Data Association Aware POMDP Planning with Hypothesis Pruning
Performance Guarantees
https://arxiv.org/abs/2303.02139v1Moran Barenboim, Idan Lev-Yehudi, Vadim Indelman
cs.AI
GraphSR: A Data Augmentation Algorithm for Imbalanced Node
Classification
https://arxiv.org/abs/2302.12814Mengting Zhou, Zhiguo Gong
cs.LG
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking
Datasets
https://arxiv.org/abs/2302.12772v1Yelena Randall, Tali Treibitz
cs.RO
Analyzing the impact of climate change on critical infrastructure from
the scientific literature: A weakly supervised NLP approach
https://arxiv.org/abs/2302.01887Tanwi Mallick, Joshua David Bergerson, Duane R. Verner, John K Hutchison, Leslie-Anne Levy, Prasanna Balaprakash
cs.LG
Booster: a Benchmark for Depth from Images of Specular and Transparent
Surfaces
https://arxiv.org/abs/2301.08245v1Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
cs.CV
Self-Supervised Learning from Images with a Joint-Embedding Predictive
Architecture
https://arxiv.org/abs/2301.08243Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael Rabbat, Yann LeCun, Nicolas Ballas
cs.CV
Efficient Pricing and Hedging of High Dimensional American Options Using
Recurrent Networks
http://dx.doi.org/10.1080/14697688.2023.2167666Andrew Na, Justin Wan
q-fin.MF
Diffusion-based Conditional ECG Generation with Structured State Space
Models
https://arxiv.org/abs/2301.08227Juan Miguel Lopez Alcaraz, Nils Strodthoff
eess.SP
Tight Guarantees for Interactive Decision Making with the
Decision-Estimation Coefficient
https://arxiv.org/abs/2301.08215Dylan J. Foster, Noah Golowich, Yanjun Han
cs.LG
Differentially Private Online Bayesian Estimation With Adaptive
Truncation
https://arxiv.org/abs/2301.08202Sinan Yıldırım
cs.LG
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its
Applications
https://arxiv.org/abs/2301.08193Zihao Chen, Hisashi Handa, Kimiaki Shirahama
cs.CL
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause
Size
https://arxiv.org/abs/2301.08190K. 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
Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking
applications
https://arxiv.org/abs/2301.08189v1Mihir Durve, Sibilla Orsini, Adriano Tiribocchi, Andrea Montessori, Jean-Michel Tucny, Marco Lauricella, Andrea Camposeo, Dario Pisignano, Sauro Succi
cs.CV
A Multi-Resolution Framework for U-Nets with Applications to
Hierarchical VAEs
https://arxiv.org/abs/2301.08187Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris Holmes, Arnaud Doucet, Matthew Willetts
stat.ML
Composite model of seismic monitoring data analysis during mining
operations on the example of the Kukisvumchorrskoye deposit of JSC Apatit
https://arxiv.org/abs/2301.05701Ilia Revin
physics.geo-ph
Decentralized model-free reinforcement learning in stochastic games with
average-reward objective
https://arxiv.org/abs/2301.05630Romain Cravic, Nicolas Gast, Bruno Gaujal
cs.LG
A deep learning approach to using wearable seismocardiography (SCG) for
diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained
by 4D flow MRI
https://arxiv.org/abs/2301.02130Mahmoud E. Khani, Ethan M. I. Johnson, Aparna Sodhi, Joshua Robinson, Cynthia K. Rigsby, Bradly D. Allen, Michael Markl
cs.LG
Resolving Task Confusion in Dynamic Expansion Architectures for Class
Incremental Learning
https://arxiv.org/abs/2212.14284Bingchen Huang, Zhineng Chen, Peng Zhou, Jiayin Chen, Zuxuan Wu
cs.CV
Efficient Induction of Language Models Via Probabilistic Concept
Formation
https://arxiv.org/abs/2212.11937Christopher J. MacLellan, Peter Matsakis, Pat Langley
cs.CL
SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor
Environments
https://arxiv.org/abs/2212.11922v1Evin Pınar Örnek, Aravindhan K Krishnan, Shreekant Gayaka, Cheng-Hao Kuo, Arnie Sen, Nassir Navab, Federico Tombari
cs.CV
An Adaptive Simulated Annealing-Based Machine Learning Approach for
Developing an E-Triage Tool for Hospital Emergency Operations
https://arxiv.org/abs/2212.11892v1Abdulaziz Ahmed, Mohammed Al-Maamari, Mohammad Firouz, Dursun Delen
cs.AI
Free-Rider Games for Federated Learning with Selfish Clients in NextG
Wireless Networks
http://dx.doi.org/10.1109/cns56114.2022.9947274Sagduyu, Yalin E.
cs.GT
One-shot domain adaptation in video-based assessment of surgical skills
https://arxiv.org/abs/2301.00812v2Erim Yanik, Steven Schwaitzberg, Gene Yang, Xavier Intes, Suvranu De
cs.CV
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking
over Space and Time
https://arxiv.org/abs/2212.08058v1Elena Burceanu, Marius Leordeanu
cs.CV
InferEM: Inferring the Speaker's Intention for Empathetic Dialogue
Generation
https://arxiv.org/abs/2212.06373Guoqing Lv, Xiaoping Wang, Jiang Li, Zhigang Zeng
cs.CL
Adversarial Weight Perturbation Improves Generalization in Graph Neural
Network
https://arxiv.org/abs/2212.04983Yihan Wu, Aleksandar Bojchevski, Heng Huang
cs.LG
SparseFusion: Distilling View-conditioned Diffusion for 3D
Reconstruction
https://arxiv.org/abs/2212.00792Zhizhuo Zhou, Shubham Tulsiani
cs.CV
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D
Generation
https://arxiv.org/abs/2212.00774Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, Greg Shakhnarovich
cs.CV
Adaptive Stochastic Optimisation of Nonconvex Composite Objectives
https://arxiv.org/abs/2211.11710Weijia Shao, Fikret Sivrikaya, Sahin Albayrak
math.OC
Monitoring machine learning (ML)-based risk prediction algorithms in the
presence of confounding medical interventions
https://arxiv.org/abs/2211.09781Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio
stat.ML
Cheeger Inequalities for Directed Graphs and Hypergraphs Using
Reweighted Eigenvalues
https://arxiv.org/abs/2211.09776Lap Chi Lau, Kam Chuen Tung, Robert Wang
cs.DS
https://arxiv.org/abs/2211.09119Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab
cs.LG
Testing geometric representation hypotheses from simulated place cell
recordings
https://arxiv.org/abs/2211.09096Thibault Niederhauser, Adam Lester, Nina Miolane, Khanh Dao Duc, Manu S. Madhav
q-bio.NC
Molecular Fingerprints for Robust and Efficient ML-Driven Molecular
Generation
https://arxiv.org/abs/2211.09086Ruslan N. Tazhigulov, Joshua Schiller, Jacob Oppenheim, Max Winston
cs.LG
Monte Carlo Techniques for Addressing Large Errors and Missing Data in
Simulation-based Inference
https://arxiv.org/pdf/2211.03747.pdfBingjie Wang, Joel Leja, Ashley Villar, Joshua S. Speagle
astro-ph.IM
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based
Transformer Detector for Fast Model Convergency
https://arxiv.org/abs/2211.02006v1Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He
cs.CV
Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing
https://arxiv.org/abs/2211.01969Aditay Tripathi, Anand Mishra, Anirban Chakraborty
cs.CV
Sybil-Proof Diffusion Auction in Social Networks
https://arxiv.org/abs/2211.01984Hongyin Chen, Xiaotie Deng, Ying Wang, Yue Wu, Dengji Zhao
cs.GT
Leveraging Fully Observable Policies for Learning under Partial...
https://arxiv.org/abs/2211.01991Hai Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt
cs.RO
Probing Statistical Representations For End-To-End ASR
https://arxiv.org/abs/2211.01993Anna Ollerenshaw, Md Asif Jalal, Thomas Hain
cs.CL
lilGym: Natural Language Visual Reasoning with Reinforcement Learning
https://arxiv.org/abs/2211.01994Anne Wu, Kianté Brantley, Noriyuki Kojima, Yoav Artzi
cs.LG
Quantifying Model Uncertainty for Semantic Segmentation using...
https://arxiv.org/abs/2211.01999v1Rishabh Singh, Jose C. Principe
cs.CV
Dynamic Kernels and Channel Attention with Multi-Layer Embedding...
https://arxiv.org/abs/2211.02000Anna Ollerenshaw, Md Asif Jalal, Thomas Hain
cs.SD
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model
https://arxiv.org/abs/2211.02001Alexandra Sasha Luccioni, Sylvain Viguier, Anne-Laure Ligozat
cs.LG
Single SMPC Invocation DPHelmet: Differentially Private...
https://arxiv.org/abs/2211.02003Moritz Kirschte, Sebastian Meiser, Saman Ardalan, Esfandiar Mohammadi
cs.CR
SAP-DETR: Bridging the Gap Between Salient Points and...
https://arxiv.org/abs/2211.02006v1Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He
cs.CV
Inverse scaling can become U-shaped
https://arxiv.org/abs/2211.02011Jason Wei, Yi Tay, Quoc V. Le
cs.CL
Oracle Inequalities for Model Selection in Offline Reinforcement Learning
https://arxiv.org/abs/2211.02016Jonathan N. Lee, George Tucker, Ofir Nachum, Bo Dai, Emma Brunskill
cs.LG
Could Giant Pretrained Image Models Extract Universal Representations?
https://arxiv.org/abs/2211.02043Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao
cs.CV
Efficient Spatially Sparse Inference for Conditional GANs and...
https://arxiv.org/abs/2211.02048Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
cs.CV