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Top of the week paper in ArXiv
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GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification
Open
https://arxiv.org/abs/2302.12814
1.25
Mengting Zhou, Zhiguo Gong
cs.LG
2023/02/24
5
0
5
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking Datasets
Open
https://arxiv.org/abs/2302.12772v1
4.5
Yelena Randall, Tali Treibitz
cs.RO
2023/02/24
10
0
10
Analyzing the impact of climate change on critical infrastructure from the scientific literature: A weakly supervised NLP approach
Open
https://arxiv.org/abs/2302.01887
0.75
Tanwi Mallick, Joshua David Bergerson, Duane R. Verner, John K Hutchison, Leslie-Anne Levy, Prasanna Balaprakash
cs.LG
2023/02/03
3
0
3
Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces
Open
https://arxiv.org/abs/2301.08245v1
2.75
Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
cs.CV
2023/01/19
7
0
8
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Open
https://arxiv.org/abs/2301.08243
27.650000000000006
Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael Rabbat, Yann LeCun, Nicolas Ballas
cs.CV
2023/01/19
54
0
61
Efficient Pricing and Hedging of High Dimensional American Options Using Recurrent Networks
Open
http://dx.doi.org/10.1080/14697688.2023.2167666
1.25
Andrew Na, Justin Wan
q-fin.MF
2023/01/19
5
0
6
Diffusion-based Conditional ECG Generation with Structured State Space Models
Open
https://arxiv.org/abs/2301.08227
2.75
Juan Miguel Lopez Alcaraz, Nils Strodthoff
eess.SP
2023/01/19
7
0
10
Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient
Open
https://arxiv.org/abs/2301.08215
2.25
Dylan J. Foster, Noah Golowich, Yanjun Han
cs.LG
2023/01/19
8
0
9
Differentially Private Online Bayesian Estimation With Adaptive Truncation
Open
https://arxiv.org/abs/2301.08202
1
Sinan Yıldırım
cs.LG
2023/01/19
4
0
5
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications
Open
https://arxiv.org/abs/2301.08193
1.5
Zihao Chen, Hisashi Handa, Kimiaki Shirahama
cs.CL
2023/01/19
6
0
7
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
Open
https://arxiv.org/abs/2301.08190
4.45
K. Darshana Abeyrathna, Ahmed Abdulrahem Othman Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein Anders Tunheim, Xuan Zhang
cs.LG
2023/01/19
10
0
11
Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications
Open
https://arxiv.org/abs/2301.08189v1
2.5
Mihir Durve, Sibilla Orsini, Adriano Tiribocchi, Andrea Montessori, Jean-Michel Tucny, Marco Lauricella, Andrea Camposeo, Dario Pisignano, Sauro Succi
cs.CV
2023/01/19
6
0
7
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
Open
https://arxiv.org/abs/2301.08187
3.25
Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris Holmes, Arnaud Doucet, Matthew Willetts
stat.ML
2023/01/19
9
0
10
Composite model of seismic monitoring data analysis during mining operations on the example of the Kukisvumchorrskoye deposit of JSC Apatit
Open
https://arxiv.org/abs/2301.05701
0.75
Ilia Revin
physics.geo-ph
2023/01/13
3
0
3
Decentralized model-free reinforcement learning in stochastic games with average-reward objective
Open
https://arxiv.org/abs/2301.05630
0.75
Romain Cravic, Nicolas Gast, Bruno Gaujal
cs.LG
2023/01/13
3
0
3
A deep learning approach to using wearable seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow MRI
Open
https://arxiv.org/abs/2301.02130
0.5
Mahmoud E. Khani, Ethan M. I. Johnson, Aparna Sodhi, Joshua Robinson, Cynthia K. Rigsby, Bradly D. Allen, Michael Markl
cs.LG
2023/01/05
2
0
2
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
Open
https://arxiv.org/abs/2212.14284
2
Bingchen Huang, Zhineng Chen, Peng Zhou, Jiayin Chen, Zuxuan Wu
cs.CV
2022/12/29
5
0
6
Efficient Induction of Language Models Via Probabilistic Concept Formation
Open
https://arxiv.org/abs/2212.11937
2
Christopher J. MacLellan, Peter Matsakis, Pat Langley
cs.CL
2022/12/22
8
0
10
SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor Environments
Open
https://arxiv.org/abs/2212.11922v1
2
Evin Pınar Örnek, Aravindhan K Krishnan, Shreekant Gayaka, Cheng-Hao Kuo, Arnie Sen, Nassir Navab, Federico Tombari
cs.CV
2022/12/22
5
0
7
An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations
Open
https://arxiv.org/abs/2212.11892v1
0.25
Abdulaziz Ahmed, Mohammed Al-Maamari, Mohammad Firouz, Dursun Delen
cs.AI
2022/12/22
1
0
1
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks
Open
http://dx.doi.org/10.1109/cns56114.2022.9947274
0.5
Sagduyu, Yalin E.
cs.GT
2022/12/21
2
0
2
One-shot domain adaptation in video-based assessment of surgical skills
Open
https://arxiv.org/abs/2301.00812v2
1.25
Erim Yanik, Steven Schwaitzberg, Gene Yang, Xavier Intes, Suvranu De
cs.CV
2022/12/16
2
0
2
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time
Open
https://arxiv.org/abs/2212.08058v1
1.75
Elena Burceanu, Marius Leordeanu
cs.CV
2022/12/15
4
0
5
InferEM: Inferring the Speaker's Intention for Empathetic Dialogue Generation
Open
https://arxiv.org/abs/2212.06373
2
Guoqing Lv, Xiaoping Wang, Jiang Li, Zhigang Zeng
cs.CL
2022/12/13
8
0
9
Adversarial Weight Perturbation Improves Generalization in Graph Neural Network
Open
https://arxiv.org/abs/2212.04983
0.75
Yihan Wu, Aleksandar Bojchevski, Heng Huang
cs.LG
2022/12/09
3
0
3
SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction
Open
https://arxiv.org/abs/2212.00792
20.300000000000004
Zhizhuo Zhou, Shubham Tulsiani
cs.CV
2022/12/01
33
0
33
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
Open
https://arxiv.org/abs/2212.00774
75.2
Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, Greg Shakhnarovich
cs.CV
2022/12/01
111
0
115
Adaptive Stochastic Optimisation of Nonconvex Composite Objectives
Open
https://arxiv.org/abs/2211.11710
0.75
Weijia Shao, Fikret Sivrikaya, Sahin Albayrak
math.OC
2022/11/21
3
0
7
Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions
Open
https://arxiv.org/abs/2211.09781
1
Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio
stat.ML
2022/11/17
4
0
6
Cheeger Inequalities for Directed Graphs and Hypergraphs Using Reweighted Eigenvalues
Open
https://arxiv.org/abs/2211.09776
1
Lap Chi Lau, Kam Chuen Tung, Robert Wang
cs.DS
2022/11/17
4
0
6
Token Turing Machines
Open
https://arxiv.org/abs/2211.09119
18.950000000000003
Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab
cs.LG
2022/11/16
34
0
34
Testing geometric representation hypotheses from simulated place cell recordings
Open
https://arxiv.org/abs/2211.09096
0.75
Thibault Niederhauser, Adam Lester, Nina Miolane, Khanh Dao Duc, Manu S. Madhav
q-bio.NC
2022/11/16
3
0
3
Molecular Fingerprints for Robust and Efficient ML-Driven Molecular Generation
Open
https://arxiv.org/abs/2211.09086
1
Ruslan N. Tazhigulov, Joshua Schiller, Jacob Oppenheim, Max Winston
cs.LG
2022/11/16
4
0
4
Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference
Open
https://arxiv.org/pdf/2211.03747.pdf
7.83
Bingjie Wang, Joel Leja, Ashley Villar, Joshua S. Speagle
astro-ph.IM
2022/11/07
3
0
4
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency
Open
https://arxiv.org/abs/2211.02006v1
2
Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He
cs.CV
2022/11/03
5
0
6
Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing
Open
https://arxiv.org/abs/2211.01969
2.25
Aditay Tripathi, Anand Mishra, Anirban Chakraborty
cs.CV
2022/11/03
6
0
7
Sybil-Proof Diffusion Auction in Social Networks
Open
https://arxiv.org/abs/2211.01984
0.5
Hongyin Chen, Xiaotie Deng, Ying Wang, Yue Wu, Dengji Zhao
cs.GT
2022/11/03
2
0
3
Leveraging Fully Observable Policies for Learning under Partial...
Open
https://arxiv.org/abs/2211.01991
0.75
Hai Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt
cs.RO
2022/11/03
3
0
4
Probing Statistical Representations For End-To-End ASR
Open
https://arxiv.org/abs/2211.01993
1.25
Anna Ollerenshaw, Md Asif Jalal, Thomas Hain
cs.CL
2022/11/03
5
0
6
lilGym: Natural Language Visual Reasoning with Reinforcement Learning
Open
https://arxiv.org/abs/2211.01994
1
Anne Wu, Kianté Brantley, Noriyuki Kojima, Yoav Artzi
cs.LG
2022/11/03
4
0
6
Quantifying Model Uncertainty for Semantic Segmentation using...
Open
https://arxiv.org/abs/2211.01999v1
1.75
Rishabh Singh, Jose C. Principe
cs.CV
2022/11/03
4
0
4
Dynamic Kernels and Channel Attention with Multi-Layer Embedding...
Open
https://arxiv.org/abs/2211.02000
0.75
Anna Ollerenshaw, Md Asif Jalal, Thomas Hain
cs.SD
2022/11/03
3
0
5
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model
Open
https://arxiv.org/abs/2211.02001
16.299999999999997
Alexandra Sasha Luccioni, Sylvain Viguier, Anne-Laure Ligozat
cs.LG
2022/11/03
27
0
30
Single SMPC Invocation DPHelmet: Differentially Private...
Open
https://arxiv.org/abs/2211.02003
1
Moritz Kirschte, Sebastian Meiser, Saman Ardalan, Esfandiar Mohammadi
cs.CR
2022/11/03
4
0
4
SAP-DETR: Bridging the Gap Between Salient Points and...
Open
https://arxiv.org/abs/2211.02006v1
1.5
Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He
cs.CV
2022/11/03
3
0
3
Inverse scaling can become U-shaped
Open
https://arxiv.org/abs/2211.02011
10.55
Jason Wei, Yi Tay, Quoc V. Le
cs.CL
2022/11/03
24
0
29
Oracle Inequalities for Model Selection in Offline Reinforcement Learning
Open
https://arxiv.org/abs/2211.02016
1
Jonathan N. Lee, George Tucker, Ofir Nachum, Bo Dai, Emma Brunskill
cs.LG
2022/11/03
4
0
4
Could Giant Pretrained Image Models Extract Universal Representations?
Open
https://arxiv.org/abs/2211.02043
8.95
Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao
cs.CV
2022/11/03
17
0
17
Efficient Spatially Sparse Inference for Conditional GANs and...
Open
https://arxiv.org/abs/2211.02048
16.5
Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
cs.CV
2022/11/03
30
0
32
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