id stringlengths 9 10 | submitter stringlengths 1 64 ⌀ | authors stringlengths 4 7.24k | title stringlengths 1 278 | comments stringlengths 1 762 ⌀ | journal-ref stringlengths 1 557 ⌀ | doi stringlengths 11 153 ⌀ | report-no stringlengths 2 254 ⌀ | categories stringlengths 5 98 | license stringclasses 9
values | abstract stringlengths 6 3.8k | versions list | update_date timestamp[s] | authors_parsed sequence | predictions stringclasses 2
values | probabilities float64 0.5 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1004.3702 | Lizhi Du | Lizhi Du | A Polynomial time Algorithm for Hamilton Cycle with maximum Degree 3,
3SAT | 16 pages. This time, I add a detailed polynomial time algorithm and
proof for 3SAT | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Based on the famous Rotation-Extension technique, by creating the new
concepts and methods: broad cycle, main segment, useful cut and insert,
destroying edges for a main segment, main goal Hamilton cycle, depth-first
search tree, we develop a polynomial time algorithm for a famous NPC: the
Hamilton cycle problem. Thu... | [
{
"version": "v1",
"created": "Mon, 12 Apr 2010 04:39:27 GMT"
},
{
"version": "v10",
"created": "Mon, 5 Nov 2012 01:44:46 GMT"
},
{
"version": "v11",
"created": "Thu, 31 Jan 2013 11:15:53 GMT"
},
{
"version": "v12",
"created": "Mon, 4 Nov 2013 14:09:42 GMT"
},
{
"... | 2023-10-06T00:00:00 | [
[
"Du",
"Lizhi",
""
]
] | not_new_dataset | 0.997305 |
1912.05957 | Hamid Mohammadi | Hamid Mohammadi, Seyed Hossein Khasteh | Text as Environment: A Deep Reinforcement Learning Text Readability
Assessment Model | null | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Evaluating the readability of a text can significantly facilitate the precise
expression of information in written form. The formulation of text readability
assessment involves the identification of meaningful properties of the text
regardless of its length. Sophisticated features and models are used to
evaluate the ... | [
{
"version": "v1",
"created": "Thu, 12 Dec 2019 13:54:09 GMT"
},
{
"version": "v2",
"created": "Sun, 15 Dec 2019 15:46:55 GMT"
},
{
"version": "v3",
"created": "Wed, 4 Oct 2023 19:09:25 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Mohammadi",
"Hamid",
""
],
[
"Khasteh",
"Seyed Hossein",
""
]
] | not_new_dataset | 0.997235 |
2004.05672 | Julliano Rosa Nascimento | Flavia Bonomo-Braberman, Julliano R. Nascimento, Fabiano S. Oliveira,
U\'everton S. Souza, and Jayme L. Szwarcfiter | Linear-time Algorithms for Eliminating Claws in Graphs | 20 pages | International Transactions in Operational Research 31 (2024),
296--315 | 10.1111/itor.13100 | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Since many NP-complete graph problems have been shown polynomial-time
solvable when restricted to claw-free graphs, we study the problem of
determining the distance of a given graph to a claw-free graph, considering
vertex elimination as measure. CLAW-FREE VERTEX DELETION (CFVD) consists of
determining the minimum nu... | [
{
"version": "v1",
"created": "Sun, 12 Apr 2020 18:49:41 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Bonomo-Braberman",
"Flavia",
""
],
[
"Nascimento",
"Julliano R.",
""
],
[
"Oliveira",
"Fabiano S.",
""
],
[
"Souza",
"Uéverton S.",
""
],
[
"Szwarcfiter",
"Jayme L.",
""
]
] | not_new_dataset | 0.997512 |
2010.11559 | Yangjing Zhang | Yangjing Zhang, Kim-Chuan Toh, Defeng Sun | Learning Graph Laplacian with MCP | 32 pages | null | null | null | cs.LG math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of learning a graph under the Laplacian constraint
with a non-convex penalty: minimax concave penalty (MCP). For solving the MCP
penalized graphical model, we design an inexact proximal difference-of-convex
algorithm (DCA) and prove its convergence to critical points. We note that each
subprob... | [
{
"version": "v1",
"created": "Thu, 22 Oct 2020 09:33:49 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 08:56:20 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Zhang",
"Yangjing",
""
],
[
"Toh",
"Kim-Chuan",
""
],
[
"Sun",
"Defeng",
""
]
] | not_new_dataset | 0.997341 |
2011.15122 | Willem van Jaarsveld | Tarkan Temiz\"oz, Christina Imdahl, Remco Dijkman, Douniel
Lamghari-Idrissi, Willem van Jaarsveld | Deep Controlled Learning for Inventory Control | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Problem Definition: Are traditional deep reinforcement learning (DRL)
algorithms, developed for a broad range of purposes including game-play and
robotics, the most suitable machine learning algorithms for applications in
inventory control? To what extent would DRL algorithms tailored to the unique
characteristics of... | [
{
"version": "v1",
"created": "Mon, 30 Nov 2020 18:53:08 GMT"
},
{
"version": "v2",
"created": "Thu, 9 Sep 2021 10:08:31 GMT"
},
{
"version": "v3",
"created": "Tue, 9 Nov 2021 14:59:21 GMT"
},
{
"version": "v4",
"created": "Fri, 12 Nov 2021 11:47:09 GMT"
},
{
"ver... | 2023-10-06T00:00:00 | [
[
"Temizöz",
"Tarkan",
""
],
[
"Imdahl",
"Christina",
""
],
[
"Dijkman",
"Remco",
""
],
[
"Lamghari-Idrissi",
"Douniel",
""
],
[
"van Jaarsveld",
"Willem",
""
]
] | not_new_dataset | 0.997478 |
2102.00696 | Selim Furkan Tekin | Selim Furkan Tekin, Arda Fazla and Suleyman Serdar Kozat | Numerical Weather Forecasting using Convolutional-LSTM with Attention
and Context Matcher Mechanisms | - In our journal submission, we removed the integration of the
observational data section since it was not used in the experiments. Thus, we
also removed the authors from the paper who were responsible for that
section. - In the second version, we also performed an experiment on
WeatherBench. We compare our res... | null | null | null | cs.LG cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Numerical weather forecasting using high-resolution physical models often
requires extensive computational resources on supercomputers, which diminishes
their wide usage in most real-life applications. As a remedy, applying deep
learning methods has revealed innovative solutions within this field. To this
end, we int... | [
{
"version": "v1",
"created": "Mon, 1 Feb 2021 08:30:42 GMT"
},
{
"version": "v2",
"created": "Wed, 4 Oct 2023 18:56:52 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Tekin",
"Selim Furkan",
""
],
[
"Fazla",
"Arda",
""
],
[
"Kozat",
"Suleyman Serdar",
""
]
] | not_new_dataset | 0.997217 |
2103.04904 | Laszlo Csirmaz | Laszlo Csirmaz, Franti\v{s}ek Mat\'u\v{s} and Carles Padr\'o | Bipartite secret sharing and staircases | To appear in Discrete Mathematics | null | null | null | cs.CR cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bipartite secret sharing schemes have a bipartite access structure in which
the set of participants is divided into two parts and all participants in the
same part play an equivalent role. Such a bipartite scheme can be described by
a \emph{staircase}: the collection of its minimal points. The complexity of a
scheme ... | [
{
"version": "v1",
"created": "Mon, 8 Mar 2021 17:09:43 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 14:19:21 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Csirmaz",
"Laszlo",
""
],
[
"Matúš",
"František",
""
],
[
"Padró",
"Carles",
""
]
] | not_new_dataset | 0.997313 |
2104.03937 | Flavia Bonomo | Flavia Bonomo-Braberman and Gast\'on Abel Brito | Intersection models and forbidden pattern characterizations for 2-thin
and proper 2-thin graphs | An extended abstract of this work, entitled "Intersection models for
2-thin and proper 2-thin graphs", was presented at LAGOS 2021 and appears in
Procedia Computer Science 195 (2021), 221-229 (Proc. LAGOS'21, Sao Paulo,
Brazil) | Discrete Applied Mathematics 339 (2023), 53-77 | 10.1016/j.dam.2023.06.013 | null | cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The \emph{thinness} of a graph is a width parameter that generalizes some
properties of interval graphs, which are exactly the graphs of thinness one.
Graphs with thinness at most two include, for example, bipartite convex graphs.
Many NP-complete problems can be solved in polynomial time for graphs with
bounded thin... | [
{
"version": "v1",
"created": "Thu, 8 Apr 2021 17:31:41 GMT"
},
{
"version": "v2",
"created": "Sat, 1 Apr 2023 19:20:18 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Bonomo-Braberman",
"Flavia",
""
],
[
"Brito",
"Gastón Abel",
""
]
] | not_new_dataset | 0.99737 |
2104.07454 | Rohitash Chandra | Animesh Renanse, Alok Sharma, Rohitash Chandra | Memory Capacity of Recurrent Neural Networks with Matrix Representation | null | null | null | null | cs.LG cs.AI cs.CC | http://creativecommons.org/licenses/by/4.0/ | It is well known that canonical recurrent neural networks (RNNs) face
limitations in learning long-term dependencies which have been addressed by
memory structures in long short-term memory (LSTM) networks. Neural Turing
machines (NTMs) are novel RNNs that implement the notion of programmable
computers with neural ne... | [
{
"version": "v1",
"created": "Sun, 11 Apr 2021 23:43:28 GMT"
},
{
"version": "v2",
"created": "Sun, 30 Oct 2022 06:43:49 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 03:47:41 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Renanse",
"Animesh",
""
],
[
"Sharma",
"Alok",
""
],
[
"Chandra",
"Rohitash",
""
]
] | not_new_dataset | 0.997475 |
2105.07099 | Seyed Omid Davoudi | Omid Davoodi, Majid Komeili | Feature-Based Interpretable Reinforcement Learning based on
State-Transition Models | null | null | 10.1109/SMC52423.2021.9658917 | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Growing concerns regarding the operational usage of AI models in the
real-world has caused a surge of interest in explaining AI models' decisions to
humans. Reinforcement Learning is not an exception in this regard. In this
work, we propose a method for offering local explanations on risk in
reinforcement learning. O... | [
{
"version": "v1",
"created": "Fri, 14 May 2021 23:43:11 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Davoodi",
"Omid",
""
],
[
"Komeili",
"Majid",
""
]
] | not_new_dataset | 0.997394 |
2107.08086 | Raman Goyal | Raman Goyal, Ran Wang, Mohamed Naveed Gul Mohamed, Aayushman Sharma,
Suman Chakravorty | An Information-state based Approach to the Optimal Output Feedback
Control of Nonlinear Systems | null | null | null | null | cs.RO cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | This paper develops a data-based approach to the closed-loop output feedback
control of nonlinear dynamical systems with a partial nonlinear observation
model. We propose an information state based approach to rigorously transform
the partially observed problem into a fully observed problem where the
information stat... | [
{
"version": "v1",
"created": "Fri, 16 Jul 2021 19:21:43 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 16:28:20 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Goyal",
"Raman",
""
],
[
"Wang",
"Ran",
""
],
[
"Mohamed",
"Mohamed Naveed Gul",
""
],
[
"Sharma",
"Aayushman",
""
],
[
"Chakravorty",
"Suman",
""
]
] | not_new_dataset | 0.99729 |
2108.05641 | Jinpeng Chen | Jinpeng Chen, Haiyang Li, Xudong Zhang, Fan Zhang, Senzhang Wang,
Kaimin Wei and Jiaqi Ji | SR-HetGNN:Session-based Recommendation with Heterogeneous Graph Neural
Network | null | null | null | null | cs.IR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Session-Based Recommendation System aims to predict the user's next click
based on their previous session sequence. The current studies generally learn
user preferences according to the transitions of items in the user's session
sequence. However, other effective information in the session sequence, such as
user ... | [
{
"version": "v1",
"created": "Thu, 12 Aug 2021 10:12:48 GMT"
},
{
"version": "v2",
"created": "Wed, 4 Oct 2023 03:21:08 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 08:28:44 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Chen",
"Jinpeng",
""
],
[
"Li",
"Haiyang",
""
],
[
"Zhang",
"Xudong",
""
],
[
"Zhang",
"Fan",
""
],
[
"Wang",
"Senzhang",
""
],
[
"Wei",
"Kaimin",
""
],
[
"Ji",
"Jiaqi",
""
]
] | not_new_dataset | 0.997301 |
2109.03890 | Vignesh Viswanathan | Gagan Biradar, Vignesh Viswanathan, Yair Zick | Model Explanations via the Axiomatic Causal Lens | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Explaining the decisions of black-box models is a central theme in the study
of trustworthy ML. Numerous measures have been proposed in the literature;
however, none of them take an axiomatic approach to causal explainability. In
this work, we propose three explanation measures which aggregate the set of all
but-for ... | [
{
"version": "v1",
"created": "Wed, 8 Sep 2021 19:33:52 GMT"
},
{
"version": "v2",
"created": "Fri, 17 Sep 2021 14:17:59 GMT"
},
{
"version": "v3",
"created": "Mon, 31 Jan 2022 23:50:48 GMT"
},
{
"version": "v4",
"created": "Mon, 11 Sep 2023 19:33:45 GMT"
},
{
"ve... | 2023-10-06T00:00:00 | [
[
"Biradar",
"Gagan",
""
],
[
"Viswanathan",
"Vignesh",
""
],
[
"Zick",
"Yair",
""
]
] | not_new_dataset | 0.997332 |
2109.04939 | Ryo Yoshida | Ryo Yoshida, Hiroshi Noji, Yohei Oseki | Modeling Human Sentence Processing with Left-Corner Recurrent Neural
Network Grammars | Accepted by EMNLP 2021 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In computational linguistics, it has been shown that hierarchical structures
make language models (LMs) more human-like. However, the previous literature
has been agnostic about a parsing strategy of the hierarchical models. In this
paper, we investigated whether hierarchical structures make LMs more
human-like, and ... | [
{
"version": "v1",
"created": "Fri, 10 Sep 2021 15:35:00 GMT"
},
{
"version": "v2",
"created": "Thu, 11 May 2023 02:41:41 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 10:33:42 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Yoshida",
"Ryo",
""
],
[
"Noji",
"Hiroshi",
""
],
[
"Oseki",
"Yohei",
""
]
] | not_new_dataset | 0.997377 |
2110.03991 | John Stephan | Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Sebastien Rouault, and
John Stephan | Combining Differential Privacy and Byzantine Resilience in Distributed
SGD | null | null | null | null | cs.LG cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Privacy and Byzantine resilience (BR) are two crucial requirements of
modern-day distributed machine learning. The two concepts have been extensively
studied individually but the question of how to combine them effectively
remains unanswered. This paper contributes to addressing this question by
studying the extent t... | [
{
"version": "v1",
"created": "Fri, 8 Oct 2021 09:23:03 GMT"
},
{
"version": "v2",
"created": "Wed, 20 Oct 2021 14:21:46 GMT"
},
{
"version": "v3",
"created": "Tue, 26 Oct 2021 13:37:16 GMT"
},
{
"version": "v4",
"created": "Thu, 5 Oct 2023 09:03:58 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Guerraoui",
"Rachid",
""
],
[
"Gupta",
"Nirupam",
""
],
[
"Pinot",
"Rafael",
""
],
[
"Rouault",
"Sebastien",
""
],
[
"Stephan",
"John",
""
]
] | not_new_dataset | 0.997476 |
2110.14883 | Yang You | Shenggui Li and Hongxin Liu and Zhengda Bian and Jiarui Fang and
Haichen Huang and Yuliang Liu and Boxiang Wang and Yang You | Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel
Training | null | null | null | null | cs.LG cs.AI cs.CL cs.CV cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The success of Transformer models has pushed the deep learning model scale to
billions of parameters. Due to the limited memory resource of a single GPU,
However, the best practice for choosing the optimal parallel strategy is still
lacking, since it requires domain expertise in both deep learning and parallel
comput... | [
{
"version": "v1",
"created": "Thu, 28 Oct 2021 04:45:55 GMT"
},
{
"version": "v2",
"created": "Tue, 20 Sep 2022 12:54:20 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 04:09:09 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Li",
"Shenggui",
""
],
[
"Liu",
"Hongxin",
""
],
[
"Bian",
"Zhengda",
""
],
[
"Fang",
"Jiarui",
""
],
[
"Huang",
"Haichen",
""
],
[
"Liu",
"Yuliang",
""
],
[
"Wang",
"Boxiang",
""
],
[
"You",
"... | not_new_dataset | 0.997264 |
2110.15497 | Peiyu Yu | Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun
Zhu | Unsupervised Foreground Extraction via Deep Region Competition | NeurIPS 2021 | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | We present Deep Region Competition (DRC), an algorithm designed to extract
foreground objects from images in a fully unsupervised manner. Foreground
extraction can be viewed as a special case of generic image segmentation that
focuses on identifying and disentangling objects from the background. In this
work, we reth... | [
{
"version": "v1",
"created": "Fri, 29 Oct 2021 02:32:44 GMT"
},
{
"version": "v2",
"created": "Tue, 9 Nov 2021 01:40:02 GMT"
},
{
"version": "v3",
"created": "Sat, 25 Dec 2021 14:18:17 GMT"
},
{
"version": "v4",
"created": "Wed, 4 Oct 2023 22:05:42 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Yu",
"Peiyu",
""
],
[
"Xie",
"Sirui",
""
],
[
"Ma",
"Xiaojian",
""
],
[
"Zhu",
"Yixin",
""
],
[
"Wu",
"Ying Nian",
""
],
[
"Zhu",
"Song-Chun",
""
]
] | not_new_dataset | 0.997399 |
2111.02062 | Pio Calderon | Pio Calderon, Alexander Soen, Marian-Andrei Rizoiu | Linking Across Data Granularity: Fitting Multivariate Hawkes Processes
to Partially Interval-Censored Data | This work has been submitted to the IEEE for possible publication.
Copyright may be transferred without notice, after which this version may no
longer be accessible | null | null | null | cs.LG cs.CE | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The multivariate Hawkes process (MHP) is widely used for analyzing data
streams that interact with each other, where events generate new events within
their own dimension (via self-excitation) or across different dimensions (via
cross-excitation). However, in certain applications, the timestamps of
individual events ... | [
{
"version": "v1",
"created": "Wed, 3 Nov 2021 08:25:35 GMT"
},
{
"version": "v2",
"created": "Mon, 7 Feb 2022 04:01:58 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 04:55:06 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Calderon",
"Pio",
""
],
[
"Soen",
"Alexander",
""
],
[
"Rizoiu",
"Marian-Andrei",
""
]
] | not_new_dataset | 0.997466 |
2111.12232 | Katsuya Hotta | Katsuya Hotta, Takuya Akashi, Shogo Tokai, Chao Zhang | PMSSC: Parallelizable multi-subset based self-expressive model for
subspace clustering | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Subspace clustering methods which embrace a self-expressive model that
represents each data point as a linear combination of other data points in the
dataset provide powerful unsupervised learning techniques. However, when
dealing with large datasets, representation of each data point by referring to
all data points ... | [
{
"version": "v1",
"created": "Wed, 24 Nov 2021 02:22:43 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 16:30:48 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Hotta",
"Katsuya",
""
],
[
"Akashi",
"Takuya",
""
],
[
"Tokai",
"Shogo",
""
],
[
"Zhang",
"Chao",
""
]
] | not_new_dataset | 0.997267 |
2112.03379 | Seungwoo Jeong | Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk | Efficient Continuous Manifold Learning for Time Series Modeling | null | null | 10.1109/TPAMI.2023.3320125 | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modeling non-Euclidean data is drawing attention along with the unprecedented
successes of deep neural networks in diverse fields. In particular, symmetric
positive definite (SPD) matrix is being actively studied in computer vision,
signal processing, and medical image analysis, thanks to its ability to learn
appropr... | [
{
"version": "v1",
"created": "Fri, 3 Dec 2021 01:38:38 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Jeong",
"Seungwoo",
""
],
[
"Ko",
"Wonjun",
""
],
[
"Mulyadi",
"Ahmad Wisnu",
""
],
[
"Suk",
"Heung-Il",
""
]
] | not_new_dataset | 0.997369 |
2112.08581 | Weijie Zheng | Weijie Zheng, Benjamin Doerr | Mathematical Runtime Analysis for the Non-Dominated Sorting Genetic
Algorithm II (NSGA-II) | Accepted for publication in "Artificial Intelligence". This is the
journal version of the paper "Weijie Zheng, Yufei Liu, Benjamin Doerr: A
First Mathematical Runtime Analysis of the Non-Dominated Sorting Genetic
Algorithm II (NSGA-II). AAAI 2022. arXiv:2112.08581v3" | Artificial Intelligence 325 (2023), 104016 | 10.1016/j.artint.2023.104016 | null | cs.NE cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The non-dominated sorting genetic algorithm II (NSGA-II) is the most
intensively used multi-objective evolutionary algorithm (MOEA) in real-world
applications. However, in contrast to several simple MOEAs analyzed also via
mathematical means, no such study exists for the NSGA-II so far. In this work,
we show that mat... | [
{
"version": "v1",
"created": "Thu, 16 Dec 2021 03:00:20 GMT"
},
{
"version": "v2",
"created": "Fri, 11 Feb 2022 15:16:57 GMT"
},
{
"version": "v3",
"created": "Mon, 20 Jun 2022 10:31:08 GMT"
},
{
"version": "v4",
"created": "Fri, 24 Jun 2022 11:24:43 GMT"
},
{
"v... | 2023-10-06T00:00:00 | [
[
"Zheng",
"Weijie",
""
],
[
"Doerr",
"Benjamin",
""
]
] | not_new_dataset | 0.997388 |
2202.09573 | Gabriel Turinici | Gabriel Turinici | Diversity in deep generative models and generative AI | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The decoder-based machine learning generative algorithms such as Generative
Adversarial Networks (GAN), Variational Auto-Encoders (VAE), Transformers show
impressive results when constructing objects similar to those in a training
ensemble. However, the generation of new objects builds mainly on the
understanding of ... | [
{
"version": "v1",
"created": "Sat, 19 Feb 2022 10:52:52 GMT"
},
{
"version": "v2",
"created": "Fri, 15 Sep 2023 16:55:40 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 13:32:57 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Turinici",
"Gabriel",
""
]
] | not_new_dataset | 0.997369 |
2202.13103 | Prerona Chatterjee | Prerona Chatterjee, Kshitij Gajjar, Anamay Tengse | Monotone Classes Beyond VNP | 30 pages; made changes suggested by reviewers | null | null | null | cs.CC | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In this work, we study the natural monotone analogues of various equivalent
definitions of VPSPACE: a well studied class (Poizat 2008, Koiran and Perifel
2009, Malod 2011, Mahajan and Rao 2013) that is believed to be larger than VNP.
We observe that these monotone analogues are not equivalent unlike their
non-monoton... | [
{
"version": "v1",
"created": "Sat, 26 Feb 2022 10:18:15 GMT"
},
{
"version": "v2",
"created": "Mon, 26 Sep 2022 15:17:49 GMT"
},
{
"version": "v3",
"created": "Sun, 23 Jul 2023 12:48:01 GMT"
},
{
"version": "v4",
"created": "Thu, 5 Oct 2023 14:21:06 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Chatterjee",
"Prerona",
""
],
[
"Gajjar",
"Kshitij",
""
],
[
"Tengse",
"Anamay",
""
]
] | not_new_dataset | 0.99735 |
2205.05250 | Hao Ren | Hao Ren, Xiaojun Liang, Chunhua Yang, Zhiwen Chen, and Weihua Gui | Spatial-temporal associations representation and application for process
monitoring using graph convolution neural network | null | null | null | null | cs.LG cs.AI cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Thank you very much for the attention and concern of colleagues and scholars
in this work. With the comments and guidance of experts, editors, and
reviewers, this work has been accepted for publishing in the journal "Process
Safety and Environmental Protection". The theme of this paper relies on the
Spatial-temporal ... | [
{
"version": "v1",
"created": "Wed, 11 May 2022 03:36:35 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 14:32:15 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Ren",
"Hao",
""
],
[
"Liang",
"Xiaojun",
""
],
[
"Yang",
"Chunhua",
""
],
[
"Chen",
"Zhiwen",
""
],
[
"Gui",
"Weihua",
""
]
] | not_new_dataset | 0.997368 |
2205.09174 | Ehud Shapiro | Idit Keidar, Oded Naor, Ouri Poupko, and Ehud Shapiro | Cordial Miners: Fast and Efficient Consensus for Every Eventuality | null | null | 10.4230/LIPIcs.DISC.2023.26 | null | cs.DC cs.MA cs.NI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Cordial Miners are a family of efficient Byzantine Atomic Broadcast
protocols, with instances for asynchrony and eventual synchrony.
They improve the latency of state-of-the-art DAG-based protocols by almost 2X
and achieve optimal good-case complexity of O(n) by forgoing Reliable Broadcast
as a building block.
Ra... | [
{
"version": "v1",
"created": "Wed, 18 May 2022 18:45:20 GMT"
},
{
"version": "v2",
"created": "Mon, 1 Aug 2022 02:28:16 GMT"
},
{
"version": "v3",
"created": "Thu, 11 Aug 2022 19:19:31 GMT"
},
{
"version": "v4",
"created": "Wed, 9 Nov 2022 19:34:18 GMT"
},
{
"ver... | 2023-10-06T00:00:00 | [
[
"Keidar",
"Idit",
""
],
[
"Naor",
"Oded",
""
],
[
"Poupko",
"Ouri",
""
],
[
"Shapiro",
"Ehud",
""
]
] | not_new_dataset | 0.996969 |
2206.05895 | Peiyu Yu | Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao,
Yixin Zhu, Song-Chun Zhu, and Ying Nian Wu | Latent Diffusion Energy-Based Model for Interpretable Text Modeling | ICML 2022 | null | null | null | cs.LG cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Latent space Energy-Based Models (EBMs), also known as energy-based priors,
have drawn growing interests in generative modeling. Fueled by its flexibility
in the formulation and strong modeling power of the latent space, recent works
built upon it have made interesting attempts aiming at the interpretability of
text ... | [
{
"version": "v1",
"created": "Mon, 13 Jun 2022 03:41:31 GMT"
},
{
"version": "v2",
"created": "Tue, 14 Jun 2022 03:01:05 GMT"
},
{
"version": "v3",
"created": "Mon, 4 Jul 2022 16:28:58 GMT"
},
{
"version": "v4",
"created": "Wed, 4 Oct 2023 22:00:21 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Yu",
"Peiyu",
""
],
[
"Xie",
"Sirui",
""
],
[
"Ma",
"Xiaojian",
""
],
[
"Jia",
"Baoxiong",
""
],
[
"Pang",
"Bo",
""
],
[
"Gao",
"Ruiqi",
""
],
[
"Zhu",
"Yixin",
""
],
[
"Zhu",
"Song-Chun",
... | not_new_dataset | 0.997415 |
2207.03299 | Juan Bascur | Juan Pablo Bascur, Suzan Verberne, Nees Jan van Eck, Ludo Waltman | Academic information retrieval using citation clusters: In-depth
evaluation based on systematic reviews | Final version | null | null | null | cs.DL | http://creativecommons.org/licenses/by/4.0/ | The field of scientometrics has shown the power of citation-based clusters
for literature analysis, yet this technique has barely been used for
information retrieval tasks. This work evaluates the performance of citation
based-clusters for information retrieval tasks. We simulated a search process
using these cluster... | [
{
"version": "v1",
"created": "Thu, 7 Jul 2022 13:50:27 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 15:42:11 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Bascur",
"Juan Pablo",
""
],
[
"Verberne",
"Suzan",
""
],
[
"van Eck",
"Nees Jan",
""
],
[
"Waltman",
"Ludo",
""
]
] | not_new_dataset | 0.997488 |
2207.05132 | Arghavan Moradi Dakhel | Arghavan Moradi Dakhel, Michel C. Desmarais, Foutse Khomh | Dev2vec: Representing Domain Expertise of Developers in an Embedding
Space | 30 pages, 5 figures | null | 10.1016/j.infsof.2023.107218 | null | cs.SE cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accurate assessment of the domain expertise of developers is important for
assigning the proper candidate to contribute to a project or to attend a job
role. Since the potential candidate can come from a large pool, the automated
assessment of this domain expertise is a desirable goal. While previous methods
have had... | [
{
"version": "v1",
"created": "Mon, 11 Jul 2022 18:56:49 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Dakhel",
"Arghavan Moradi",
""
],
[
"Desmarais",
"Michel C.",
""
],
[
"Khomh",
"Foutse",
""
]
] | not_new_dataset | 0.996237 |
2207.11447 | Xu Zhou | Xu Zhou, Xinyu Lei, Cong Yang, Yichun Shi, Xiao Zhang, Jingwen Shi | Handling Data Heterogeneity in Federated Learning via Knowledge
Distillation and Fusion | 15 pages, 3 figures | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated learning (FL) supports distributed training of a global machine
learning model across multiple devices with the help of a central server.
However, data heterogeneity across different devices leads to the client model
drift issue and results in model performance degradation and poor model
fairness. To addres... | [
{
"version": "v1",
"created": "Sat, 23 Jul 2022 07:20:22 GMT"
},
{
"version": "v2",
"created": "Wed, 4 Oct 2023 20:44:04 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Zhou",
"Xu",
""
],
[
"Lei",
"Xinyu",
""
],
[
"Yang",
"Cong",
""
],
[
"Shi",
"Yichun",
""
],
[
"Zhang",
"Xiao",
""
],
[
"Shi",
"Jingwen",
""
]
] | not_new_dataset | 0.997376 |
2207.11880 | Huaxiong Li | Kaiyi Luo, Chao Zhang, Huaxiong Li, Xiuyi Jia, Chunlin Chen | Adaptive Marginalized Semantic Hashing for Unpaired Cross-Modal
Retrieval | null | null | 10.1109/TMM.2023.3245400 | null | cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, Cross-Modal Hashing (CMH) has aroused much attention due to
its fast query speed and efficient storage. Previous literatures have achieved
promising results for Cross-Modal Retrieval (CMR) by discovering discriminative
hash codes and modality-specific hash functions. Nonetheless, most existing CMR
wo... | [
{
"version": "v1",
"created": "Mon, 25 Jul 2022 02:50:20 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Luo",
"Kaiyi",
""
],
[
"Zhang",
"Chao",
""
],
[
"Li",
"Huaxiong",
""
],
[
"Jia",
"Xiuyi",
""
],
[
"Chen",
"Chunlin",
""
]
] | not_new_dataset | 0.997456 |
2207.14096 | Shaun Yuan | Gong Cheng, Xiang Yuan, Xiwen Yao, Kebing Yan, Qinghua Zeng, Xingxing
Xie, and Junwei Han | Towards Large-Scale Small Object Detection: Survey and Benchmarks | in IEEE Transactions on Pattern Analysis and Machine Intelligence
(2023) | IEEE Transactions on Pattern Analysis and Machine Intelligence,
vol. 45, no. 11, pp. 13467-13488, 1 Nov. 2023 | 10.1109/TPAMI.2023.3290594 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the rise of deep convolutional neural networks, object detection has
achieved prominent advances in past years. However, such prosperity could not
camouflage the unsatisfactory situation of Small Object Detection (SOD), one of
the notoriously challenging tasks in computer vision, owing to the poor visual
appeara... | [
{
"version": "v1",
"created": "Thu, 28 Jul 2022 14:02:18 GMT"
},
{
"version": "v2",
"created": "Sun, 31 Jul 2022 08:33:25 GMT"
},
{
"version": "v3",
"created": "Sat, 24 Dec 2022 15:43:44 GMT"
},
{
"version": "v4",
"created": "Tue, 11 Apr 2023 03:58:28 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Cheng",
"Gong",
""
],
[
"Yuan",
"Xiang",
""
],
[
"Yao",
"Xiwen",
""
],
[
"Yan",
"Kebing",
""
],
[
"Zeng",
"Qinghua",
""
],
[
"Xie",
"Xingxing",
""
],
[
"Han",
"Junwei",
""
]
] | new_dataset | 0.997998 |
2208.07708 | Gyanendra Kumar Verma | Gyanendra K. Verma, Astha Agrawal, R. K. Sharma | Construction Methods for Galois LCD codes over Finite Fields | There are many typos and mathematical typos as well | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | In this article, first we present a method for constructing many Hermitian
LCD codes from a given Hermitian LCD code, and then provide several methods
which utilize either a given [n, k, d] linear code or a given [n, k, d] Galois
LCD code to construct new Galois LCD codes with different parameters. Using
these constr... | [
{
"version": "v1",
"created": "Tue, 16 Aug 2022 12:19:42 GMT"
},
{
"version": "v2",
"created": "Fri, 2 Sep 2022 05:40:26 GMT"
},
{
"version": "v3",
"created": "Tue, 3 Oct 2023 04:59:01 GMT"
},
{
"version": "v4",
"created": "Thu, 5 Oct 2023 09:06:17 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Verma",
"Gyanendra K.",
""
],
[
"Agrawal",
"Astha",
""
],
[
"Sharma",
"R. K.",
""
]
] | not_new_dataset | 0.997271 |
2209.05917 | Sunkyung Lee | Eunseong Choi, Sunkyung Lee, Minjin Choi, Hyeseon Ko, Young-In Song
and Jongwuk Lee | SpaDE: Improving Sparse Representations using a Dual Document Encoder
for First-stage Retrieval | In Proceedings of the 31st ACM International Conference on
Information and Knowledge Management (CIKM '22). 13 pages | null | 10.1145/3511808.3557456 | null | cs.IR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Sparse document representations have been widely used to retrieve relevant
documents via exact lexical matching. Owing to the pre-computed inverted index,
it supports fast ad-hoc search but incurs the vocabulary mismatch problem.
Although recent neural ranking models using pre-trained language models can
address this... | [
{
"version": "v1",
"created": "Tue, 13 Sep 2022 12:06:01 GMT"
},
{
"version": "v2",
"created": "Thu, 13 Apr 2023 05:57:34 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 02:33:49 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Choi",
"Eunseong",
""
],
[
"Lee",
"Sunkyung",
""
],
[
"Choi",
"Minjin",
""
],
[
"Ko",
"Hyeseon",
""
],
[
"Song",
"Young-In",
""
],
[
"Lee",
"Jongwuk",
""
]
] | not_new_dataset | 0.997335 |
2209.12148 | Radu Tudor Ionescu | Neelu Madan, Nicolae-Catalin Ristea, Radu Tudor Ionescu, Kamal
Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah | Self-Supervised Masked Convolutional Transformer Block for Anomaly
Detection | Accepted in IEEE Transactions on Pattern Analysis and Machine
Intelligence | null | 10.1109/TPAMI.2023.3322604 | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Anomaly detection has recently gained increasing attention in the field of
computer vision, likely due to its broad set of applications ranging from
product fault detection on industrial production lines and impending event
detection in video surveillance to finding lesions in medical scans. Regardless
of the domain,... | [
{
"version": "v1",
"created": "Sun, 25 Sep 2022 04:56:10 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 10:37:39 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Madan",
"Neelu",
""
],
[
"Ristea",
"Nicolae-Catalin",
""
],
[
"Ionescu",
"Radu Tudor",
""
],
[
"Nasrollahi",
"Kamal",
""
],
[
"Khan",
"Fahad Shahbaz",
""
],
[
"Moeslund",
"Thomas B.",
""
],
[
"Shah",
"Mubarak"... | not_new_dataset | 0.988627 |
2210.01422 | Rasool Fakoor | Rasool Fakoor and Jonas Mueller and Zachary C. Lipton and Pratik
Chaudhari and Alexander J. Smola | Time-Varying Propensity Score to Bridge the Gap between the Past and
Present | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Real-world deployment of machine learning models is challenging because data
evolves over time. While no model can work when data evolves in an arbitrary
fashion, if there is some pattern to these changes, we might be able to design
methods to address it. This paper addresses situations when data evolves
gradually. W... | [
{
"version": "v1",
"created": "Tue, 4 Oct 2022 07:21:49 GMT"
},
{
"version": "v2",
"created": "Mon, 30 Jan 2023 17:52:10 GMT"
},
{
"version": "v3",
"created": "Wed, 14 Jun 2023 17:47:50 GMT"
},
{
"version": "v4",
"created": "Thu, 5 Oct 2023 17:38:13 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Fakoor",
"Rasool",
""
],
[
"Mueller",
"Jonas",
""
],
[
"Lipton",
"Zachary C.",
""
],
[
"Chaudhari",
"Pratik",
""
],
[
"Smola",
"Alexander J.",
""
]
] | not_new_dataset | 0.997504 |
2210.01944 | Sajad Darabi | Sajad Darabi, Piotr Bigaj, Dawid Majchrowski, Artur Kasymov, Pawel
Morkisz, Alex Fit-Florea | A Framework for Large Scale Synthetic Graph Dataset Generation | null | null | null | null | cs.LG cs.SI | http://creativecommons.org/licenses/by/4.0/ | Recently there has been increasing interest in developing and deploying deep
graph learning algorithms for many tasks, such as fraud detection and
recommender systems. Albeit, there is a limited number of publicly available
graph-structured datasets, most of which are tiny compared to production-sized
applications or... | [
{
"version": "v1",
"created": "Tue, 4 Oct 2022 22:41:33 GMT"
},
{
"version": "v2",
"created": "Thu, 6 Oct 2022 15:17:02 GMT"
},
{
"version": "v3",
"created": "Tue, 28 Feb 2023 23:05:44 GMT"
},
{
"version": "v4",
"created": "Thu, 5 Oct 2023 05:22:43 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Darabi",
"Sajad",
""
],
[
"Bigaj",
"Piotr",
""
],
[
"Majchrowski",
"Dawid",
""
],
[
"Kasymov",
"Artur",
""
],
[
"Morkisz",
"Pawel",
""
],
[
"Fit-Florea",
"Alex",
""
]
] | not_new_dataset | 0.997341 |
2210.17505 | Roberto Casadei PhD | Roberto Casadei, Stefano Mariani, Danilo Pianini, Mirko Viroli, Franco
Zambonelli | Space-Fluid Adaptive Sampling by Self-Organisation | 33 pages, 16 figures | null | null | null | cs.DC cs.AI cs.MA cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | A recurrent task in coordinated systems is managing (estimating, predicting,
or controlling) signals that vary in space, such as distributed sensed data or
computation outcomes. Especially in large-scale settings, the problem can be
addressed through decentralised and situated computing systems: nodes can
locally sen... | [
{
"version": "v1",
"created": "Mon, 31 Oct 2022 17:29:41 GMT"
},
{
"version": "v2",
"created": "Thu, 16 Mar 2023 17:31:22 GMT"
},
{
"version": "v3",
"created": "Tue, 1 Aug 2023 07:38:51 GMT"
},
{
"version": "v4",
"created": "Thu, 5 Oct 2023 10:46:56 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Casadei",
"Roberto",
""
],
[
"Mariani",
"Stefano",
""
],
[
"Pianini",
"Danilo",
""
],
[
"Viroli",
"Mirko",
""
],
[
"Zambonelli",
"Franco",
""
]
] | not_new_dataset | 0.997303 |
2211.00635 | Yihan Wang | Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui
Hsieh, Inderjit S Dhillon, Sanjiv Kumar | Two-stage LLM Fine-tuning with Less Specialization and More
Generalization | null | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Pretrained large language models (LLMs) are general purpose problem solvers
applicable to a diverse set of tasks with prompts. They can be further improved
towards a specific task by fine-tuning on a specialized dataset. However,
fine-tuning usually makes the model narrowly specialized on this dataset with
reduced ge... | [
{
"version": "v1",
"created": "Tue, 1 Nov 2022 17:56:57 GMT"
},
{
"version": "v2",
"created": "Wed, 4 Oct 2023 20:27:57 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Wang",
"Yihan",
""
],
[
"Si",
"Si",
""
],
[
"Li",
"Daliang",
""
],
[
"Lukasik",
"Michal",
""
],
[
"Yu",
"Felix",
""
],
[
"Hsieh",
"Cho-Jui",
""
],
[
"Dhillon",
"Inderjit S",
""
],
[
"Kumar",
"S... | not_new_dataset | 0.997431 |
2211.01856 | Shihan Ma | Shihan Ma, Alexander Kenneth Clarke, Kostiantyn Maksymenko, Samuel
Deslauriers-Gauthier, Xinjun Sheng, Xiangyang Zhu, Dario Farina | Conditional Generative Models for Simulation of EMG During Naturalistic
Movements | null | null | null | null | cs.LG cs.CE eess.SP physics.bio-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Numerical models of electromyographic (EMG) signals have provided a huge
contribution to our fundamental understanding of human neurophysiology and
remain a central pillar of motor neuroscience and the development of
human-machine interfaces. However, whilst modern biophysical simulations based
on finite element meth... | [
{
"version": "v1",
"created": "Thu, 3 Nov 2022 14:49:02 GMT"
},
{
"version": "v2",
"created": "Wed, 15 Feb 2023 15:29:54 GMT"
},
{
"version": "v3",
"created": "Thu, 13 Jul 2023 16:07:33 GMT"
},
{
"version": "v4",
"created": "Thu, 5 Oct 2023 17:26:48 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Ma",
"Shihan",
""
],
[
"Clarke",
"Alexander Kenneth",
""
],
[
"Maksymenko",
"Kostiantyn",
""
],
[
"Deslauriers-Gauthier",
"Samuel",
""
],
[
"Sheng",
"Xinjun",
""
],
[
"Zhu",
"Xiangyang",
""
],
[
"Farina",
"Dar... | not_new_dataset | 0.997392 |
2211.03660 | Jiawang Bian | Libo Sun, Jia-Wang Bian, Huangying Zhan, Wei Yin, Ian Reid, Chunhua
Shen | SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for
Dynamic Scenes | Accepted for publication in TPAMI; The code will be available at
https://github.com/JiawangBian/sc_depth_pl | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-supervised monocular depth estimation has shown impressive results in
static scenes. It relies on the multi-view consistency assumption for training
networks, however, that is violated in dynamic object regions and occlusions.
Consequently, existing methods show poor accuracy in dynamic scenes, and the
estimated... | [
{
"version": "v1",
"created": "Mon, 7 Nov 2022 16:17:47 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 08:53:01 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Sun",
"Libo",
""
],
[
"Bian",
"Jia-Wang",
""
],
[
"Zhan",
"Huangying",
""
],
[
"Yin",
"Wei",
""
],
[
"Reid",
"Ian",
""
],
[
"Shen",
"Chunhua",
""
]
] | not_new_dataset | 0.997263 |
2211.07091 | Yefei He | Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou,
Bohan Zhuang | BiViT: Extremely Compressed Binary Vision Transformer | Accepted by ICCV 2023 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Model binarization can significantly compress model size, reduce energy
consumption, and accelerate inference through efficient bit-wise operations.
Although binarizing convolutional neural networks have been extensively
studied, there is little work on exploring binarization of vision Transformers
which underpin mos... | [
{
"version": "v1",
"created": "Mon, 14 Nov 2022 03:36:38 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 07:59:22 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"He",
"Yefei",
""
],
[
"Lou",
"Zhenyu",
""
],
[
"Zhang",
"Luoming",
""
],
[
"Liu",
"Jing",
""
],
[
"Wu",
"Weijia",
""
],
[
"Zhou",
"Hong",
""
],
[
"Zhuang",
"Bohan",
""
]
] | not_new_dataset | 0.997118 |
2211.11961 | Arghya Chakraborty | Arghya Chakraborty, Rahul Vaze | Online facility location with timed-requests and congestion | 32 pages, 6 figures | null | null | null | cs.DS | http://creativecommons.org/licenses/by/4.0/ | The classic online facility location problem deals with finding the optimal
set of facilities in an online fashion when demand requests arrive one at a
time and facilities need to be opened to service these requests. In this work,
we study two variants of the online facility location problem; (1) weighted
requests an... | [
{
"version": "v1",
"created": "Tue, 22 Nov 2022 02:50:51 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 15:49:18 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Chakraborty",
"Arghya",
""
],
[
"Vaze",
"Rahul",
""
]
] | not_new_dataset | 0.997388 |
2211.13118 | Vianney Copp\'e | Vianney Copp\'e, Xavier Gillard, Pierre Schaus | Decision Diagram-Based Branch-and-Bound with Caching for Dominance and
Suboptimality Detection | Submitted to INFORMS Journal on Computing | null | null | null | cs.DS cs.AI cs.DM math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The branch-and-bound algorithm based on decision diagrams introduced by
Bergman et al. in 2016 is a framework for solving discrete optimization
problems with a dynamic programming formulation. It works by compiling a series
of bounded-width decision diagrams that can provide lower and upper bounds for
any given subpr... | [
{
"version": "v1",
"created": "Tue, 22 Nov 2022 10:18:33 GMT"
},
{
"version": "v2",
"created": "Fri, 26 May 2023 15:51:22 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 13:50:18 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Coppé",
"Vianney",
""
],
[
"Gillard",
"Xavier",
""
],
[
"Schaus",
"Pierre",
""
]
] | not_new_dataset | 0.997333 |
2212.00431 | Violetta Weger | Markus Grassl, Anna-Lena Horlemann, Violetta Weger | The Subfield Metric and its Application to Quantum Error Correction | null | null | 10.1142/S021949882550063X | null | cs.IT math.IT quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a new weight and corresponding metric over finite extension
fields for asymmetric error correction. The weight distinguishes between
elements from the base field and the ones outside of it, which is motivated by
asymmetric quantum codes. We set up the theoretic framework for this weight and
metric, inclu... | [
{
"version": "v1",
"created": "Thu, 1 Dec 2022 11:02:31 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Grassl",
"Markus",
""
],
[
"Horlemann",
"Anna-Lena",
""
],
[
"Weger",
"Violetta",
""
]
] | not_new_dataset | 0.997357 |
2212.02648 | Mazda Moayeri | Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi | Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases | Accepted to NeurIPS '23 (Spotlight) | null | null | null | cs.CV cs.AI cs.HC cs.LG | http://creativecommons.org/licenses/by/4.0/ | We present a simple but effective method to measure and mitigate model biases
caused by reliance on spurious cues. Instead of requiring costly changes to
one's data or model training, our method better utilizes the data one already
has by sorting them. Specifically, we rank images within their classes based on
spurio... | [
{
"version": "v1",
"created": "Mon, 5 Dec 2022 23:15:43 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 17:59:06 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Moayeri",
"Mazda",
""
],
[
"Wang",
"Wenxiao",
""
],
[
"Singla",
"Sahil",
""
],
[
"Feizi",
"Soheil",
""
]
] | not_new_dataset | 0.996785 |
2212.06074 | Chiyuan Zhang | Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin
Manurangsi, Avinash V Varadarajan, Chiyuan Zhang | Regression with Label Differential Privacy | Appeared at ICLR '23, 28 pages, 6 figures | null | null | null | cs.LG cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the task of training regression models with the guarantee of label
differential privacy (DP). Based on a global prior distribution on label
values, which could be obtained privately, we derive a label DP randomization
mechanism that is optimal under a given regression loss function. We prove that
the optimal... | [
{
"version": "v1",
"created": "Mon, 12 Dec 2022 17:41:32 GMT"
},
{
"version": "v2",
"created": "Tue, 29 Aug 2023 22:30:15 GMT"
},
{
"version": "v3",
"created": "Wed, 4 Oct 2023 18:45:53 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Ghazi",
"Badih",
""
],
[
"Kamath",
"Pritish",
""
],
[
"Kumar",
"Ravi",
""
],
[
"Leeman",
"Ethan",
""
],
[
"Manurangsi",
"Pasin",
""
],
[
"Varadarajan",
"Avinash V",
""
],
[
"Zhang",
"Chiyuan",
""
]
] | not_new_dataset | 0.997422 |
2212.06921 | Dylan Sam | Dylan Sam, J. Zico Kolter | Losses over Labels: Weakly Supervised Learning via Direct Loss
Construction | 13 pages, 3 figures, AAAI 2023 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Owing to the prohibitive costs of generating large amounts of labeled data,
programmatic weak supervision is a growing paradigm within machine learning. In
this setting, users design heuristics that provide noisy labels for subsets of
the data. These weak labels are combined (typically via a graphical model) to
form ... | [
{
"version": "v1",
"created": "Tue, 13 Dec 2022 22:29:14 GMT"
},
{
"version": "v2",
"created": "Wed, 4 Oct 2023 23:32:44 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Sam",
"Dylan",
""
],
[
"Kolter",
"J. Zico",
""
]
] | not_new_dataset | 0.997452 |
2212.12055 | Haiyuan Li | Haiyuan Li, Amin Emami, Karcius Assis, Antonis Vafeas, Ruizhi Yang,
Reza Nejabati, Shuangyi Yan, and Dimitra Simeonidou | DRL-based Energy-Efficient Baseband Function Deployments for
Service-Oriented Open RAN | null | null | null | null | cs.NI cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | Open Radio Access Network (Open RAN) has gained tremendous attention from
industry and academia with decentralized baseband functions across multiple
processing units located at different places. However, the ever-expanding scope
of RANs, along with fluctuations in resource utilization across different
locations and ... | [
{
"version": "v1",
"created": "Thu, 22 Dec 2022 22:07:26 GMT"
},
{
"version": "v2",
"created": "Fri, 30 Dec 2022 21:51:34 GMT"
},
{
"version": "v3",
"created": "Tue, 6 Jun 2023 09:00:24 GMT"
},
{
"version": "v4",
"created": "Sun, 18 Jun 2023 13:54:38 GMT"
},
{
"ve... | 2023-10-06T00:00:00 | [
[
"Li",
"Haiyuan",
""
],
[
"Emami",
"Amin",
""
],
[
"Assis",
"Karcius",
""
],
[
"Vafeas",
"Antonis",
""
],
[
"Yang",
"Ruizhi",
""
],
[
"Nejabati",
"Reza",
""
],
[
"Yan",
"Shuangyi",
""
],
[
"Simeonido... | not_new_dataset | 0.997202 |
2301.04142 | Fadime Bekmambetova | Fadime Bekmambetova and Piero Triverio | Conservation properties of a leapfrog finite-difference time-domain
method for the Schr\"odinger equation | 36 pages, 11 figures, 5 tables | null | 10.1109/TMTT.2023.3308198. | null | cs.CE physics.comp-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the probability and energy conservation properties of a leap-frog
finite-difference time-domain (FDTD) method for solving the Schr\"odinger
equation. We propose expressions for the total numerical probability and energy
contained in a region, and for the flux of probability current and power
through its boun... | [
{
"version": "v1",
"created": "Tue, 10 Jan 2023 16:38:58 GMT"
},
{
"version": "v2",
"created": "Wed, 12 Jul 2023 03:45:26 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Bekmambetova",
"Fadime",
""
],
[
"Triverio",
"Piero",
""
]
] | not_new_dataset | 0.997226 |
2301.04494 | Inder Pal Singh | Indel Pal Singh, Enjie Ghorbel, Oyebade Oyedotun, Djamila Aouada | Multi-label Image Classification using Adaptive Graph Convolutional
Networks: from a Single Domain to Multiple Domains | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | This paper proposes an adaptive graph-based approach for multi-label image
classification. Graph-based methods have been largely exploited in the field of
multi-label classification, given their ability to model label correlations.
Specifically, their effectiveness has been proven not only when considering a
single d... | [
{
"version": "v1",
"created": "Wed, 11 Jan 2023 14:42:47 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 09:28:57 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Singh",
"Indel Pal",
""
],
[
"Ghorbel",
"Enjie",
""
],
[
"Oyedotun",
"Oyebade",
""
],
[
"Aouada",
"Djamila",
""
]
] | not_new_dataset | 0.997144 |
2301.04554 | Wei Guo | Wei Guo, Benedetta Tondi, Mauro Barni | Universal Detection of Backdoor Attacks via Density-based Clustering and
Centroids Analysis | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | We propose a Universal Defence against backdoor attacks based on Clustering
and Centroids Analysis (CCA-UD). The goal of the defence is to reveal whether a
Deep Neural Network model is subject to a backdoor attack by inspecting the
training dataset. CCA-UD first clusters the samples of the training set by
means of de... | [
{
"version": "v1",
"created": "Wed, 11 Jan 2023 16:31:38 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 13:26:33 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Guo",
"Wei",
""
],
[
"Tondi",
"Benedetta",
""
],
[
"Barni",
"Mauro",
""
]
] | not_new_dataset | 0.99736 |
2301.05603 | Shiye Lei | Shiye Lei and Dacheng Tao | A Comprehensive Survey of Dataset Distillation | Accepted by IEEE TPAMI | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning technology has developed unprecedentedly in the last decade and
has become the primary choice in many application domains. This progress is
mainly attributed to a systematic collaboration in which rapidly growing
computing resources encourage advanced algorithms to deal with massive data.
However, it ha... | [
{
"version": "v1",
"created": "Fri, 13 Jan 2023 15:11:38 GMT"
},
{
"version": "v2",
"created": "Tue, 7 Feb 2023 09:21:44 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 01:09:29 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Lei",
"Shiye",
""
],
[
"Tao",
"Dacheng",
""
]
] | not_new_dataset | 0.997412 |
2301.06421 | Pei-Yu Chen | Pei-Yu Chen, Myrthe L. Tielman, Dirk K.J. Heylen, Catholijn M. Jonker,
M. Birna van Riemsdijk | AI Alignment Dialogues: An Interactive Approach to AI Alignment in
Support Agents | Withdraw because the content of the paper has been largely revised.
The newest version is very different than the submitted one | null | null | null | cs.AI cs.HC | http://creativecommons.org/licenses/by/4.0/ | AI alignment is about ensuring AI systems only pursue goals and activities
that are beneficial to humans. Most of the current approach to AI alignment is
to learn what humans value from their behavioural data. This paper proposes a
different way of looking at the notion of alignment, namely by introducing AI
Alignmen... | [
{
"version": "v1",
"created": "Mon, 16 Jan 2023 13:19:53 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 11:15:23 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Chen",
"Pei-Yu",
""
],
[
"Tielman",
"Myrthe L.",
""
],
[
"Heylen",
"Dirk K. J.",
""
],
[
"Jonker",
"Catholijn M.",
""
],
[
"van Riemsdijk",
"M. Birna",
""
]
] | not_new_dataset | 0.99743 |
2301.07305 | Mohammed Shafae | Md Habibor Rahman (1), Erfan Yazdandoost Hamedani (1), Young-Jun Son
(2), Mohammed Shafae (1) ((1) The University of Arizona, (2) Purdue
University) | Graph-Theoretic Approach for Manufacturing Cybersecurity Risk Modeling
and Assessment | 25 pages, 10 figures | null | null | null | cs.CR cs.SY eess.SY math.OC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Identifying, analyzing, and evaluating cybersecurity risks are essential to
assess the vulnerabilities of modern manufacturing infrastructures and to
devise effective decision-making strategies to secure critical manufacturing
against potential cyberattacks. In response, this work proposes a
graph-theoretic approach ... | [
{
"version": "v1",
"created": "Wed, 18 Jan 2023 04:54:00 GMT"
},
{
"version": "v2",
"created": "Wed, 4 Oct 2023 22:42:06 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Rahman",
"Md Habibor",
""
],
[
"Hamedani",
"Erfan Yazdandoost",
""
],
[
"Son",
"Young-Jun",
""
],
[
"Shafae",
"Mohammed",
""
]
] | not_new_dataset | 0.997348 |
2301.09350 | Anastasios Nentidis | Anastasios Nentidis, Thomas Chatzopoulos, Anastasia Krithara,
Grigorios Tsoumakas, Georgios Paliouras | Large-scale investigation of weakly-supervised deep learning for the
fine-grained semantic indexing of biomedical literature | 26 pages, 5 figures, 4 tables. A more concise version | Journal of Biomedical Informatics, Volume 146, 2023, 104499, ISSN
1532-0464 | 10.1016/j.jbi.2023.104499 | null | cs.CL cs.DL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Objective: Semantic indexing of biomedical literature is usually done at the
level of MeSH descriptors with several related but distinct biomedical concepts
often grouped together and treated as a single topic. This study proposes a new
method for the automated refinement of subject annotations at the level of MeSH
c... | [
{
"version": "v1",
"created": "Mon, 23 Jan 2023 10:33:22 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 14:17:39 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Nentidis",
"Anastasios",
""
],
[
"Chatzopoulos",
"Thomas",
""
],
[
"Krithara",
"Anastasia",
""
],
[
"Tsoumakas",
"Grigorios",
""
],
[
"Paliouras",
"Georgios",
""
]
] | not_new_dataset | 0.997367 |
2302.00589 | Ghazal Kalhor | Ghazal Kalhor, Tanin Zeraati, Behnam Bahrak | Diversity dilemmas: uncovering gender and nationality biases in graduate
admissions across top North American computer science programs | null | null | 10.1140/epjds/s13688-023-00422-5 | null | cs.CY cs.SI | http://creativecommons.org/licenses/by/4.0/ | Although different organizations have defined policies towards diversity in
academia, many argue that minorities are still disadvantaged in university
admissions due to biases. Extensive research has been conducted on detecting
partiality patterns in the academic community. However, in the last few
decades, limited r... | [
{
"version": "v1",
"created": "Wed, 1 Feb 2023 17:02:08 GMT"
},
{
"version": "v2",
"created": "Tue, 29 Aug 2023 19:30:27 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Kalhor",
"Ghazal",
""
],
[
"Zeraati",
"Tanin",
""
],
[
"Bahrak",
"Behnam",
""
]
] | new_dataset | 0.996857 |
2302.00942 | Han Lin | Krzysztof Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli
Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii
Likhosherstov, Somnath Basu Roy Chowdhury, Avinava Dubey, Deepali Jain, Tamas
Sarlos, Snigdha Chaturvedi, Adrian Weller | Efficient Graph Field Integrators Meet Point Clouds | null | ICML 2023 | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We present two new classes of algorithms for efficient field integration on
graphs encoding point clouds. The first class, SeparatorFactorization(SF),
leverages the bounded genus of point cloud mesh graphs, while the second class,
RFDiffusion(RFD), uses popular epsilon-nearest-neighbor graph representations
for point... | [
{
"version": "v1",
"created": "Thu, 2 Feb 2023 08:33:36 GMT"
},
{
"version": "v2",
"created": "Sun, 5 Feb 2023 20:12:24 GMT"
},
{
"version": "v3",
"created": "Wed, 12 Apr 2023 22:27:17 GMT"
},
{
"version": "v4",
"created": "Sat, 10 Jun 2023 01:29:45 GMT"
},
{
"ver... | 2023-10-06T00:00:00 | [
[
"Choromanski",
"Krzysztof",
""
],
[
"Sehanobish",
"Arijit",
""
],
[
"Lin",
"Han",
""
],
[
"Zhao",
"Yunfan",
""
],
[
"Berger",
"Eli",
""
],
[
"Parshakova",
"Tetiana",
""
],
[
"Pan",
"Alvin",
""
],
[
... | not_new_dataset | 0.997327 |
2302.02394 | Zuopeng Yang | Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang,
Chaoyue Wang | Eliminating Contextual Prior Bias for Semantic Image Editing via
Dual-Cycle Diffusion | This paper has been accepted by the IEEE Transactions on Circuits and
Systems for Video Technology (TCSVT) | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The recent success of text-to-image generation diffusion models has also
revolutionized semantic image editing, enabling the manipulation of images
based on query/target texts. Despite these advancements, a significant
challenge lies in the potential introduction of contextual prior bias in
pre-trained models during ... | [
{
"version": "v1",
"created": "Sun, 5 Feb 2023 14:30:22 GMT"
},
{
"version": "v2",
"created": "Tue, 7 Feb 2023 02:57:45 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 14:35:08 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Yang",
"Zuopeng",
""
],
[
"Chu",
"Tianshu",
""
],
[
"Lin",
"Xin",
""
],
[
"Gao",
"Erdun",
""
],
[
"Liu",
"Daqing",
""
],
[
"Yang",
"Jie",
""
],
[
"Wang",
"Chaoyue",
""
]
] | not_new_dataset | 0.99726 |
2302.02787 | Lena Mangold | Lena Mangold and Camille Roth | Generative models for two-ground-truth partitions in networks | null | null | null | null | cs.SI cond-mat.stat-mech cs.LG physics.data-an physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A myriad of approaches have been proposed to characterise the mesoscale
structure of networks - most often as a partition based on patterns variously
called communities, blocks, or clusters. Clearly, distinct methods designed to
detect different types of patterns may provide a variety of answers to the
network's meso... | [
{
"version": "v1",
"created": "Mon, 6 Feb 2023 14:02:28 GMT"
},
{
"version": "v2",
"created": "Tue, 4 Jul 2023 19:01:52 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 13:00:34 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Mangold",
"Lena",
""
],
[
"Roth",
"Camille",
""
]
] | not_new_dataset | 0.997372 |
2302.02936 | Alex Bie | Alex Bie, Gautam Kamath, Guojun Zhang | Private GANs, Revisited | 28 pages; revisions and new experiments from TMLR camera-ready + code
release at https://github.com/alexbie98/dpgan-revisit | null | null | null | cs.LG cs.CR cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We show that the canonical approach for training differentially private GANs
-- updating the discriminator with differentially private stochastic gradient
descent (DPSGD) -- can yield significantly improved results after modifications
to training. Specifically, we propose that existing instantiations of this
approach... | [
{
"version": "v1",
"created": "Mon, 6 Feb 2023 17:11:09 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 04:47:52 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Bie",
"Alex",
""
],
[
"Kamath",
"Gautam",
""
],
[
"Zhang",
"Guojun",
""
]
] | not_new_dataset | 0.997418 |
2302.04054 | Michael Hagmann | Michael Hagmann, Philipp Meier and Stefan Riezler | Towards Inferential Reproducibility of Machine Learning Research | Published at ICLR 2023 | null | null | null | cs.LG cs.AI cs.CL stat.AP stat.ML | http://creativecommons.org/licenses/by/4.0/ | Reliability of machine learning evaluation -- the consistency of observed
evaluation scores across replicated model training runs -- is affected by
several sources of nondeterminism which can be regarded as measurement noise.
Current tendencies to remove noise in order to enforce reproducibility of
research results n... | [
{
"version": "v1",
"created": "Wed, 8 Feb 2023 13:47:00 GMT"
},
{
"version": "v2",
"created": "Fri, 10 Feb 2023 10:45:09 GMT"
},
{
"version": "v3",
"created": "Thu, 16 Feb 2023 13:56:26 GMT"
},
{
"version": "v4",
"created": "Wed, 8 Mar 2023 11:37:27 GMT"
},
{
"ver... | 2023-10-06T00:00:00 | [
[
"Hagmann",
"Michael",
""
],
[
"Meier",
"Philipp",
""
],
[
"Riezler",
"Stefan",
""
]
] | not_new_dataset | 0.997504 |
2302.11791 | Gyanendra Kumar Verma | Gyanendra K. Verma and R. K. Sharma | Additive complementary dual codes over $\mathbb{F}_{q^2}$ | There has been major changes in this manuscript we will submit new
one | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | Shi et al. [Additive complementary dual codes over F4. Designs, Codes and
Cryptography, 2022.] studied additive codes over the finite field F4 with
respect to trace Hermitian and trace Euclidean inner products. In this article,
we define additive codes of length n over finite field Fq2 as additive
subgroups of Fn q2 ... | [
{
"version": "v1",
"created": "Thu, 23 Feb 2023 06:12:14 GMT"
},
{
"version": "v2",
"created": "Sat, 6 May 2023 17:38:14 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 09:08:46 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Verma",
"Gyanendra K.",
""
],
[
"Sharma",
"R. K.",
""
]
] | not_new_dataset | 0.996993 |
2303.00047 | Indranil Saha | Ratijit Mitra and Indranil Saha | Online On-Demand Multi-Robot Coverage Path Planning | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an online centralized path planning algorithm to cover a large,
complex, unknown workspace with multiple homogeneous mobile robots. Our
algorithm is horizon-based, synchronous, and on-demand. The recently proposed
horizon-based synchronous algorithms compute all the robots' paths in each
horizon, significa... | [
{
"version": "v1",
"created": "Tue, 28 Feb 2023 19:43:23 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 10:02:31 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Mitra",
"Ratijit",
""
],
[
"Saha",
"Indranil",
""
]
] | not_new_dataset | 0.997114 |
2303.01338 | Amira Guesmi | Amira Guesmi, Muhammad Abdullah Hanif, and Muhammad Shafique | AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision
Systems | null | null | null | null | cs.CV cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vision-based perception modules are increasingly deployed in many
applications, especially autonomous vehicles and intelligent robots. These
modules are being used to acquire information about the surroundings and
identify obstacles. Hence, accurate detection and classification are essential
to reach appropriate deci... | [
{
"version": "v1",
"created": "Thu, 2 Mar 2023 15:14:46 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 11:55:37 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Guesmi",
"Amira",
""
],
[
"Hanif",
"Muhammad Abdullah",
""
],
[
"Shafique",
"Muhammad",
""
]
] | not_new_dataset | 0.997012 |
2303.02950 | Ying Gao | Ying Gao, Qingqing Wu, Wen Chen, Celimuge Wu, Derrick Wing Kwan Ng,
Naofal Al-Dhahir | Exploiting Intelligent Reflecting Surfaces for Interference Channels
with SWIPT | 30 pages, accepted by IEEE Transactions on Wireless Communications | null | 10.1109/TWC.2023.3318795 | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper considers intelligent reflecting surface (IRS)-aided simultaneous
wireless information and power transfer (SWIPT) in a multi-user multiple-input
single-output (MISO) interference channel (IFC), where multiple transmitters
(Txs) serve their corresponding receivers (Rxs) in a shared spectrum with the
aid of ... | [
{
"version": "v1",
"created": "Mon, 6 Mar 2023 07:44:05 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 17:09:30 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Gao",
"Ying",
""
],
[
"Wu",
"Qingqing",
""
],
[
"Chen",
"Wen",
""
],
[
"Wu",
"Celimuge",
""
],
[
"Ng",
"Derrick Wing Kwan",
""
],
[
"Al-Dhahir",
"Naofal",
""
]
] | not_new_dataset | 0.997425 |
2303.06088 | Marin Scalbert | Marin Scalbert and Maria Vakalopoulou and Florent Couzini\'e-Devy | Towards domain-invariant Self-Supervised Learning with Batch Styles
Standardization | Under review as conference paper | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In Self-Supervised Learning (SSL), models are typically pretrained,
fine-tuned, and evaluated on the same domains. However, they tend to perform
poorly when evaluated on unseen domains, a challenge that Unsupervised Domain
Generalization (UDG) seeks to address. Current UDG methods rely on domain
labels, which are oft... | [
{
"version": "v1",
"created": "Fri, 10 Mar 2023 17:09:04 GMT"
},
{
"version": "v2",
"created": "Mon, 13 Mar 2023 10:05:01 GMT"
},
{
"version": "v3",
"created": "Mon, 24 Apr 2023 10:04:08 GMT"
},
{
"version": "v4",
"created": "Thu, 5 Oct 2023 09:55:46 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Scalbert",
"Marin",
""
],
[
"Vakalopoulou",
"Maria",
""
],
[
"Couzinié-Devy",
"Florent",
""
]
] | not_new_dataset | 0.99744 |
2303.09230 | Xie Yi | Yi Xie, Huaidong Zhang, Xuemiao Xu, Jianqing Zhu, Shengfeng He | Towards a Smaller Student: Capacity Dynamic Distillation for Efficient
Image Retrieval | Accepted by CVPR2023 | Towards a Smaller Student: Capacity Dynamic Distillation for
Efficient Image Retrieval, Proceedings of the IEEE/CVF Conference on Computer
Vision and Pattern Recognition (CVPR), 2023,16006-16015 | 10.1109/CVPR52729.2023.01536 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Previous Knowledge Distillation based efficient image retrieval methods
employs a lightweight network as the student model for fast inference. However,
the lightweight student model lacks adequate representation capacity for
effective knowledge imitation during the most critical early training period,
causing final p... | [
{
"version": "v1",
"created": "Thu, 16 Mar 2023 11:09:22 GMT"
},
{
"version": "v2",
"created": "Wed, 31 May 2023 15:32:48 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Xie",
"Yi",
""
],
[
"Zhang",
"Huaidong",
""
],
[
"Xu",
"Xuemiao",
""
],
[
"Zhu",
"Jianqing",
""
],
[
"He",
"Shengfeng",
""
]
] | not_new_dataset | 0.997303 |
2303.09234 | Yining Jiao | Yining Jiao, Carlton Zdanski, Julia Kimbell, Andrew Prince, Cameron
Worden, Samuel Kirse, Christopher Rutter, Benjamin Shields, William Dunn,
Jisan Mahmud, Marc Niethammer | NAISR: A 3D Neural Additive Model for Interpretable Shape Representation | 28 pages | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Deep implicit functions (DIFs) have emerged as a powerful paradigm for many
computer vision tasks such as 3D shape reconstruction, generation,
registration, completion, editing, and understanding. However, given a set of
3D shapes with associated covariates there is at present no shape
representation method which all... | [
{
"version": "v1",
"created": "Thu, 16 Mar 2023 11:18:04 GMT"
},
{
"version": "v2",
"created": "Sat, 18 Mar 2023 12:13:19 GMT"
},
{
"version": "v3",
"created": "Tue, 28 Mar 2023 20:07:21 GMT"
},
{
"version": "v4",
"created": "Thu, 5 Oct 2023 09:25:26 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Jiao",
"Yining",
""
],
[
"Zdanski",
"Carlton",
""
],
[
"Kimbell",
"Julia",
""
],
[
"Prince",
"Andrew",
""
],
[
"Worden",
"Cameron",
""
],
[
"Kirse",
"Samuel",
""
],
[
"Rutter",
"Christopher",
""
],
[
... | not_new_dataset | 0.996392 |
2303.09874 | Alexander Hepburn | Alexander Hepburn, Valero Laparra, Ra\'ul Santos-Rodriguez, Jes\'us
Malo | Disentangling the Link Between Image Statistics and Human Perception | null | null | null | null | cs.CV cs.LG q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the 1950s, Barlow and Attneave hypothesised a link between biological
vision and information maximisation. Following Shannon, information was defined
using the probability of natural images. A number of physiological and
psychophysical phenomena have been derived ever since from principles like
info-max, efficient... | [
{
"version": "v1",
"created": "Fri, 17 Mar 2023 10:38:27 GMT"
},
{
"version": "v2",
"created": "Mon, 2 Oct 2023 09:40:54 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 14:06:32 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Hepburn",
"Alexander",
""
],
[
"Laparra",
"Valero",
""
],
[
"Santos-Rodriguez",
"Raúl",
""
],
[
"Malo",
"Jesús",
""
]
] | not_new_dataset | 0.997416 |
2303.10650 | Natalia \'Slusarz | Natalia \'Slusarz, Ekaterina Komendantskaya, Matthew L. Daggitt,
Robert Stewart, Kathrin Stark | Logic of Differentiable Logics: Towards a Uniform Semantics of DL | LPAR'23 | null | null | null | cs.LO cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Differentiable logics (DL) have recently been proposed as a method of
training neural networks to satisfy logical specifications. A DL consists of a
syntax in which specifications are stated and an interpretation function that
translates expressions in the syntax into loss functions. These loss functions
can then be ... | [
{
"version": "v1",
"created": "Sun, 19 Mar 2023 13:03:51 GMT"
},
{
"version": "v2",
"created": "Mon, 15 May 2023 13:30:45 GMT"
},
{
"version": "v3",
"created": "Wed, 24 May 2023 13:33:37 GMT"
},
{
"version": "v4",
"created": "Thu, 5 Oct 2023 11:17:08 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Ślusarz",
"Natalia",
""
],
[
"Komendantskaya",
"Ekaterina",
""
],
[
"Daggitt",
"Matthew L.",
""
],
[
"Stewart",
"Robert",
""
],
[
"Stark",
"Kathrin",
""
]
] | not_new_dataset | 0.997339 |
2303.12214 | Jingwei Zhang | Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel Saltz,
Maria Vakalopoulou, Dimitris Samaras | Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific
Prompt Tuning | Accepted to MICCAI 2023 (Oral) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Whole slide image (WSI) classification is a critical task in computational
pathology, requiring the processing of gigapixel-sized images, which is
challenging for current deep-learning methods. Current state of the art methods
are based on multi-instance learning schemes (MIL), which usually rely on
pretrained featur... | [
{
"version": "v1",
"created": "Tue, 21 Mar 2023 22:24:27 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 03:50:19 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Zhang",
"Jingwei",
""
],
[
"Kapse",
"Saarthak",
""
],
[
"Ma",
"Ke",
""
],
[
"Prasanna",
"Prateek",
""
],
[
"Saltz",
"Joel",
""
],
[
"Vakalopoulou",
"Maria",
""
],
[
"Samaras",
"Dimitris",
""
]
] | not_new_dataset | 0.99728 |
2303.14655 | Ji Qi | Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi
Wang, Yuxiao Dong, Bin Xu, Lei Hou, Juanzi Li, Jie Tang, Weidong Guo, Hui
Liu, Yu Xu | GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for
Real-time Soccer Commentary Generation | Accepted by CIKM 2023 | null | null | null | cs.CV cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite the recent emergence of video captioning models, how to generate
vivid, fine-grained video descriptions based on the background knowledge (i.e.,
long and informative commentary about the domain-specific scenes with
appropriate reasoning) is still far from being solved, which however has great
applications suc... | [
{
"version": "v1",
"created": "Sun, 26 Mar 2023 08:43:36 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 06:55:13 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Qi",
"Ji",
""
],
[
"Yu",
"Jifan",
""
],
[
"Tu",
"Teng",
""
],
[
"Gao",
"Kunyu",
""
],
[
"Xu",
"Yifan",
""
],
[
"Guan",
"Xinyu",
""
],
[
"Wang",
"Xiaozhi",
""
],
[
"Dong",
"Yuxiao",
""
],
... | new_dataset | 0.997324 |
2303.15375 | Yan Sun | Yan Sun, Yifan Yuan, Zeduo Yu, Reese Kuper, Chihun Song, Jinghan
Huang, Houxiang Ji, Siddharth Agarwal, Jiaqi Lou, Ipoom Jeong, Ren Wang, Jung
Ho Ahn, Tianyin Xu, Nam Sung Kim | Demystifying CXL Memory with Genuine CXL-Ready Systems and Devices | This paper has been accepted by MICRO'23. Please refer to the
https://doi.org/10.1145/3613424.3614256 for the official version of this
paper | null | 10.1145/3613424.3614256 | null | cs.PF cs.AR | http://creativecommons.org/licenses/by/4.0/ | The ever-growing demands for memory with larger capacity and higher bandwidth
have driven recent innovations on memory expansion and disaggregation
technologies based on Compute eXpress Link (CXL). Especially, CXL-based memory
expansion technology has recently gained notable attention for its ability not
only to econ... | [
{
"version": "v1",
"created": "Mon, 27 Mar 2023 16:51:26 GMT"
},
{
"version": "v2",
"created": "Tue, 4 Apr 2023 04:25:32 GMT"
},
{
"version": "v3",
"created": "Sun, 30 Jul 2023 22:40:13 GMT"
},
{
"version": "v4",
"created": "Thu, 5 Oct 2023 03:58:56 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Sun",
"Yan",
""
],
[
"Yuan",
"Yifan",
""
],
[
"Yu",
"Zeduo",
""
],
[
"Kuper",
"Reese",
""
],
[
"Song",
"Chihun",
""
],
[
"Huang",
"Jinghan",
""
],
[
"Ji",
"Houxiang",
""
],
[
"Agarwal",
"Siddha... | not_new_dataset | 0.997382 |
2303.16887 | Guan Zhe Hong | Guan Zhe Hong, Yin Cui, Ariel Fuxman, Stanley H. Chan, Enming Luo | Towards Understanding the Effect of Pretraining Label Granularity | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study how the granularity of pretraining labels affects the
generalization of deep neural networks in image classification tasks. We focus
on the "fine-to-coarse" transfer learning setting, where the pretraining label
space is more fine-grained than that of the target problem. Empirically, we
show t... | [
{
"version": "v1",
"created": "Wed, 29 Mar 2023 17:56:36 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 17:32:26 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Hong",
"Guan Zhe",
""
],
[
"Cui",
"Yin",
""
],
[
"Fuxman",
"Ariel",
""
],
[
"Chan",
"Stanley H.",
""
],
[
"Luo",
"Enming",
""
]
] | not_new_dataset | 0.997515 |
2304.03752 | Jiaqi Wang | Jiaqi Wang, Pan Zhang, Tao Chu, Yuhang Cao, Yujie Zhou, Tong Wu, Bin
Wang, Conghui He, Dahua Lin | V3Det: Vast Vocabulary Visual Detection Dataset | ICCV 2023 Oral Camera Ready | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in detecting arbitrary objects in the real world are trained
and evaluated on object detection datasets with a relatively restricted
vocabulary. To facilitate the development of more general visual object
detection, we propose V3Det, a vast vocabulary visual detection dataset with
precisely annotated ... | [
{
"version": "v1",
"created": "Fri, 7 Apr 2023 17:45:35 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 12:18:14 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Wang",
"Jiaqi",
""
],
[
"Zhang",
"Pan",
""
],
[
"Chu",
"Tao",
""
],
[
"Cao",
"Yuhang",
""
],
[
"Zhou",
"Yujie",
""
],
[
"Wu",
"Tong",
""
],
[
"Wang",
"Bin",
""
],
[
"He",
"Conghui",
""
],... | new_dataset | 0.997916 |
2304.04327 | Jinyi Ye | Jinyi Ye, Nikhil Jindal, Francesco Pierri, Luca Luceri | Online Networks of Support in Distressed Environments: Solidarity and
Mobilization during the Russian Invasion of Ukraine | Presented at ICWSM2023 Workshop "Data for the Wellbeing of Most
Vulnerable" | Proceedings of the ICWSM Workshops 2023 | 10.36190/2023.05 | null | cs.SI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Despite their drawbacks and unintended consequences, social media networks
have recently emerged as a crucial resource for individuals in distress,
particularly during times of crisis. These platforms serve as a means to seek
assistance and support, share reliable information, and appeal for action and
solidarity. In... | [
{
"version": "v1",
"created": "Sun, 9 Apr 2023 23:27:59 GMT"
},
{
"version": "v2",
"created": "Mon, 15 May 2023 22:17:40 GMT"
},
{
"version": "v3",
"created": "Wed, 4 Oct 2023 21:59:32 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Ye",
"Jinyi",
""
],
[
"Jindal",
"Nikhil",
""
],
[
"Pierri",
"Francesco",
""
],
[
"Luceri",
"Luca",
""
]
] | not_new_dataset | 0.99743 |
2304.05128 | Xinyun Chen | Xinyun Chen, Maxwell Lin, Nathanael Sch\"arli, Denny Zhou | Teaching Large Language Models to Self-Debug | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) have achieved impressive performance on code
generation. However, for complex programming tasks, generating the correct
solution in one go becomes challenging, thus some prior works have designed
program repair approaches to improve code generation performance. In this work,
we propose Se... | [
{
"version": "v1",
"created": "Tue, 11 Apr 2023 10:43:43 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 09:12:07 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Chen",
"Xinyun",
""
],
[
"Lin",
"Maxwell",
""
],
[
"Schärli",
"Nathanael",
""
],
[
"Zhou",
"Denny",
""
]
] | not_new_dataset | 0.977384 |
2304.06715 | Jonathan Crabb\'e | Jonathan Crabb\'e, Mihaela van der Schaar | Evaluating the Robustness of Interpretability Methods through
Explanation Invariance and Equivariance | Presented at NeurIPS 2023 | null | null | null | cs.LG cs.AI cs.CG | http://creativecommons.org/licenses/by/4.0/ | Interpretability methods are valuable only if their explanations faithfully
describe the explained model. In this work, we consider neural networks whose
predictions are invariant under a specific symmetry group. This includes
popular architectures, ranging from convolutional to graph neural networks. Any
explanation... | [
{
"version": "v1",
"created": "Thu, 13 Apr 2023 17:59:03 GMT"
},
{
"version": "v2",
"created": "Fri, 12 May 2023 17:59:25 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 15:29:01 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Crabbé",
"Jonathan",
""
],
[
"van der Schaar",
"Mihaela",
""
]
] | not_new_dataset | 0.997409 |
2304.08247 | Keno Bressem | Tianyu Han and Lisa C. Adams and Jens-Michalis Papaioannou and Paul
Grundmann and Tom Oberhauser and Alexander L\"oser and Daniel Truhn and Keno
K. Bressem | MedAlpaca -- An Open-Source Collection of Medical Conversational AI
Models and Training Data | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | As large language models (LLMs) like OpenAI's GPT series continue to make
strides, we witness the emergence of artificial intelligence applications in an
ever-expanding range of fields. In medicine, these LLMs hold considerable
promise for improving medical workflows, diagnostics, patient care, and
education. Yet, th... | [
{
"version": "v1",
"created": "Fri, 14 Apr 2023 11:28:08 GMT"
},
{
"version": "v2",
"created": "Wed, 4 Oct 2023 23:28:00 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Han",
"Tianyu",
""
],
[
"Adams",
"Lisa C.",
""
],
[
"Papaioannou",
"Jens-Michalis",
""
],
[
"Grundmann",
"Paul",
""
],
[
"Oberhauser",
"Tom",
""
],
[
"Löser",
"Alexander",
""
],
[
"Truhn",
"Daniel",
""
]... | new_dataset | 0.997839 |
2304.08979 | Xinyue Shen | Xinyue Shen and Zeyuan Chen and Michael Backes and Yang Zhang | In ChatGPT We Trust? Measuring and Characterizing the Reliability of
ChatGPT | null | null | null | null | cs.CR cs.LG | http://creativecommons.org/licenses/by/4.0/ | The way users acquire information is undergoing a paradigm shift with the
advent of ChatGPT. Unlike conventional search engines, ChatGPT retrieves
knowledge from the model itself and generates answers for users. ChatGPT's
impressive question-answering (QA) capability has attracted more than 100
million users within a... | [
{
"version": "v1",
"created": "Tue, 18 Apr 2023 13:20:45 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 13:27:12 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Shen",
"Xinyue",
""
],
[
"Chen",
"Zeyuan",
""
],
[
"Backes",
"Michael",
""
],
[
"Zhang",
"Yang",
""
]
] | not_new_dataset | 0.997463 |
2304.09666 | Marc Fuchs | Marc Fuchs and Fabian Kuhn | List Defective Colorings: Distributed Algorithms and Applications | null | null | 10.4230/LIPIcs.DISC.2023.22 | null | cs.DC cs.DS | http://creativecommons.org/licenses/by/4.0/ | The distributed coloring problem is at the core of the area of distributed
graph algorithms and it is a problem that has seen tremendous progress over the
last few years. Much of the remarkable recent progress on deterministic
distributed coloring algorithms is based on two main tools: a) defective
colorings in which... | [
{
"version": "v1",
"created": "Wed, 19 Apr 2023 13:52:47 GMT"
},
{
"version": "v2",
"created": "Mon, 7 Aug 2023 14:23:40 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Fuchs",
"Marc",
""
],
[
"Kuhn",
"Fabian",
""
]
] | not_new_dataset | 0.997405 |
2304.11004 | Huayu Li | Huayu Li, Xiwen Chen, Gregory Ditzler, Janet Roveda, Ao Li | Knowledge Distillation Under Ideal Joint Classifier Assumption | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge distillation constitutes a potent methodology for condensing
substantial neural networks into more compact and efficient counterparts.
Within this context, softmax regression representation learning serves as a
widely embraced approach, leveraging a pre-established teacher network to guide
the learning proc... | [
{
"version": "v1",
"created": "Wed, 19 Apr 2023 21:06:00 GMT"
},
{
"version": "v2",
"created": "Wed, 4 Oct 2023 23:33:35 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Li",
"Huayu",
""
],
[
"Chen",
"Xiwen",
""
],
[
"Ditzler",
"Gregory",
""
],
[
"Roveda",
"Janet",
""
],
[
"Li",
"Ao",
""
]
] | not_new_dataset | 0.997422 |
2304.14420 | Albert Lam | Albert Lam, Mihai Anitescu, Anirudh Subramanyam | Network Cascade Vulnerability using Constrained Bayesian Optimization | 13 pages, 5 figures | null | null | null | cs.SI cs.LG math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Measures of power grid vulnerability are often assessed by the amount of
damage an adversary can exact on the network. However, the cascading impact of
such attacks is often overlooked, even though cascades are one of the primary
causes of large-scale blackouts. This paper explores modifications of
transmission line ... | [
{
"version": "v1",
"created": "Thu, 27 Apr 2023 02:31:20 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 02:19:18 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Lam",
"Albert",
""
],
[
"Anitescu",
"Mihai",
""
],
[
"Subramanyam",
"Anirudh",
""
]
] | not_new_dataset | 0.997363 |
2304.14993 | Dhruv Kumar | Ishika Joshi, Ritvik Budhiraja, Harshal Dev, Jahnvi Kadia, M. Osama
Ataullah, Sayan Mitra, Dhruv Kumar, Harshal D. Akolekar | ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses
for Solving Undergraduate Computer Science Questions | Accepted in SIGCSE TS 2024 | null | null | null | cs.HC cs.AI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | ChatGPT is an AI language model developed by OpenAI that can understand and
generate human-like text. It can be used for a variety of use cases such as
language generation, question answering, text summarization, chatbot
development, language translation, sentiment analysis, content creation,
personalization, text co... | [
{
"version": "v1",
"created": "Fri, 28 Apr 2023 17:26:32 GMT"
},
{
"version": "v2",
"created": "Wed, 17 May 2023 14:44:32 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 04:18:28 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Joshi",
"Ishika",
""
],
[
"Budhiraja",
"Ritvik",
""
],
[
"Dev",
"Harshal",
""
],
[
"Kadia",
"Jahnvi",
""
],
[
"Ataullah",
"M. Osama",
""
],
[
"Mitra",
"Sayan",
""
],
[
"Kumar",
"Dhruv",
""
],
[
"Ak... | not_new_dataset | 0.997434 |
2305.06410 | Hsueh-Ti Derek Liu | Hsueh-Ti Derek Liu, Mark Gillespie, Benjamin Chislett, Nicholas Sharp,
Alec Jacobson, Keenan Crane | Surface Simplification using Intrinsic Error Metrics | SIGGRAPH 2023 | ACM Transactions on Graphics, Vol.42, No. 4, August 2023 | null | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes a method for fast simplification of surface meshes.
Whereas past methods focus on visual appearance, our goal is to solve equations
on the surface. Hence, rather than approximate the extrinsic geometry, we
construct a coarse intrinsic triangulation of the input domain. In the spirit
of the quadri... | [
{
"version": "v1",
"created": "Wed, 10 May 2023 18:41:48 GMT"
},
{
"version": "v2",
"created": "Wed, 4 Oct 2023 18:11:24 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Liu",
"Hsueh-Ti Derek",
""
],
[
"Gillespie",
"Mark",
""
],
[
"Chislett",
"Benjamin",
""
],
[
"Sharp",
"Nicholas",
""
],
[
"Jacobson",
"Alec",
""
],
[
"Crane",
"Keenan",
""
]
] | not_new_dataset | 0.996532 |
2305.07962 | Constantin Runge | Constantin Runge and Thomas Wiegart and Diego Lentner | Improved List Decoding for Polar-Coded Probabilistic Shaping | 5 pages, 3 figures; as presented at ISTC 2023 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A modified successive cancellation list (SCL) decoder is proposed for
polar-coded probabilistic shaping. The decoder exploits the deterministic
encoding rule for shaping bits to rule out candidate code words that the
encoder would not generate. This provides error detection and decreases error
rates compared to stand... | [
{
"version": "v1",
"created": "Sat, 13 May 2023 16:41:56 GMT"
},
{
"version": "v2",
"created": "Tue, 22 Aug 2023 08:38:12 GMT"
},
{
"version": "v3",
"created": "Thu, 5 Oct 2023 14:37:51 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Runge",
"Constantin",
""
],
[
"Wiegart",
"Thomas",
""
],
[
"Lentner",
"Diego",
""
]
] | not_new_dataset | 0.996789 |
2305.11779 | Huitong Pan | Huitong Pan, Qi Zhang, Eduard Dragut, Cornelia Caragea, Longin Jan
Latecki | DMDD: A Large-Scale Dataset for Dataset Mentions Detection | Pre-MIT Press publication version. Submitted to TACL | Transactions of the Association for Computational Linguistics. 11
(2023) 1132-1146 | 10.1162/tacl_a_00592 | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | The recognition of dataset names is a critical task for automatic information
extraction in scientific literature, enabling researchers to understand and
identify research opportunities. However, existing corpora for dataset mention
detection are limited in size and naming diversity. In this paper, we introduce
the D... | [
{
"version": "v1",
"created": "Fri, 19 May 2023 16:18:00 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Pan",
"Huitong",
""
],
[
"Zhang",
"Qi",
""
],
[
"Dragut",
"Eduard",
""
],
[
"Caragea",
"Cornelia",
""
],
[
"Latecki",
"Longin Jan",
""
]
] | new_dataset | 0.997837 |
2305.12081 | Zifeng Wang | Zifeng Wang and Chufan Gao and Cao Xiao and Jimeng Sun | MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation,
Enrichment, and Refinement | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Tabular data prediction has been employed in medical applications such as
patient health risk prediction. However, existing methods usually revolve
around the algorithm design while overlooking the significance of data
engineering. Medical tabular datasets frequently exhibit significant
heterogeneity across different... | [
{
"version": "v1",
"created": "Sat, 20 May 2023 03:37:09 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 05:40:00 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Wang",
"Zifeng",
""
],
[
"Gao",
"Chufan",
""
],
[
"Xiao",
"Cao",
""
],
[
"Sun",
"Jimeng",
""
]
] | not_new_dataset | 0.99709 |
2305.12766 | Chi Han | Chi Han, Ziqi Wang, Han Zhao, Heng Ji | Explaining Emergent In-Context Learning as Kernel Regression | 9 pages, 4 figures | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) have initiated a paradigm shift in transfer
learning. In contrast to the classic pretraining-then-finetuning procedure, in
order to use LLMs for downstream prediction tasks, one only needs to provide a
few demonstrations, known as in-context examples, without adding more or
updating exist... | [
{
"version": "v1",
"created": "Mon, 22 May 2023 06:45:02 GMT"
},
{
"version": "v2",
"created": "Thu, 5 Oct 2023 16:04:43 GMT"
}
] | 2023-10-06T00:00:00 | [
[
"Han",
"Chi",
""
],
[
"Wang",
"Ziqi",
""
],
[
"Zhao",
"Han",
""
],
[
"Ji",
"Heng",
""
]
] | not_new_dataset | 0.99746 |
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