through different mechanisms from data augmentation to equivariant architectures. However, despite their potential, their integration into neural solvers for partial differential equations (PDEs) remains largely unexplored. We explore the i... |
2108.12375 | Ali Karimoddini | Muhammad Mobaidul Islam, Abdullah Al Redwan Newaz, and Ali Karimoddini | A Pedestrian Detection and Tracking Framework for Autonomous Cars:
Efficient Fusion of Camera and LiDAR Data | null | null | null | null | cs.CV cs.AI cs.LG cs.RO | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper presents a novel method for pedestrian detection and tracking by
fusing camera and LiDAR sensor data. To deal with the challenges associated
with the autonomous driving scenarios, an integrated tracking and detection
framework is proposed. The detection phase is performed by converting LiDAR
streams to com... | [
{
"created": "Fri, 27 Aug 2021 16:16:01 GMT",
"version": "v1"
}
] | 2021-08-30 | [
[
"Islam",
"Muhammad Mobaidul",
""
],
[
"Newaz",
"Abdullah Al Redwan",
""
],
[
"Karimoddini",
"Ali",
""
]
] | This paper presents a novel method for pedestrian detection and tracking by fusing camera and LiDAR sensor data. To deal with the challenges associated with the autonomous driving scenarios, an integrated tracking and detection framework is proposed. The detection phase is performed by converting LiDAR streams to compu... |
2104.07228 | Wenhao Yu | Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang | Sentence-Permuted Paragraph Generation | EMNLP 2021 (long paper) | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Generating paragraphs of diverse contents is important in many applications.
Existing generation models produce similar contents from homogenized contexts
due to the fixed left-to-right sentence order. Our idea is permuting the
sentence orders to improve the content diversity of multi-sentence paragraph.
We propose a... | [
{
"created": "Thu, 15 Apr 2021 04:17:03 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Sep 2021 05:41:59 GMT",
"version": "v2"
}
] | 2021-09-08 | [
[
"Yu",
"Wenhao",
""
],
[
"Zhu",
"Chenguang",
""
],
[
"Zhao",
"Tong",
""
],
[
"Guo",
"Zhichun",
""
],
[
"Jiang",
"Meng",
""
]
] | Generating paragraphs of diverse contents is important in many applications. Existing generation models produce similar contents from homogenized contexts due to the fixed left-to-right sentence order. Our idea is permuting the sentence orders to improve the content diversity of multi-sentence paragraph. We propose a n... |
2102.03234 | David Hafner | Vladlen Koltun, David Hafner | The h-index is no longer an effective correlate of scientific reputation | An interactive visualization of our work can be found at
https://h-frac.org | null | 10.1371/journal.pone.0253397 | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The impact of individual scientists is commonly quantified using
citation-based measures. The most common such measure is the h-index. A
scientist's h-index affects hiring, promotion, and funding decisions, and thus
shapes the progress of science. Here we report a large-scale study of
scientometric measures, analyzin... | [
{
"created": "Fri, 5 Feb 2021 15:28:39 GMT",
"version": "v1"
}
] | 2021-09-15 | [
[
"Koltun",
"Vladlen",
""
],
[
"Hafner",
"David",
""
]
] | The impact of individual scientists is commonly quantified using citation-based measures. The most common such measure is the h-index. A scientist's h-index affects hiring, promotion, and funding decisions, and thus shapes the progress of science. Here we report a large-scale study of scientometric measures, analyzing ... |
2303.11866 | Zaid Khan | Zaid Khan and Yun Fu | Contrastive Alignment of Vision to Language Through Parameter-Efficient
Transfer Learning | Accepted to ICLR 2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Contrastive vision-language models (e.g. CLIP) are typically created by
updating all the parameters of a vision model and language model through
contrastive training. Can such models be created by a small number of parameter
updates to an already-trained language model and vision model? The literature
describes techn... | [
{
"created": "Tue, 21 Mar 2023 14:12:08 GMT",
"version": "v1"
}
] | 2023-03-22 | [
[
"Khan",
"Zaid",
""
],
[
"Fu",
"Yun",
""
]
] | Contrastive vision-language models (e.g. CLIP) are typically created by updating all the parameters of a vision model and language model through contrastive training. Can such models be created by a small number of parameter updates to an already-trained language model and vision model? The literature describes techniq... |
2302.12689 | Silvan Mertes | Tobias Huber, Maximilian Demmler, Silvan Mertes, Matthew L. Olson,
Elisabeth Andr\'e | GANterfactual-RL: Understanding Reinforcement Learning Agents'
Strategies through Visual Counterfactual Explanations | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Counterfactual explanations are a common tool to explain artificial
intelligence models. For Reinforcement Learning (RL) agents, they answer "Why
not?" or "What if?" questions by illustrating what minimal change to a state is
needed such that an agent chooses a different action. Generating counterfactual
explanations... | [
{
"created": "Fri, 24 Feb 2023 15:29:43 GMT",
"version": "v1"
}
] | 2023-02-27 | [
[
"Huber",
"Tobias",
""
],
[
"Demmler",
"Maximilian",
""
],
[
"Mertes",
"Silvan",
""
],
[
"Olson",
"Matthew L.",
""
],
[
"André",
"Elisabeth",
""
]
] | Counterfactual explanations are a common tool to explain artificial intelligence models. For Reinforcement Learning (RL) agents, they answer "Why not?" or "What if?" questions by illustrating what minimal change to a state is needed such that an agent chooses a different action. Generating counterfactual explanations f... |
1805.11272 | Cecilia Summers | Cecilia Summers, Michael J. Dinneen | Improved Mixed-Example Data Augmentation | 9 pages | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In order to reduce overfitting, neural networks are typically trained with
data augmentation, the practice of artificially generating additional training
data via label-preserving transformations of existing training examples. While
these types of transformations make intuitive sense, recent work has
demonstrated tha... | [
{
"created": "Tue, 29 May 2018 07:06:58 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Jun 2018 06:50:22 GMT",
"version": "v2"
},
{
"created": "Thu, 18 Oct 2018 06:10:23 GMT",
"version": "v3"
},
{
"created": "Sat, 19 Jan 2019 07:04:35 GMT",
"version": "v4"
}
] | 2019-01-23 | [
[
"Summers",
"Cecilia",
""
],
[
"Dinneen",
"Michael J.",
""
]
] | In order to reduce overfitting, neural networks are typically trained with data augmentation, the practice of artificially generating additional training data via label-preserving transformations of existing training examples. While these types of transformations make intuitive sense, recent work has demonstrated that ... |
2306.00188 | Guangyao Zheng | Guangyao Zheng, Shuhao Lai, Vladimir Braverman, Michael A. Jacobs,
Vishwa S. Parekh | Multi-environment lifelong deep reinforcement learning for medical
imaging | null | null | null | null | cs.LG cs.CV eess.IV | http://creativecommons.org/licenses/by/4.0/ | Deep reinforcement learning(DRL) is increasingly being explored in medical
imaging. However, the environments for medical imaging tasks are constantly
evolving in terms of imaging orientations, imaging sequences, and pathologies.
To that end, we developed a Lifelong DRL framework, SERIL to continually learn
new tasks... | [
{
"created": "Wed, 31 May 2023 21:06:42 GMT",
"version": "v1"
}
] | 2023-06-02 | [
[
"Zheng",
"Guangyao",
""
],
[
"Lai",
"Shuhao",
""
],
[
"Braverman",
"Vladimir",
""
],
[
"Jacobs",
"Michael A.",
""
],
[
"Parekh",
"Vishwa S.",
""
]
] | Deep reinforcement learning(DRL) is increasingly being explored in medical imaging. However, the environments for medical imaging tasks are constantly evolving in terms of imaging orientations, imaging sequences, and pathologies. To that end, we developed a Lifelong DRL framework, SERIL to continually learn new tasks i... |
2112.06374 | Yunhai Han | Yunhai Han, Kelin Yu, Rahul Batra, Nathan Boyd, Chaitanya Mehta, Tuo
Zhao, Yu She, Seth Hutchinson, and Ye Zhao | Learning Generalizable Vision-Tactile Robotic Grasping Strategy for
Deformable Objects via Transformer | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reliable robotic grasping, especially with deformable objects such as fruits,
remains a challenging task due to underactuated contact interactions with a
gripper, unknown object dynamics and geometries. In this study, we propose a
Transformer-based robotic grasping framework for rigid grippers that leverage
tactile a... | [
{
"created": "Mon, 13 Dec 2021 02:07:21 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Dec 2021 03:42:03 GMT",
"version": "v2"
},
{
"created": "Tue, 8 Mar 2022 14:36:14 GMT",
"version": "v3"
},
{
"created": "Wed, 4 Jan 2023 03:07:44 GMT",
"version": "v4"
},
{
"cre... | 2023-07-25 | [
[
"Han",
"Yunhai",
""
],
[
"Yu",
"Kelin",
""
],
[
"Batra",
"Rahul",
""
],
[
"Boyd",
"Nathan",
""
],
[
"Mehta",
"Chaitanya",
""
],
[
"Zhao",
"Tuo",
""
],
[
"She",
"Yu",
""
],
[
"Hutchinson",
"Seth"... | Reliable robotic grasping, especially with deformable objects such as fruits, remains a challenging task due to underactuated contact interactions with a gripper, unknown object dynamics and geometries. In this study, we propose a Transformer-based robotic grasping framework for rigid grippers that leverage tactile and... |
2110.12334 | Jingyuan Yang | Jingyuan Yang, Xinbo Gao, Leida Li, Xiumei Wang, and Jinshan Ding | SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network | Accepted by TIP | in IEEE Transactions on Image Processing, vol. 30, pp. 8686-8701,
2021 | 10.1109/TIP.2021.3118983 | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Visual Emotion Analysis (VEA) aims at finding out how people feel emotionally
towards different visual stimuli, which has attracted great attention recently
with the prevalence of sharing images on social networks. Since human emotion
involves a highly complex and abstract cognitive process, it is difficult to
infer ... | [
{
"created": "Sun, 24 Oct 2021 02:41:41 GMT",
"version": "v1"
}
] | 2021-10-26 | [
[
"Yang",
"Jingyuan",
""
],
[
"Gao",
"Xinbo",
""
],
[
"Li",
"Leida",
""
],
[
"Wang",
"Xiumei",
""
],
[
"Ding",
"Jinshan",
""
]
] | Visual Emotion Analysis (VEA) aims at finding out how people feel emotionally towards different visual stimuli, which has attracted great attention recently with the prevalence of sharing images on social networks. Since human emotion involves a highly complex and abstract cognitive process, it is difficult to infer vi... |
1904.02348 | Yanchao Wang | Yan-Chao Wang and Feng Lin and Hock-Soon Seah | Orthogonal Voronoi Diagram and Treemap | null | null | null | null | cs.DS cs.GR cs.HC cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a novel space partitioning strategy for implicit
hierarchy visualization such that the new plot not only has a tidy layout
similar to the treemap, but also is flexible to data changes similar to the
Voronoi treemap. To achieve this, we define a new distance function and
neighborhood relation... | [
{
"created": "Thu, 4 Apr 2019 05:05:49 GMT",
"version": "v1"
}
] | 2020-09-17 | [
[
"Wang",
"Yan-Chao",
""
],
[
"Lin",
"Feng",
""
],
[
"Seah",
"Hock-Soon",
""
]
] | In this paper, we propose a novel space partitioning strategy for implicit hierarchy visualization such that the new plot not only has a tidy layout similar to the treemap, but also is flexible to data changes similar to the Voronoi treemap. To achieve this, we define a new distance function and neighborhood relationsh... |
1805.05132 | Chunbiao Zhu | Chunbiao Zhu, Wenhao Zhang, Thomas H. Li, Ge Li | Exploiting the Value of the Center-dark Channel Prior for Salient Object
Detection | Project website: https://chunbiaozhu.github.io/ACVR2017/ | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Saliency detection aims to detect the most attractive objects in images and
is widely used as a foundation for various applications. In this paper, we
propose a novel salient object detection algorithm for RGB-D images using
center-dark channel priors. First, we generate an initial saliency map based on
a color salie... | [
{
"created": "Mon, 14 May 2018 12:02:20 GMT",
"version": "v1"
}
] | 2018-05-15 | [
[
"Zhu",
"Chunbiao",
""
],
[
"Zhang",
"Wenhao",
""
],
[
"Li",
"Thomas H.",
""
],
[
"Li",
"Ge",
""
]
] | Saliency detection aims to detect the most attractive objects in images and is widely used as a foundation for various applications. In this paper, we propose a novel salient object detection algorithm for RGB-D images using center-dark channel priors. First, we generate an initial saliency map based on a color salienc... |
2210.05895 | Haodong Duan | Haodong Duan, Jiaqi Wang, Kai Chen, Dahua Lin | DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action
Recognition | Codes will be released in https://github.com/kennymckormick/pyskl | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph convolution networks (GCN) have been widely used in skeleton-based
action recognition. We note that existing GCN-based approaches primarily rely
on prescribed graphical structures (ie., a manually defined topology of
skeleton joints), which limits their flexibility to capture complicated
correlations between jo... | [
{
"created": "Wed, 12 Oct 2022 03:17:37 GMT",
"version": "v1"
}
] | 2022-10-13 | [
[
"Duan",
"Haodong",
""
],
[
"Wang",
"Jiaqi",
""
],
[
"Chen",
"Kai",
""
],
[
"Lin",
"Dahua",
""
]
] | Graph convolution networks (GCN) have been widely used in skeleton-based action recognition. We note that existing GCN-based approaches primarily rely on prescribed graphical structures (ie., a manually defined topology of skeleton joints), which limits their flexibility to capture complicated correlations between join... |
2407.12999 | Mihai Christodorescu | Mihai Christodorescu, Ryan Craven, Soheil Feizi, Neil Gong, Mia
Hoffmann, Somesh Jha, Zhengyuan Jiang, Mehrdad Saberi Kamarposhti, John
Mitchell, Jessica Newman, Emelia Probasco, Yanjun Qi, Khawaja Shams, Matthew
Turek | Securing the Future of GenAI: Policy and Technology | null | null | null | null | cs.CY cs.AI cs.CR | http://creativecommons.org/licenses/by/4.0/ | The rise of Generative AI (GenAI) brings about transformative potential
across sectors, but its dual-use nature also amplifies risks. Governments
globally are grappling with the challenge of regulating GenAI, balancing
innovation against safety. China, the United States (US), and the European
Union (EU) are at the fo... | [
{
"created": "Tue, 21 May 2024 20:30:01 GMT",
"version": "v1"
}
] | 2024-07-19 | [
[
"Christodorescu",
"Mihai",
""
],
[
"Craven",
"Ryan",
""
],
[
"Feizi",
"Soheil",
""
],
[
"Gong",
"Neil",
""
],
[
"Hoffmann",
"Mia",
""
],
[
"Jha",
"Somesh",
""
],
[
"Jiang",
"Zhengyuan",
""
],
[
"Kam... | The rise of Generative AI (GenAI) brings about transformative potential across sectors, but its dual-use nature also amplifies risks. Governments globally are grappling with the challenge of regulating GenAI, balancing innovation against safety. China, the United States (US), and the European Union (EU) are at the fore... |
2403.06173 | Johann Huber | Johann Huber, Fran\c{c}ois H\'el\'enon, Mathilde Kappel, Elie Chelly,
Mahdi Khoramshahi, Fa\"iz Ben Amar, St\'ephane Doncieux | Speeding up 6-DoF Grasp Sampling with Quality-Diversity | 7 pages, 8 figures. Preprint version | null | null | null | cs.RO cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in AI have led to significant results in robotic learning,
including natural language-conditioned planning and efficient optimization of
controllers using generative models. However, the interaction data remains the
bottleneck for generalization. Getting data for grasping is a critical
challenge, as t... | [
{
"created": "Sun, 10 Mar 2024 10:58:54 GMT",
"version": "v1"
}
] | 2024-03-12 | [
[
"Huber",
"Johann",
""
],
[
"Hélénon",
"François",
""
],
[
"Kappel",
"Mathilde",
""
],
[
"Chelly",
"Elie",
""
],
[
"Khoramshahi",
"Mahdi",
""
],
[
"Amar",
"Faïz Ben",
""
],
[
"Doncieux",
"Stéphane",
""
]
] | Recent advances in AI have led to significant results in robotic learning, including natural language-conditioned planning and efficient optimization of controllers using generative models. However, the interaction data remains the bottleneck for generalization. Getting data for grasping is a critical challenge, as thi... |
1904.01569 | Saining Xie | Saining Xie, Alexander Kirillov, Ross Girshick, Kaiming He | Exploring Randomly Wired Neural Networks for Image Recognition | Technical report | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural networks for image recognition have evolved through extensive manual
design from simple chain-like models to structures with multiple wiring paths.
The success of ResNets and DenseNets is due in large part to their innovative
wiring plans. Now, neural architecture search (NAS) studies are exploring the
joint o... | [
{
"created": "Tue, 2 Apr 2019 17:57:16 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Apr 2019 17:50:26 GMT",
"version": "v2"
}
] | 2019-04-09 | [
[
"Xie",
"Saining",
""
],
[
"Kirillov",
"Alexander",
""
],
[
"Girshick",
"Ross",
""
],
[
"He",
"Kaiming",
""
]
] | Neural networks for image recognition have evolved through extensive manual design from simple chain-like models to structures with multiple wiring paths. The success of ResNets and DenseNets is due in large part to their innovative wiring plans. Now, neural architecture search (NAS) studies are exploring the joint opt... |
1912.10702 | Bin Dai | Bin Dai, Ziyu Wang, David Wipf | The Usual Suspects? Reassessing Blame for VAE Posterior Collapse | null | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In narrow asymptotic settings Gaussian VAE models of continuous data have
been shown to possess global optima aligned with ground-truth distributions.
Even so, it is well known that poor solutions whereby the latent posterior
collapses to an uninformative prior are sometimes obtained in practice.
However, contrary to... | [
{
"created": "Mon, 23 Dec 2019 09:40:30 GMT",
"version": "v1"
}
] | 2019-12-24 | [
[
"Dai",
"Bin",
""
],
[
"Wang",
"Ziyu",
""
],
[
"Wipf",
"David",
""
]
] | In narrow asymptotic settings Gaussian VAE models of continuous data have been shown to possess global optima aligned with ground-truth distributions. Even so, it is well known that poor solutions whereby the latent posterior collapses to an uninformative prior are sometimes obtained in practice. However, contrary to c... |
1910.09704 | Vamsi Amalladinne | Vamsi K. Amalladinne, Jean-Francois Chamberland, Krishna R. Narayanan | An enhanced decoding algorithm for coded compressed sensing | Submitted to ICASSP2020 | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Coded compressed sensing is an algorithmic framework tailored to sparse
recovery in very large dimensional spaces. This framework is originally
envisioned for the unsourced multiple access channel, a wireless paradigm
attuned to machine-type communications. Coded compressed sensing uses a
divide-and-conquer approach ... | [
{
"created": "Tue, 22 Oct 2019 00:17:37 GMT",
"version": "v1"
}
] | 2019-10-23 | [
[
"Amalladinne",
"Vamsi K.",
""
],
[
"Chamberland",
"Jean-Francois",
""
],
[
"Narayanan",
"Krishna R.",
""
]
] | Coded compressed sensing is an algorithmic framework tailored to sparse recovery in very large dimensional spaces. This framework is originally envisioned for the unsourced multiple access channel, a wireless paradigm attuned to machine-type communications. Coded compressed sensing uses a divide-and-conquer approach to... |
2006.10909 | Yatin Chaudhary | Pankaj Gupta and Yatin Chaudhary and Thomas Runkler and Hinrich
Sch\"utze | Neural Topic Modeling with Continual Lifelong Learning | Accepted at ICML2020 (13 pages, 11 figures, 9 tables) | null | null | null | cs.CL cs.IR cs.LG cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Lifelong learning has recently attracted attention in building machine
learning systems that continually accumulate and transfer knowledge to help
future learning. Unsupervised topic modeling has been popularly used to
discover topics from document collections. However, the application of topic
modeling is challengin... | [
{
"created": "Fri, 19 Jun 2020 00:43:23 GMT",
"version": "v1"
},
{
"created": "Tue, 27 Jun 2023 05:32:12 GMT",
"version": "v2"
}
] | 2023-06-28 | [
[
"Gupta",
"Pankaj",
""
],
[
"Chaudhary",
"Yatin",
""
],
[
"Runkler",
"Thomas",
""
],
[
"Schütze",
"Hinrich",
""
]
] | Lifelong learning has recently attracted attention in building machine learning systems that continually accumulate and transfer knowledge to help future learning. Unsupervised topic modeling has been popularly used to discover topics from document collections. However, the application of topic modeling is challenging ... |
1806.07226 | Wei Jiang | Wei Jiang, Yan Wu | DFNet: Semantic Segmentation on Panoramic Images with Dynamic Loss
Weights and Residual Fusion Block | 6 pages,3 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For the self-driving and automatic parking, perception is the basic and
critical technique, moreover, the detection of lane markings and parking slots
is an important part of visual perception. In this paper, we use the semantic
segmentation method to segment the area and classify the class of lane makings
and parkin... | [
{
"created": "Mon, 11 Jun 2018 05:09:25 GMT",
"version": "v1"
}
] | 2018-06-20 | [
[
"Jiang",
"Wei",
""
],
[
"Wu",
"Yan",
""
]
] | For the self-driving and automatic parking, perception is the basic and critical technique, moreover, the detection of lane markings and parking slots is an important part of visual perception. In this paper, we use the semantic segmentation method to segment the area and classify the class of lane makings and parking ... |
2109.12008 | Bruno Taill\'e | Bruno Taill\'e, Vincent Guigue, Geoffrey Scoutheeten and Patrick
Gallinari | Separating Retention from Extraction in the Evaluation of End-to-end
Relation Extraction | Accepted at EMNLP 2021 | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | State-of-the-art NLP models can adopt shallow heuristics that limit their
generalization capability (McCoy et al., 2019). Such heuristics include lexical
overlap with the training set in Named-Entity Recognition (Taill\'e et al.,
2020) and Event or Type heuristics in Relation Extraction (Rosenman et al.,
2020). In th... | [
{
"created": "Fri, 24 Sep 2021 15:04:39 GMT",
"version": "v1"
}
] | 2021-09-27 | [
[
"Taillé",
"Bruno",
""
],
[
"Guigue",
"Vincent",
""
],
[
"Scoutheeten",
"Geoffrey",
""
],
[
"Gallinari",
"Patrick",
""
]
] | State-of-the-art NLP models can adopt shallow heuristics that limit their generalization capability (McCoy et al., 2019). Such heuristics include lexical overlap with the training set in Named-Entity Recognition (Taill\'e et al., 2020) and Event or Type heuristics in Relation Extraction (Rosenman et al., 2020). In the ... |
2402.15174 | Pablo Donato | Pablo Donato (PARTOUT) | The Flower Calculus | null | Leibniz International Proceedings in Informatics , 2024, 9th
International Conference on Formal Structures for Computation and Deduction
(FSCD 2024) (299), pp.5:1-5:24 | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce the flower calculus, a deep inference proof system for
intuitionistic first-order logic inspired by Peirce's existential graphs. It
works as a rewriting system over inductive objects called ''flowers'', that
enjoy both a graphical interpretation as topological diagrams, and a textual
presentation as nest... | [
{
"created": "Fri, 23 Feb 2024 08:13:22 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Jul 2024 08:45:34 GMT",
"version": "v2"
},
{
"created": "Mon, 15 Jul 2024 08:29:07 GMT",
"version": "v3"
}
] | 2024-07-16 | [
[
"Donato",
"Pablo",
"",
"PARTOUT"
]
] | We introduce the flower calculus, a deep inference proof system for intuitionistic first-order logic inspired by Peirce's existential graphs. It works as a rewriting system over inductive objects called ''flowers'', that enjoy both a graphical interpretation as topological diagrams, and a textual presentation as nested... |
1101.0698 | Gerhard de Koning Gans | Gerhard de Koning Gans and Eric R. Verheul | Best Effort and Practice Activation Codes | 15 pages, 3 figures, TrustBus 2011 | null | null | null | cs.CR cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Activation Codes are used in many different digital services and known by
many different names including voucher, e-coupon and discount code. In this
paper we focus on a specific class of ACs that are short, human-readable,
fixed-length and represent value. Even though this class of codes is
extensively used there ar... | [
{
"created": "Tue, 4 Jan 2011 10:41:27 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Jun 2011 11:26:51 GMT",
"version": "v2"
}
] | 2011-06-24 | [
[
"Gans",
"Gerhard de Koning",
""
],
[
"Verheul",
"Eric R.",
""
]
] | Activation Codes are used in many different digital services and known by many different names including voucher, e-coupon and discount code. In this paper we focus on a specific class of ACs that are short, human-readable, fixed-length and represent value. Even though this class of codes is extensively used there are ... |
1504.07384 | Andreas Pavlogiannis | Krishnendu Chatterjee and Rasmus Ibsen-Jensen and Andreas Pavlogiannis | Faster Algorithms for Quantitative Verification in Constant Treewidth
Graphs | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the core algorithmic problems related to verification of systems
with respect to three classical quantitative properties, namely, the
mean-payoff property, the ratio property, and the minimum initial credit for
energy property. The algorithmic problem given a graph and a quantitative
property asks to comp... | [
{
"created": "Tue, 28 Apr 2015 08:53:53 GMT",
"version": "v1"
}
] | 2015-04-29 | [
[
"Chatterjee",
"Krishnendu",
""
],
[
"Ibsen-Jensen",
"Rasmus",
""
],
[
"Pavlogiannis",
"Andreas",
""
]
] | We consider the core algorithmic problems related to verification of systems with respect to three classical quantitative properties, namely, the mean-payoff property, the ratio property, and the minimum initial credit for energy property. The algorithmic problem given a graph and a quantitative property asks to comput... |
2310.05597 | Molly Petersen | Molly R. Petersen, Lonneke van der Plas | Can language models learn analogical reasoning? Investigating training
objectives and comparisons to human performance | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | While analogies are a common way to evaluate word embeddings in NLP, it is
also of interest to investigate whether or not analogical reasoning is a task
in itself that can be learned. In this paper, we test several ways to learn
basic analogical reasoning, specifically focusing on analogies that are more
typical of w... | [
{
"created": "Mon, 9 Oct 2023 10:34:38 GMT",
"version": "v1"
},
{
"created": "Fri, 13 Oct 2023 15:07:28 GMT",
"version": "v2"
},
{
"created": "Sun, 22 Oct 2023 09:17:30 GMT",
"version": "v3"
},
{
"created": "Fri, 3 May 2024 10:22:13 GMT",
"version": "v4"
}
] | 2024-05-06 | [
[
"Petersen",
"Molly R.",
""
],
[
"van der Plas",
"Lonneke",
""
]
] | While analogies are a common way to evaluate word embeddings in NLP, it is also of interest to investigate whether or not analogical reasoning is a task in itself that can be learned. In this paper, we test several ways to learn basic analogical reasoning, specifically focusing on analogies that are more typical of wha... |
2206.06975 | Min Li | Zhengyuan Shi, Min Li, Sadaf Khan, Liuzheng Wang, Naixing Wang, Yu
Huang, Qiang Xu | DeepTPI: Test Point Insertion with Deep Reinforcement Learning | Accepted by ITC 2022 | null | null | null | cs.LG cs.AI cs.AR | http://creativecommons.org/licenses/by/4.0/ | Test point insertion (TPI) is a widely used technique for testability
enhancement, especially for logic built-in self-test (LBIST) due to its
relatively low fault coverage. In this paper, we propose a novel TPI approach
based on deep reinforcement learning (DRL), named DeepTPI. Unlike previous
learning-based solution... | [
{
"created": "Tue, 7 Jun 2022 14:13:42 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Jun 2022 13:56:05 GMT",
"version": "v2"
}
] | 2022-06-29 | [
[
"Shi",
"Zhengyuan",
""
],
[
"Li",
"Min",
""
],
[
"Khan",
"Sadaf",
""
],
[
"Wang",
"Liuzheng",
""
],
[
"Wang",
"Naixing",
""
],
[
"Huang",
"Yu",
""
],
[
"Xu",
"Qiang",
""
]
] | Test point insertion (TPI) is a widely used technique for testability enhancement, especially for logic built-in self-test (LBIST) due to its relatively low fault coverage. In this paper, we propose a novel TPI approach based on deep reinforcement learning (DRL), named DeepTPI. Unlike previous learning-based solutions ... |
2405.01734 | Jai Singhal | Ankush Jain, Rinav Gupta, Jai Singhal | Diabetic Retinopathy Detection Using Quantum Transfer Learning | 14 pages, 12 figures and 5 tables | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Diabetic Retinopathy (DR), a prevalent complication in diabetes patients, can
lead to vision impairment due to lesions formed on the retina. Detecting DR at
an advanced stage often results in irreversible blindness. The traditional
process of diagnosing DR through retina fundus images by ophthalmologists is
not only ... | [
{
"created": "Thu, 2 May 2024 21:09:39 GMT",
"version": "v1"
}
] | 2024-05-06 | [
[
"Jain",
"Ankush",
""
],
[
"Gupta",
"Rinav",
""
],
[
"Singhal",
"Jai",
""
]
] | Diabetic Retinopathy (DR), a prevalent complication in diabetes patients, can lead to vision impairment due to lesions formed on the retina. Detecting DR at an advanced stage often results in irreversible blindness. The traditional process of diagnosing DR through retina fundus images by ophthalmologists is not only ti... |
1904.00948 | Maxwell Scale Uwadia Osagie | Maxwell Scale Uwadia Osagie, Osatohanmwen Enagbonma and Amanda
Iriagbonse Inyang | The Historical Perspective of Botnet tools | null | null | 10.9734/CJAST/2019/v32i630040 | null | cs.CY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Bot as it is popularly called is an inherent attributes of botnet tool.
Botnet is a group of malicious tools acting as an entity. Furthermore, history
has it that the aim of what gave rise to botnet was the idea to simplify the
method of message exchange within networking platform. However, this has led to
several bo... | [
{
"created": "Sat, 2 Mar 2019 22:49:20 GMT",
"version": "v1"
}
] | 2019-04-02 | [
[
"Osagie",
"Maxwell Scale Uwadia",
""
],
[
"Enagbonma",
"Osatohanmwen",
""
],
[
"Inyang",
"Amanda Iriagbonse",
""
]
] | Bot as it is popularly called is an inherent attributes of botnet tool. Botnet is a group of malicious tools acting as an entity. Furthermore, history has it that the aim of what gave rise to botnet was the idea to simplify the method of message exchange within networking platform. However, this has led to several botn... |
2407.18571 | Mahmoud Salhab | Mahmoud Salhab and Haidar Harmanani | Speech Bandwidth Expansion Via High Fidelity Generative Adversarial
Networks | null | null | null | null | cs.SD cs.AI eess.AS | http://creativecommons.org/licenses/by/4.0/ | Speech bandwidth expansion is crucial for expanding the frequency range of
low-bandwidth speech signals, thereby improving audio quality, clarity and
perceptibility in digital applications. Its applications span telephony,
compression, text-to-speech synthesis, and speech recognition. This paper
presents a novel appr... | [
{
"created": "Fri, 26 Jul 2024 07:54:47 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Jul 2024 07:29:17 GMT",
"version": "v2"
}
] | 2024-07-30 | [
[
"Salhab",
"Mahmoud",
""
],
[
"Harmanani",
"Haidar",
""
]
] | Speech bandwidth expansion is crucial for expanding the frequency range of low-bandwidth speech signals, thereby improving audio quality, clarity and perceptibility in digital applications. Its applications span telephony, compression, text-to-speech synthesis, and speech recognition. This paper presents a novel approa... |
2009.13957 | Jinting Wu | Jinting Wu, Yujia Zhang and Xiaoguang Zhao | A Prototype-Based Generalized Zero-Shot Learning Framework for Hand
Gesture Recognition | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hand gesture recognition plays a significant role in human-computer
interaction for understanding various human gestures and their intent. However,
most prior works can only recognize gestures of limited labeled classes and
fail to adapt to new categories. The task of Generalized Zero-Shot Learning
(GZSL) for hand ge... | [
{
"created": "Tue, 29 Sep 2020 12:18:35 GMT",
"version": "v1"
}
] | 2020-09-30 | [
[
"Wu",
"Jinting",
""
],
[
"Zhang",
"Yujia",
""
],
[
"Zhao",
"Xiaoguang",
""
]
] | Hand gesture recognition plays a significant role in human-computer interaction for understanding various human gestures and their intent. However, most prior works can only recognize gestures of limited labeled classes and fail to adapt to new categories. The task of Generalized Zero-Shot Learning (GZSL) for hand gest... |
2005.06803 | Limin Wang | Zhaoyang Liu, Limin Wang, Wayne Wu, Chen Qian, Tong Lu | TAM: Temporal Adaptive Module for Video Recognition | ICCV 2021 camera-ready version. Code is available at
https://github.com/liu-zhy/temporal-adaptive-module | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Video data is with complex temporal dynamics due to various factors such as
camera motion, speed variation, and different activities. To effectively
capture this diverse motion pattern, this paper presents a new temporal
adaptive module ({\bf TAM}) to generate video-specific temporal kernels based
on its own feature ... | [
{
"created": "Thu, 14 May 2020 08:22:45 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Oct 2020 02:00:40 GMT",
"version": "v2"
},
{
"created": "Wed, 18 Aug 2021 12:19:06 GMT",
"version": "v3"
}
] | 2021-08-19 | [
[
"Liu",
"Zhaoyang",
""
],
[
"Wang",
"Limin",
""
],
[
"Wu",
"Wayne",
""
],
[
"Qian",
"Chen",
""
],
[
"Lu",
"Tong",
""
]
] | Video data is with complex temporal dynamics due to various factors such as camera motion, speed variation, and different activities. To effectively capture this diverse motion pattern, this paper presents a new temporal adaptive module ({\bf TAM}) to generate video-specific temporal kernels based on its own feature ma... |
2404.04405 | Haiguang Li | Haiguang Li, Usama Pervaiz, Micha{\l} Matuszak, Robert Kamara, Gilles
Roux, Trausti Thormundsson, Joseph Antognini | Dynamic Switch Layers For Unsupervised Learning | Initial Submission | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | On-device machine learning (ODML) enables intelligent applications on
resource-constrained devices. However, power consumption poses a major
challenge, forcing a trade-off between model accuracy and power efficiency that
often limits model complexity. The previously established Gated Compression
(GC) layers offer a s... | [
{
"created": "Fri, 5 Apr 2024 21:03:11 GMT",
"version": "v1"
}
] | 2024-04-09 | [
[
"Li",
"Haiguang",
""
],
[
"Pervaiz",
"Usama",
""
],
[
"Matuszak",
"Michał",
""
],
[
"Kamara",
"Robert",
""
],
[
"Roux",
"Gilles",
""
],
[
"Thormundsson",
"Trausti",
""
],
[
"Antognini",
"Joseph",
""
]
] | On-device machine learning (ODML) enables intelligent applications on resource-constrained devices. However, power consumption poses a major challenge, forcing a trade-off between model accuracy and power efficiency that often limits model complexity. The previously established Gated Compression (GC) layers offer a sol... |
2406.08188 | Bruno Roy | Bruno Roy | Attention-Based Learning for Fluid State Interpolation and Editing in a
Time-Continuous Framework | 5 pages, 3 figures, submitted and accepted to SIGGRAPH | null | 10.1145/3641234.3671085 | null | cs.LG cs.GR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In this work, we introduce FluidsFormer: a transformer-based approach for
fluid interpolation within a continuous-time framework. By combining the
capabilities of PITT and a residual neural network (RNN), we analytically
predict the physical properties of the fluid state. This enables us to
interpolate substep frames... | [
{
"created": "Wed, 12 Jun 2024 13:19:42 GMT",
"version": "v1"
}
] | 2024-06-13 | [
[
"Roy",
"Bruno",
""
]
] | In this work, we introduce FluidsFormer: a transformer-based approach for fluid interpolation within a continuous-time framework. By combining the capabilities of PITT and a residual neural network (RNN), we analytically predict the physical properties of the fluid state. This enables us to interpolate substep frames b... |
2310.08659 | Yixiao Li | Yixiao Li, Yifan Yu, Chen Liang, Pengcheng He, Nikos Karampatziakis,
Weizhu Chen, Tuo Zhao | LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models | null | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quantization is an indispensable technique for serving Large Language Models
(LLMs) and has recently found its way into LoRA fine-tuning. In this work we
focus on the scenario where quantization and LoRA fine-tuning are applied
together on a pre-trained model. In such cases it is common to observe a
consistent gap in... | [
{
"created": "Thu, 12 Oct 2023 18:34:08 GMT",
"version": "v1"
},
{
"created": "Tue, 17 Oct 2023 01:35:10 GMT",
"version": "v2"
},
{
"created": "Mon, 23 Oct 2023 02:49:42 GMT",
"version": "v3"
},
{
"created": "Tue, 28 Nov 2023 16:06:59 GMT",
"version": "v4"
}
] | 2023-11-29 | [
[
"Li",
"Yixiao",
""
],
[
"Yu",
"Yifan",
""
],
[
"Liang",
"Chen",
""
],
[
"He",
"Pengcheng",
""
],
[
"Karampatziakis",
"Nikos",
""
],
[
"Chen",
"Weizhu",
""
],
[
"Zhao",
"Tuo",
""
]
] | Quantization is an indispensable technique for serving Large Language Models (LLMs) and has recently found its way into LoRA fine-tuning. In this work we focus on the scenario where quantization and LoRA fine-tuning are applied together on a pre-trained model. In such cases it is common to observe a consistent gap in t... |
2208.13714 | Qingsong Yan | Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng | SphereDepth: Panorama Depth Estimation from Spherical Domain | Conference accept at 3DV 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The panorama image can simultaneously demonstrate complete information of the
surrounding environment and has many advantages in virtual tourism, games,
robotics, etc. However, the progress of panorama depth estimation cannot
completely solve the problems of distortion and discontinuity caused by the
commonly used pr... | [
{
"created": "Mon, 29 Aug 2022 16:50:19 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Aug 2022 03:01:52 GMT",
"version": "v2"
},
{
"created": "Sun, 4 Dec 2022 16:51:00 GMT",
"version": "v3"
}
] | 2022-12-06 | [
[
"Yan",
"Qingsong",
""
],
[
"Wang",
"Qiang",
""
],
[
"Zhao",
"Kaiyong",
""
],
[
"Li",
"Bo",
""
],
[
"Chu",
"Xiaowen",
""
],
[
"Deng",
"Fei",
""
]
] | The panorama image can simultaneously demonstrate complete information of the surrounding environment and has many advantages in virtual tourism, games, robotics, etc. However, the progress of panorama depth estimation cannot completely solve the problems of distortion and discontinuity caused by the commonly used proj... |
2312.03897 | Tiago Pimentel | Tiago Pimentel, Clara Meister, Ethan Gotlieb Wilcox, Kyle Mahowald,
Ryan Cotterell | Revisiting the Optimality of Word Lengths | Published at EMNLP 2023 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Zipf (1935) posited that wordforms are optimized to minimize utterances'
communicative costs. Under the assumption that cost is given by an utterance's
length, he supported this claim by showing that words' lengths are inversely
correlated with their frequencies. Communicative cost, however, can be
operationalized in... | [
{
"created": "Wed, 6 Dec 2023 20:41:47 GMT",
"version": "v1"
}
] | 2023-12-08 | [
[
"Pimentel",
"Tiago",
""
],
[
"Meister",
"Clara",
""
],
[
"Wilcox",
"Ethan Gotlieb",
""
],
[
"Mahowald",
"Kyle",
""
],
[
"Cotterell",
"Ryan",
""
]
] | Zipf (1935) posited that wordforms are optimized to minimize utterances' communicative costs. Under the assumption that cost is given by an utterance's length, he supported this claim by showing that words' lengths are inversely correlated with their frequencies. Communicative cost, however, can be operationalized in d... |
2202.04696 | Amir Masoud Jafarpisheh | Amir Masoud Jafarpisheh, Mahtab Mirmohseni, and Mohammad Ali
Maddah-Ali | Distributed Attribute-based Private Access Control | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In attribute-based access control, users with certain verified attributes
will gain access to some particular data. Concerning with privacy of the users'
attributes, we study the problem of distributed attribute-based private access
control (DAPAC) with multiple authorities, where each authority will learn and
verify... | [
{
"created": "Wed, 9 Feb 2022 19:44:53 GMT",
"version": "v1"
}
] | 2022-02-11 | [
[
"Jafarpisheh",
"Amir Masoud",
""
],
[
"Mirmohseni",
"Mahtab",
""
],
[
"Maddah-Ali",
"Mohammad Ali",
""
]
] | In attribute-based access control, users with certain verified attributes will gain access to some particular data. Concerning with privacy of the users' attributes, we study the problem of distributed attribute-based private access control (DAPAC) with multiple authorities, where each authority will learn and verify o... |
2104.07414 | AnChen Li | Anchen Li, Bo Yang, Hongxu Chen, Guandong Xu | Hyperbolic Neural Collaborative Recommender | arXiv admin note: substantial text overlap with arXiv:2102.09389 | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper explores the use of hyperbolic geometry and deep learning
techniques for recommendation. We present Hyperbolic Neural Collaborative
Recommender (HNCR), a deep hyperbolic representation learning method that
exploits mutual semantic relations among users/items for collaborative
filtering (CF) tasks. HNCR con... | [
{
"created": "Thu, 15 Apr 2021 12:28:09 GMT",
"version": "v1"
}
] | 2021-04-16 | [
[
"Li",
"Anchen",
""
],
[
"Yang",
"Bo",
""
],
[
"Chen",
"Hongxu",
""
],
[
"Xu",
"Guandong",
""
]
] | This paper explores the use of hyperbolic geometry and deep learning techniques for recommendation. We present Hyperbolic Neural Collaborative Recommender (HNCR), a deep hyperbolic representation learning method that exploits mutual semantic relations among users/items for collaborative filtering (CF) tasks. HNCR conta... |
2404.15882 | Eunsu Baek | Eunsu Baek, Keondo Park, Jiyoon Kim and Hyung-Sin Kim | Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts
in Environment and Sensor Domains | Published as a conference paper at CVPR 2024 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Computer vision applications predict on digital images acquired by a camera
from physical scenes through light. However, conventional robustness benchmarks
rely on perturbations in digitized images, diverging from distribution shifts
occurring in the image acquisition process. To bridge this gap, we introduce a
new d... | [
{
"created": "Wed, 24 Apr 2024 13:59:19 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Apr 2024 05:38:52 GMT",
"version": "v2"
}
] | 2024-04-26 | [
[
"Baek",
"Eunsu",
""
],
[
"Park",
"Keondo",
""
],
[
"Kim",
"Jiyoon",
""
],
[
"Kim",
"Hyung-Sin",
""
]
] | Computer vision applications predict on digital images acquired by a camera from physical scenes through light. However, conventional robustness benchmarks rely on perturbations in digitized images, diverging from distribution shifts occurring in the image acquisition process. To bridge this gap, we introduce a new dis... |
2304.05368 | Yun Zhao | Yuqing Wang, Yun Zhao, Linda Petzold | Are Large Language Models Ready for Healthcare? A Comparative Study on
Clinical Language Understanding | 24 pages | Machine Learning for Healthcare Conference, PMLR, 2023 | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Large language models (LLMs) have made significant progress in various
domains, including healthcare. However, the specialized nature of clinical
language understanding tasks presents unique challenges and limitations that
warrant further investigation. In this study, we conduct a comprehensive
evaluation of state-of... | [
{
"created": "Sun, 9 Apr 2023 16:31:47 GMT",
"version": "v1"
},
{
"created": "Thu, 13 Apr 2023 05:32:44 GMT",
"version": "v2"
},
{
"created": "Sun, 30 Jul 2023 19:09:02 GMT",
"version": "v3"
}
] | 2023-08-01 | [
[
"Wang",
"Yuqing",
""
],
[
"Zhao",
"Yun",
""
],
[
"Petzold",
"Linda",
""
]
] | Large language models (LLMs) have made significant progress in various domains, including healthcare. However, the specialized nature of clinical language understanding tasks presents unique challenges and limitations that warrant further investigation. In this study, we conduct a comprehensive evaluation of state-of-t... |
1901.03728 | Valsamis Ntouskos | Fiora Pirri, Lorenzo Mauro, Edoardo Alati, Valsamis Ntouskos, Mahdieh
Izadpanahkakhk, Elham Omrani | Anticipation and next action forecasting in video: an end-to-end model
with memory | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Action anticipation and forecasting in videos do not require a hat-trick, as
far as there are signs in the context to foresee how actions are going to be
deployed. Capturing these signs is hard because the context includes the past.
We propose an end-to-end network for action anticipation and forecasting with
memory,... | [
{
"created": "Fri, 11 Jan 2019 19:47:53 GMT",
"version": "v1"
}
] | 2019-01-15 | [
[
"Pirri",
"Fiora",
""
],
[
"Mauro",
"Lorenzo",
""
],
[
"Alati",
"Edoardo",
""
],
[
"Ntouskos",
"Valsamis",
""
],
[
"Izadpanahkakhk",
"Mahdieh",
""
],
[
"Omrani",
"Elham",
""
]
] | Action anticipation and forecasting in videos do not require a hat-trick, as far as there are signs in the context to foresee how actions are going to be deployed. Capturing these signs is hard because the context includes the past. We propose an end-to-end network for action anticipation and forecasting with memory, t... |
2405.16494 | Hao Hao | Hao Hao, Xiaoqun Zhang, Bingdong Li and Aimin Zhou | A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted
Evolutionary Algorithms | null | null | null | null | cs.NE | http://creativecommons.org/licenses/by/4.0/ | Surrogate-assisted Evolutionary Algorithm (SAEA) is an essential method for
solving expensive expensive problems. Utilizing surrogate models to substitute
the optimization function can significantly reduce reliance on the function
evaluations during the search process, thereby lowering the optimization costs.
The con... | [
{
"created": "Sun, 26 May 2024 09:12:44 GMT",
"version": "v1"
}
] | 2024-05-28 | [
[
"Hao",
"Hao",
""
],
[
"Zhang",
"Xiaoqun",
""
],
[
"Li",
"Bingdong",
""
],
[
"Zhou",
"Aimin",
""
]
] | Surrogate-assisted Evolutionary Algorithm (SAEA) is an essential method for solving expensive expensive problems. Utilizing surrogate models to substitute the optimization function can significantly reduce reliance on the function evaluations during the search process, thereby lowering the optimization costs. The const... |
1810.03611 | Marc-Etienne Brunet | Marc-Etienne Brunet, Colleen Alkalay-Houlihan, Ashton Anderson,
Richard Zemel | Understanding the Origins of Bias in Word Embeddings | null | null | null | null | cs.LG cs.CY stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The power of machine learning systems not only promises great technical
progress, but risks societal harm. As a recent example, researchers have shown
that popular word embedding algorithms exhibit stereotypical biases, such as
gender bias. The widespread use of these algorithms in machine learning
systems, from auto... | [
{
"created": "Mon, 8 Oct 2018 18:00:00 GMT",
"version": "v1"
},
{
"created": "Fri, 7 Jun 2019 18:26:54 GMT",
"version": "v2"
}
] | 2019-06-11 | [
[
"Brunet",
"Marc-Etienne",
""
],
[
"Alkalay-Houlihan",
"Colleen",
""
],
[
"Anderson",
"Ashton",
""
],
[
"Zemel",
"Richard",
""
]
] | The power of machine learning systems not only promises great technical progress, but risks societal harm. As a recent example, researchers have shown that popular word embedding algorithms exhibit stereotypical biases, such as gender bias. The widespread use of these algorithms in machine learning systems, from automa... |
1601.01597 | Jonathan S Turner | Jonathan Turner | Grafalgo - A Library of Graph Algorithms and Supporting Data Structures
(revised) | null | null | null | WUCSE-2016-01 | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This report provides an (updated) overview of {\sl Grafalgo}, an open-source
library of graph algorithms and the data structures used to implement them. The
programs in this library were originally written to support a graduate class in
advanced data structures and algorithms at Washington University. Because the
cod... | [
{
"created": "Thu, 7 Jan 2016 16:57:17 GMT",
"version": "v1"
}
] | 2016-01-08 | [
[
"Turner",
"Jonathan",
""
]
] | This report provides an (updated) overview of {\sl Grafalgo}, an open-source library of graph algorithms and the data structures used to implement them. The programs in this library were originally written to support a graduate class in advanced data structures and algorithms at Washington University. Because the code'... |
0911.4329 | Ki-Hoon Lee | Ki-Hoon Lee, Kyu-Young Whang, Wook-Shin Han, and Min-Soo Kim | Structural Consistency: Enabling XML Keyword Search to Eliminate
Spurious Results Consistently | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | XML keyword search is a user-friendly way to query XML data using only
keywords. In XML keyword search, to achieve high precision without sacrificing
recall, it is important to remove spurious results not intended by the user.
Efforts to eliminate spurious results have enjoyed some success by using the
concepts of LC... | [
{
"created": "Mon, 23 Nov 2009 06:45:37 GMT",
"version": "v1"
},
{
"created": "Tue, 24 Nov 2009 01:00:10 GMT",
"version": "v2"
}
] | 2009-11-24 | [
[
"Lee",
"Ki-Hoon",
""
],
[
"Whang",
"Kyu-Young",
""
],
[
"Han",
"Wook-Shin",
""
],
[
"Kim",
"Min-Soo",
""
]
] | XML keyword search is a user-friendly way to query XML data using only keywords. In XML keyword search, to achieve high precision without sacrificing recall, it is important to remove spurious results not intended by the user. Efforts to eliminate spurious results have enjoyed some success by using the concepts of LCA ... |
2303.15663 | Ankita Agarwal | Ankita Agarwal (1), Tanvi Banerjee (1), Joy Gockel (2), Saniya LeBlanc
(3), Joe Walker (4), John Middendorf (4) ((1) Wright State University, (2)
Colorado School of Mines, (3) The George Washington University, (4) Open
Additive, LLC) | Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser
Powder Bed Fusion Additive Manufacturing | 8 pages, 2 figures, 2 tables, accepted at Data Science for Smart
Manufacturing and Healthcare workshop (DS2-MH) at SIAM International
Conference on Data Mining (SDM23) conference | null | null | null | cs.LG cs.CE | http://creativecommons.org/licenses/by/4.0/ | An additive manufacturing (AM) process, like laser powder bed fusion, allows
for the fabrication of objects by spreading and melting powder in layers until
a freeform part shape is created. In order to improve the properties of the
material involved in the AM process, it is important to predict the material
character... | [
{
"created": "Tue, 28 Mar 2023 01:09:15 GMT",
"version": "v1"
}
] | 2023-03-29 | [
[
"Agarwal",
"Ankita",
""
],
[
"Banerjee",
"Tanvi",
""
],
[
"Gockel",
"Joy",
""
],
[
"LeBlanc",
"Saniya",
""
],
[
"Walker",
"Joe",
""
],
[
"Middendorf",
"John",
""
]
] | An additive manufacturing (AM) process, like laser powder bed fusion, allows for the fabrication of objects by spreading and melting powder in layers until a freeform part shape is created. In order to improve the properties of the material involved in the AM process, it is important to predict the material characteriz... |
2103.12195 | Shayan Zargari | Shayan Zargari, Ata Khalili, Qingqing Wu, Mohammad Robat Mili, and
Derrick Wing Kwan Ng | Max-Min Fair Energy-Efficient Beamforming Design for Intelligent
Reflecting Surface-Aided SWIPT Systems with Non-linear Energy Harvesting
Model | Minor Revision by IEEE TVT | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper considers an intelligent reflecting sur-face (IRS)-aided
simultaneous wireless information and power transfer (SWIPT) network, where
multiple users decode data and harvest energy from the transmitted signal of a
transmit-ter. The proposed design framework exploits the cost-effective IRS to
establish favora... | [
{
"created": "Mon, 22 Mar 2021 21:57:51 GMT",
"version": "v1"
}
] | 2021-03-24 | [
[
"Zargari",
"Shayan",
""
],
[
"Khalili",
"Ata",
""
],
[
"Wu",
"Qingqing",
""
],
[
"Mili",
"Mohammad Robat",
""
],
[
"Ng",
"Derrick Wing Kwan",
""
]
] | This paper considers an intelligent reflecting sur-face (IRS)-aided simultaneous wireless information and power transfer (SWIPT) network, where multiple users decode data and harvest energy from the transmitted signal of a transmit-ter. The proposed design framework exploits the cost-effective IRS to establish favorabl... |
2406.03793 | Yue Xu | Yue Xu, Zhilin Lin, Yusong Qiu, Cewu Lu, Yong-Lu Li | Low-Rank Similarity Mining for Multimodal Dataset Distillation | Accepted at ICML 2024 | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Though dataset distillation has witnessed rapid development in recent years,
the distillation of multimodal data, e.g., image-text pairs, poses unique and
under-explored challenges. Unlike unimodal data, image-text contrastive
learning (ITC) data lack inherent categorization and should instead place
greater emphasis ... | [
{
"created": "Thu, 6 Jun 2024 07:05:20 GMT",
"version": "v1"
}
] | 2024-06-07 | [
[
"Xu",
"Yue",
""
],
[
"Lin",
"Zhilin",
""
],
[
"Qiu",
"Yusong",
""
],
[
"Lu",
"Cewu",
""
],
[
"Li",
"Yong-Lu",
""
]
] | Though dataset distillation has witnessed rapid development in recent years, the distillation of multimodal data, e.g., image-text pairs, poses unique and under-explored challenges. Unlike unimodal data, image-text contrastive learning (ITC) data lack inherent categorization and should instead place greater emphasis on... |
1907.05231 | Shuai Ma | Shuai Ma and Jia Yuan Yu | Variance-Based Risk Estimations in Markov Processes via Transformation
with State Lumping | 7 pages, 7 figures, SMC 2019 accepted. arXiv admin note: text overlap
with arXiv:1907.04269 | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Variance plays a crucial role in risk-sensitive reinforcement learning, and
most risk measures can be analyzed via variance. In this paper, we consider two
law-invariant risks as examples: mean-variance risk and exponential utility
risk. With the aid of the state-augmentation transformation (SAT), we show
that, the t... | [
{
"created": "Tue, 9 Jul 2019 16:04:33 GMT",
"version": "v1"
}
] | 2019-07-12 | [
[
"Ma",
"Shuai",
""
],
[
"Yu",
"Jia Yuan",
""
]
] | Variance plays a crucial role in risk-sensitive reinforcement learning, and most risk measures can be analyzed via variance. In this paper, we consider two law-invariant risks as examples: mean-variance risk and exponential utility risk. With the aid of the state-augmentation transformation (SAT), we show that, the two... |
2406.14442 | Elisa G\'omez De Lope | Elisa G\'omez de Lope, Saurabh Deshpande, Ram\'on Vi\~nas Torn\'e,
Pietro Li\`o, Enrico Glaab (on behalf of the NCER-PD consortium) and
St\'ephane P. A. Bordas | Graph Representation Learning Strategies for Omics Data: A Case Study on
Parkinson's Disease | Submitted to Machine Learning in Computational Biology 2024 as an
extended abstract, 2 pages + 1 appendix | null | null | null | cs.LG cs.AI cs.CE q-bio.BM q-bio.MN | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Omics data analysis is crucial for studying complex diseases, but its high
dimensionality and heterogeneity challenge classical statistical and machine
learning methods. Graph neural networks have emerged as promising alternatives,
yet the optimal strategies for their design and optimization in real-world
biomedical ... | [
{
"created": "Thu, 20 Jun 2024 16:06:39 GMT",
"version": "v1"
}
] | 2024-06-24 | [
[
"de Lope",
"Elisa Gómez",
"",
"on behalf of the NCER-PD consortium"
],
[
"Deshpande",
"Saurabh",
"",
"on behalf of the NCER-PD consortium"
],
[
"Torné",
"Ramón Viñas",
"",
"on behalf of the NCER-PD consortium"
],
[
"Liò",
"Pietro",
"",
"o... | Omics data analysis is crucial for studying complex diseases, but its high dimensionality and heterogeneity challenge classical statistical and machine learning methods. Graph neural networks have emerged as promising alternatives, yet the optimal strategies for their design and optimization in real-world biomedical ch... |
2106.02435 | Shaokun Zhang | Shaokun Zhang, Xiawu Zheng, Chenyi Yang, Yuchao Li, Yan Wang, Fei
Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji | You Only Compress Once: Towards Effective and Elastic BERT Compression
via Exploit-Explore Stochastic Nature Gradient | 12 pages, 3 figures | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Despite superior performance on various natural language processing tasks,
pre-trained models such as BERT are challenged by deploying on
resource-constraint devices. Most existing model compression approaches require
re-compression or fine-tuning across diverse constraints to accommodate various
hardware deployments... | [
{
"created": "Fri, 4 Jun 2021 12:17:44 GMT",
"version": "v1"
}
] | 2021-06-07 | [
[
"Zhang",
"Shaokun",
""
],
[
"Zheng",
"Xiawu",
""
],
[
"Yang",
"Chenyi",
""
],
[
"Li",
"Yuchao",
""
],
[
"Wang",
"Yan",
""
],
[
"Chao",
"Fei",
""
],
[
"Wang",
"Mengdi",
""
],
[
"Li",
"Shen",
... | Despite superior performance on various natural language processing tasks, pre-trained models such as BERT are challenged by deploying on resource-constraint devices. Most existing model compression approaches require re-compression or fine-tuning across diverse constraints to accommodate various hardware deployments. ... |
1410.1639 | Yichen Jiang | Yichen Jiang, Yi Ji, Tianhua Liu | An Anonymous Communication Scheme based on Ring Signature in VANETs | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vehicular ad hoc networks allow vehicles to connect themselves as networks so
that cars could communicate with each other. This paper introduces an anonymous
communication scheme providing integrity protection, multi-level privacy and
auditability. The scheme is based on a certificateless ring signature proposed
in t... | [
{
"created": "Tue, 7 Oct 2014 08:31:34 GMT",
"version": "v1"
}
] | 2014-10-08 | [
[
"Jiang",
"Yichen",
""
],
[
"Ji",
"Yi",
""
],
[
"Liu",
"Tianhua",
""
]
] | Vehicular ad hoc networks allow vehicles to connect themselves as networks so that cars could communicate with each other. This paper introduces an anonymous communication scheme providing integrity protection, multi-level privacy and auditability. The scheme is based on a certificateless ring signature proposed in thi... |
2311.07822 | Pei Zhang | Pei Zhang, Zhaobo Hua, Jinliang Ding | A Central Motor System Inspired Pre-training Reinforcement Learning for
Robotic Control | null | null | null | null | cs.RO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Designing controllers to achieve natural motor capabilities for multi-joint
robots is a significant challenge. However, animals in nature are naturally
with basic motor abilities and can master various complex motor skills through
acquired learning. On the basis of analyzing the mechanism of the central motor
system ... | [
{
"created": "Tue, 14 Nov 2023 00:49:12 GMT",
"version": "v1"
},
{
"created": "Tue, 5 Dec 2023 00:47:30 GMT",
"version": "v2"
},
{
"created": "Tue, 16 Jul 2024 06:57:18 GMT",
"version": "v3"
}
] | 2024-07-17 | [
[
"Zhang",
"Pei",
""
],
[
"Hua",
"Zhaobo",
""
],
[
"Ding",
"Jinliang",
""
]
] | Designing controllers to achieve natural motor capabilities for multi-joint robots is a significant challenge. However, animals in nature are naturally with basic motor abilities and can master various complex motor skills through acquired learning. On the basis of analyzing the mechanism of the central motor system in... |
2008.06069 | Changjae Oh | Ali Shahin Shamsabadi, Changjae Oh, Andrea Cavallaro | Semantically Adversarial Learnable Filters | 13 pages | IEEE Transactions on Image Processing, 2021 | 10.1109/TIP.2021.3112290 | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an adversarial framework to craft perturbations that mislead
classifiers by accounting for the image content and the semantics of the
labels. The proposed framework combines a structure loss and a semantic
adversarial loss in a multi-task objective function to train a fully
convolutional neural network. Th... | [
{
"created": "Thu, 13 Aug 2020 18:12:40 GMT",
"version": "v1"
},
{
"created": "Sun, 2 May 2021 18:12:06 GMT",
"version": "v2"
},
{
"created": "Tue, 5 Apr 2022 21:03:21 GMT",
"version": "v3"
}
] | 2022-04-07 | [
[
"Shamsabadi",
"Ali Shahin",
""
],
[
"Oh",
"Changjae",
""
],
[
"Cavallaro",
"Andrea",
""
]
] | We present an adversarial framework to craft perturbations that mislead classifiers by accounting for the image content and the semantics of the labels. The proposed framework combines a structure loss and a semantic adversarial loss in a multi-task objective function to train a fully convolutional neural network. The ... |
2307.09819 | Dimitrios Panteleimon Giakatos | Ilias Dimitriadis, Dimitrios P. Giakatos, Stelios Karamanidis, Pavlos
Sermpezis, Kelly Kiki, Athena Vakali | Analyzing large scale political discussions on Twitter: the use case of
the Greek wiretapping scandal (#ypoklopes) | null | null | null | null | cs.SI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In this paper, we study the Greek wiretappings scandal, which has been
revealed in 2022 and attracted a lot of attention by press and citizens.
Specifically, we propose a methodology for collecting data and analyzing
patterns of online public discussions on Twitter. We apply our methodology to
the Greek wiretappings ... | [
{
"created": "Wed, 19 Jul 2023 08:08:00 GMT",
"version": "v1"
}
] | 2023-07-20 | [
[
"Dimitriadis",
"Ilias",
""
],
[
"Giakatos",
"Dimitrios P.",
""
],
[
"Karamanidis",
"Stelios",
""
],
[
"Sermpezis",
"Pavlos",
""
],
[
"Kiki",
"Kelly",
""
],
[
"Vakali",
"Athena",
""
]
] | In this paper, we study the Greek wiretappings scandal, which has been revealed in 2022 and attracted a lot of attention by press and citizens. Specifically, we propose a methodology for collecting data and analyzing patterns of online public discussions on Twitter. We apply our methodology to the Greek wiretappings us... |
2312.03806 | Xuanchi Ren | Xuanchi Ren, Jiahui Huang, Xiaohui Zeng, Ken Museth, Sanja Fidler,
Francis Williams | XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies | CVPR 2024 Highlight. Code: https://github.com/nv-tlabs/XCube/
Website: https://research.nvidia.com/labs/toronto-ai/xcube/ | null | null | null | cs.CV cs.GR cs.LG | http://creativecommons.org/licenses/by/4.0/ | We present XCube (abbreviated as $\mathcal{X}^3$), a novel generative model
for high-resolution sparse 3D voxel grids with arbitrary attributes. Our model
can generate millions of voxels with a finest effective resolution of up to
$1024^3$ in a feed-forward fashion without time-consuming test-time
optimization. To ac... | [
{
"created": "Wed, 6 Dec 2023 16:23:26 GMT",
"version": "v1"
},
{
"created": "Tue, 25 Jun 2024 17:01:54 GMT",
"version": "v2"
}
] | 2024-06-26 | [
[
"Ren",
"Xuanchi",
""
],
[
"Huang",
"Jiahui",
""
],
[
"Zeng",
"Xiaohui",
""
],
[
"Museth",
"Ken",
""
],
[
"Fidler",
"Sanja",
""
],
[
"Williams",
"Francis",
""
]
] | We present XCube (abbreviated as $\mathcal{X}^3$), a novel generative model for high-resolution sparse 3D voxel grids with arbitrary attributes. Our model can generate millions of voxels with a finest effective resolution of up to $1024^3$ in a feed-forward fashion without time-consuming test-time optimization. To achi... |
2207.09564 | Thomas G Kelly | Thomas G. Kelly, Mohammad Divband Soorati, Klaus-Peter Zauner,
Sarvapali D. Ramchurn, Danesh Tarapore | Collective Decision Making in Communication-Constrained Environments | 6 pages, 7 figures, accepted to the 2022 IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS 2022) | null | null | null | cs.RO cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One of the main tasks for autonomous robot swarms is to collectively decide
on the best available option. Achieving that requires a high quality
communication between the agents that may not be always available in a real
world environment. In this paper we introduce the communication-constrained
collective decision-m... | [
{
"created": "Tue, 19 Jul 2022 21:48:15 GMT",
"version": "v1"
}
] | 2022-07-21 | [
[
"Kelly",
"Thomas G.",
""
],
[
"Soorati",
"Mohammad Divband",
""
],
[
"Zauner",
"Klaus-Peter",
""
],
[
"Ramchurn",
"Sarvapali D.",
""
],
[
"Tarapore",
"Danesh",
""
]
] | One of the main tasks for autonomous robot swarms is to collectively decide on the best available option. Achieving that requires a high quality communication between the agents that may not be always available in a real world environment. In this paper we introduce the communication-constrained collective decision-mak... |
1705.04839 | Firoj Alam | Firoj Alam, Morena Danieli and Giuseppe Riccardi | Annotating and Modeling Empathy in Spoken Conversations | Journal of Computer Speech and Language | null | 10.1016/j.csl.2017.12.003 | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Empathy, as defined in behavioral sciences, expresses the ability of human
beings to recognize, understand and react to emotions, attitudes and beliefs of
others. The lack of an operational definition of empathy makes it difficult to
measure it. In this paper, we address two related problems in automatic
affective be... | [
{
"created": "Sat, 13 May 2017 14:49:08 GMT",
"version": "v1"
},
{
"created": "Thu, 21 Dec 2017 20:13:29 GMT",
"version": "v2"
},
{
"created": "Fri, 29 Dec 2017 12:52:49 GMT",
"version": "v3"
}
] | 2018-01-01 | [
[
"Alam",
"Firoj",
""
],
[
"Danieli",
"Morena",
""
],
[
"Riccardi",
"Giuseppe",
""
]
] | Empathy, as defined in behavioral sciences, expresses the ability of human beings to recognize, understand and react to emotions, attitudes and beliefs of others. The lack of an operational definition of empathy makes it difficult to measure it. In this paper, we address two related problems in automatic affective beha... |
1707.06307 | Vincent Knight Dr | Marc Harper and Vincent Knight and Martin Jones and Georgios
Koutsovoulos and Nikoleta E. Glynatsi and Owen Campbell | Reinforcement Learning Produces Dominant Strategies for the Iterated
Prisoner's Dilemma | null | null | 10.1371/journal.pone.0188046 | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present tournament results and several powerful strategies for the
Iterated Prisoner's Dilemma created using reinforcement learning techniques
(evolutionary and particle swarm algorithms). These strategies are trained to
perform well against a corpus of over 170 distinct opponents, including many
well-known and cl... | [
{
"created": "Wed, 19 Jul 2017 21:47:19 GMT",
"version": "v1"
}
] | 2018-02-07 | [
[
"Harper",
"Marc",
""
],
[
"Knight",
"Vincent",
""
],
[
"Jones",
"Martin",
""
],
[
"Koutsovoulos",
"Georgios",
""
],
[
"Glynatsi",
"Nikoleta E.",
""
],
[
"Campbell",
"Owen",
""
]
] | We present tournament results and several powerful strategies for the Iterated Prisoner's Dilemma created using reinforcement learning techniques (evolutionary and particle swarm algorithms). These strategies are trained to perform well against a corpus of over 170 distinct opponents, including many well-known and clas... |
2312.01151 | Zilong Liu | Zilong Liu, Krzysztof Janowicz, Kitty Currier, Meilin Shi, Jinmeng
Rao, Song Gao, Ling Cai, and Anita Graser | Here Is Not There: Measuring Entailment-Based Trajectory Similarity for
Location-Privacy Protection and Beyond | null | null | 10.5281/zenodo.8286277 | null | cs.CY cs.CL cs.SC | http://creativecommons.org/licenses/by/4.0/ | While the paths humans take play out in social as well as physical space,
measures to describe and compare their trajectories are carried out in
abstract, typically Euclidean, space. When these measures are applied to
trajectories of actual individuals in an application area, alterations that are
inconsequential in a... | [
{
"created": "Sat, 2 Dec 2023 14:41:01 GMT",
"version": "v1"
}
] | 2023-12-05 | [
[
"Liu",
"Zilong",
""
],
[
"Janowicz",
"Krzysztof",
""
],
[
"Currier",
"Kitty",
""
],
[
"Shi",
"Meilin",
""
],
[
"Rao",
"Jinmeng",
""
],
[
"Gao",
"Song",
""
],
[
"Cai",
"Ling",
""
],
[
"Graser",
"... | While the paths humans take play out in social as well as physical space, measures to describe and compare their trajectories are carried out in abstract, typically Euclidean, space. When these measures are applied to trajectories of actual individuals in an application area, alterations that are inconsequential in abs... |
2309.13907 | Dake Guo | Dake Guo, Xinfa Zhu, Liumeng Xue, Tao Li, Yuanjun Lv, Yuepeng Jiang,
Lei Xie | HiGNN-TTS: Hierarchical Prosody Modeling with Graph Neural Networks for
Expressive Long-form TTS | Accepted by ASRU2023 | null | null | null | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in text-to-speech, particularly those based on Graph Neural
Networks (GNNs), have significantly improved the expressiveness of short-form
synthetic speech. However, generating human-parity long-form speech with high
dynamic prosodic variations is still challenging. To address this problem, we
expand t... | [
{
"created": "Mon, 25 Sep 2023 07:07:02 GMT",
"version": "v1"
},
{
"created": "Sat, 7 Oct 2023 01:56:04 GMT",
"version": "v2"
}
] | 2023-10-10 | [
[
"Guo",
"Dake",
""
],
[
"Zhu",
"Xinfa",
""
],
[
"Xue",
"Liumeng",
""
],
[
"Li",
"Tao",
""
],
[
"Lv",
"Yuanjun",
""
],
[
"Jiang",
"Yuepeng",
""
],
[
"Xie",
"Lei",
""
]
] | Recent advances in text-to-speech, particularly those based on Graph Neural Networks (GNNs), have significantly improved the expressiveness of short-form synthetic speech. However, generating human-parity long-form speech with high dynamic prosodic variations is still challenging. To address this problem, we expand the... |
2312.04183 | Amin Radbord | Amin Radbord, Italo Atzeni, Antti Tolli | Enhanced data Detection for Massive MIMO with 1-Bit ADCs | Presented at the IEEE Asilomar Conference on Signals, Systems, and
Computers 2023. arXiv admin note: text overlap with arXiv:2303.18061 | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by/4.0/ | We present new insightful results on the uplink data detection for massive
multiple-input multiple-output systems with 1-bit analog-to-digital converters.
The expected values of the soft-estimated symbols (i.e., after the linear
combining and prior to the data detection) have been recently characterized for
multiple ... | [
{
"created": "Thu, 7 Dec 2023 10:11:20 GMT",
"version": "v1"
}
] | 2023-12-08 | [
[
"Radbord",
"Amin",
""
],
[
"Atzeni",
"Italo",
""
],
[
"Tolli",
"Antti",
""
]
] | We present new insightful results on the uplink data detection for massive multiple-input multiple-output systems with 1-bit analog-to-digital converters. The expected values of the soft-estimated symbols (i.e., after the linear combining and prior to the data detection) have been recently characterized for multiple us... |
1904.04195 | Hao Tan | Hao Tan, Licheng Yu, Mohit Bansal | Learning to Navigate Unseen Environments: Back Translation with
Environmental Dropout | NAACL 2019 (12 pages) | null | null | null | cs.CL cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A grand goal in AI is to build a robot that can accurately navigate based on
natural language instructions, which requires the agent to perceive the scene,
understand and ground language, and act in the real-world environment. One key
challenge here is to learn to navigate in new environments that are unseen
during t... | [
{
"created": "Mon, 8 Apr 2019 17:14:52 GMT",
"version": "v1"
}
] | 2019-04-09 | [
[
"Tan",
"Hao",
""
],
[
"Yu",
"Licheng",
""
],
[
"Bansal",
"Mohit",
""
]
] | A grand goal in AI is to build a robot that can accurately navigate based on natural language instructions, which requires the agent to perceive the scene, understand and ground language, and act in the real-world environment. One key challenge here is to learn to navigate in new environments that are unseen during tra... |
2207.00622 | Zurab Khasidashvili | Zurab Khasidashvili | Accelerating System-Level Debug Using Rule Learning and Subgroup
Discovery Techniques | 33 pages, 6 figures | null | null | null | cs.SE cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a root-causing procedure for accelerating system-level debug using
rule-based techniques. We describe the procedure and how it provides high
quality debug hints for reducing the debug effort. This includes the heuristics
for engineering features from logs of many tests, and the data analytics
techniques fo... | [
{
"created": "Sat, 2 Jul 2022 22:00:30 GMT",
"version": "v1"
},
{
"created": "Sat, 1 Jun 2024 21:57:06 GMT",
"version": "v2"
}
] | 2024-06-04 | [
[
"Khasidashvili",
"Zurab",
""
]
] | We propose a root-causing procedure for accelerating system-level debug using rule-based techniques. We describe the procedure and how it provides high quality debug hints for reducing the debug effort. This includes the heuristics for engineering features from logs of many tests, and the data analytics techniques for ... |
1911.01509 | Karthikeyan Natesan Ramamurthy | Moninder Singh and Karthikeyan Natesan Ramamurthy | Understanding racial bias in health using the Medical Expenditure Panel
Survey data | 8 pages, 8 tables | null | null | null | cs.LG cs.CY stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Over the years, several studies have demonstrated that there exist
significant disparities in health indicators in the United States population
across various groups. Healthcare expense is used as a proxy for health in
algorithms that drive healthcare systems and this exacerbates the existing
bias. In this work, we f... | [
{
"created": "Mon, 4 Nov 2019 22:14:52 GMT",
"version": "v1"
}
] | 2019-11-06 | [
[
"Singh",
"Moninder",
""
],
[
"Ramamurthy",
"Karthikeyan Natesan",
""
]
] | Over the years, several studies have demonstrated that there exist significant disparities in health indicators in the United States population across various groups. Healthcare expense is used as a proxy for health in algorithms that drive healthcare systems and this exacerbates the existing bias. In this work, we foc... |
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