Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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15,781 to 15,840 of 20,107

COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images
Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani +3
cs.CVcs.LGeess.IVarXiv:2004.02696v22020
The UEA multivariate time series classification archive, 2018
Anthony Bagnall, Hoang Anh Dau, Jason Lines +5
cs.LGstat.MLarXiv:1811.00075v12018
Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval
Fang Zhao, Yongzhen Huang, Liang Wang +1
cs.CVcs.LGarXiv:1501.06272v22015
Sequential operator learning under dependent data
Rafael Oliveira
stat.MLcs.LGarXiv:2608.24426v12026
Movement Pruning: Adaptive Sparsity by Fine-Tuning
Victor Sanh, Thomas Wolf, Alexander M. Rush
cs.CLcs.LGarXiv:2005.07683v22020
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Sagar Vaze, Kai Han, Andrea Vedaldi +1
cs.CVcs.LGarXiv:2110.06207v22021
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal, Levi Melnick, Nicholas Frosst +4
cs.LGcs.AIstat.MLarXiv:2004.13912v22020
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett, Yu Fan Chen, Jonathan P. How
cs.ROcs.AIcs.LGarXiv:1805.01956v12018
Learning to Optimize
Ke Li, Jitendra Malik
cs.LGcs.AImath.OCarXiv:1606.01885v12016
Federated Learning over Wireless Fading Channels
Mohammad Mohammadi Amiri, Deniz Gunduz
cs.ITcs.DCcs.LGarXiv:1907.09769v22019
XP-JEPA: Cross-Predictive Physics Grounding for Forecastable Latent Dynamics
Kehan Wen, Ziming Li, Siyuan Luo +1
cs.LGarXiv:2608.24044v12026
GPT detectors are biased against non-native English writers
Weixin Liang, Mert Yuksekgonul, Yining Mao +2
cs.CLcs.AIcs.HCarXiv:2304.02819v32023
Residual Gated Graph ConvNets
Xavier Bresson, Thomas Laurent
cs.LGstat.MLarXiv:1711.07553v22017
Playing FPS Games with Deep Reinforcement Learning
Guillaume Lample, Devendra Singh Chaplot
cs.AIcs.LGarXiv:1609.05521v22016
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Feng Li, Renrui Zhang, Hao Zhang +5
cs.CVcs.CLcs.LGarXiv:2407.07895v22024
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Sunil Thulasidasan, Gopinath Chennupati, Jeff Bilmes +2
stat.MLcs.LGarXiv:1905.11001v52019
Why do tree-based models still outperform deep learning on tabular data?
Léo Grinsztajn, Edouard Oyallon, Gaël Varoquaux
cs.LGcs.AIstat.MEarXiv:2207.08815v12022
Distral: Robust Multitask Reinforcement Learning
Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki +5
cs.LGstat.MLarXiv:1707.04175v12017
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz +1
cs.NEcs.AIcs.LGarXiv:1603.06212v12016
Improving Cross-Problem Vehicle Routing with Locally Augmented Preferences and Representation Disentanglement
Arthur Corrêa, Paulo Nascimento, Samuel Moniz
cs.LGarXiv:2608.24859v12026
Where Entropy Is Measured Matters: Policy Geometry in Bounded Continuous-Control PPO
Yiyang He, Zhichun Zhou, Ziwei Wang +2
cs.LGarXiv:2608.24488v12026
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem
Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf
cs.LGcs.CVstat.MLarXiv:1812.05720v22018
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
Jay Shah, Ganesh Bikshandi, Ying Zhang +3
cs.LGcs.AIarXiv:2407.08608v22024
ZeRO-Offload: Democratizing Billion-Scale Model Training
Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi +5
cs.DCcs.LGarXiv:2101.06840v12021
Memory Is Not Always Needed: Characterizing Conditional Memory in Scientific Reasoning
Zhen Bi, Xueshu Chen, Yan Wang +6
cs.AIcs.CLcs.LGarXiv:2608.23982v12026
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey
Ammar Haydari, Yasin Yilmaz
cs.LGcs.MAeess.SParXiv:2005.00935v12020
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Ruize Wang, Duyu Tang, Nan Duan +6
cs.CLcs.LGarXiv:2002.01808v52020
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Boyuan Chen, Diego Marti Monso, Yilun Du +3
cs.LGcs.CVcs.ROarXiv:2407.01392v42024
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
Yevgen Chebotar, Ankur Handa, Viktor Makoviychuk +4
cs.ROcs.LGarXiv:1810.05687v42018
A Hybrid Two-Stage Machine Learning Pipeline for Fault Detection and Classification in Power Transmission Systems
Sahil Manikshete, Atharva Gujarathi, Thanh Long Vu +2
eess.SYcs.LGarXiv:2608.23726v12026
Learning to Explore using Active Neural SLAM
Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta +2
cs.CVcs.AIcs.LGarXiv:2004.05155v12020
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein +38
eess.IVcs.CVcs.LGarXiv:1912.01054v22019
HDR image reconstruction from a single exposure using deep CNNs
Gabriel Eilertsen, Joel Kronander, Gyorgy Denes +2
cs.CVcs.GRcs.LGarXiv:1710.07480v12017
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner
cs.CVcs.CLcs.LGarXiv:1912.08830v32019
What is being transferred in transfer learning?
Behnam Neyshabur, Hanie Sedghi, Chiyuan Zhang
cs.LGstat.MLarXiv:2008.11687v22020
Role-Play with Large Language Models
Murray Shanahan, Kyle McDonell, Laria Reynolds
cs.CLcs.AIcs.LGarXiv:2305.16367v12023
Matrix Completion has No Spurious Local Minimum
Rong Ge, Jason D. Lee, Tengyu Ma
cs.LGcs.DSstat.MLarXiv:1605.07272v42016
ResNet strikes back: An improved training procedure in timm
Ross Wightman, Hugo Touvron, Hervé Jégou
cs.CVcs.LGarXiv:2110.00476v12021
Understanding image representations by measuring their equivariance and equivalence
Karel Lenc, Andrea Vedaldi
cs.CVcs.LGcs.NEarXiv:1411.5908v22014
Regularisation of Neural Networks by Enforcing Lipschitz Continuity
Henry Gouk, Eibe Frank, Bernhard Pfahringer +1
stat.MLcs.LGarXiv:1804.04368v32018
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
Tianchang Shen, Jun Gao, Kangxue Yin +2
cs.CVcs.LGarXiv:2111.04276v12021
Deep Learning is Robust to Massive Label Noise
David Rolnick, Andreas Veit, Serge Belongie +1
cs.LGcs.AIcs.CVarXiv:1705.10694v32017
Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking
Dexter Wen Jie Teo, Nairouz Shehata, Herve Lombaert
eess.IVcs.CVcs.LGarXiv:2608.23879v12026
Graph Contrastive Learning Automated
Yuning You, Tianlong Chen, Yang Shen +1
cs.LGarXiv:2106.07594v22021
Contextual Embedding Evidence for Main--Light Verb Distinctions in Urdu
Farah Adeeba, Miriam Butt
cs.CLcs.LGarXiv:2608.23645v12026
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu, Xiao Ma, Jiawei Ren +2
cs.CVcs.LGcs.ROarXiv:2005.08514v22020
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Guang Yang, Qinghao Ye, Jun Xia
cs.AIcs.CVcs.ITarXiv:2102.01998v12021
Large-Scale Chemical Language Representations Capture Molecular Structure and Properties
Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan +3
cs.LGcs.CLq-bio.BMarXiv:2106.09553v32021
Deep Learning for Deepfakes Creation and Detection: A Survey
Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen +6
cs.CVcs.LGeess.IVarXiv:1909.11573v52019
Revealing the Dark Secrets of BERT
Olga Kovaleva, Alexey Romanov, Anna Rogers +1
cs.CLcs.LGstat.MLarXiv:1908.08593v22019
Graph Representation Learning of Lightweight IoT Ciphers
Jonathan Cook, Sabih ur Rehman, M. Arif Khan
cs.LGcs.CRarXiv:2608.23054v12026
Unifying Vision-and-Language Tasks via Text Generation
Jaemin Cho, Jie Lei, Hao Tan +1
cs.CLcs.AIcs.CVarXiv:2102.02779v22021
Scaling Reinforcement Learning for Diffusion Models via Velocity Matching
Jaemoo Choi, Wei Guo, Yuchen Zhu +4
cs.CVcs.LGarXiv:2608.23664v12026
Visual Language Maps for Robot Navigation
Chenguang Huang, Oier Mees, Andy Zeng +1
cs.ROcs.AIcs.CLarXiv:2210.05714v42022
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir, Tong Zhang
cs.LGmath.OCstat.MLarXiv:1212.1824v22012
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Oran Gafni, Adam Polyak, Oron Ashual +3
cs.CVcs.AIcs.CLarXiv:2203.13131v12022
Weakly Supervised Seafloor Segmentation for Seagrass Habitat Mapping in Side-Scan Sonar Imagery
Hayat Rajani, Nuno Gracias, Rafael Garcia
cs.CVcs.LGarXiv:2608.24756v12026
Bandit Submodular Maximization under Matroid Constraints: Learning Compressed Exchange Policy
Zongqi Wan, Zhijie Zhang
cs.LGarXiv:2608.24627v12026
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
Ajay Jain, Matthew Tancik, Pieter Abbeel
cs.CVcs.AIcs.GRarXiv:2104.00677v12021
Algorithms for Learning Kernels Based on Centered Alignment
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
cs.LGcs.AIarXiv:1203.0550v32012

Machine Learning

COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images

The UEA multivariate time series classification archive, 2018

Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval

Sequential operator learning under dependent data

Movement Pruning: Adaptive Sparsity by Fine-Tuning

Open-Set Recognition: a Good Closed-Set Classifier is All You Need?

Neural Additive Models: Interpretable Machine Learning with Neural Nets

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

Learning to Optimize

Federated Learning over Wireless Fading Channels

XP-JEPA: Cross-Predictive Physics Grounding for Forecastable Latent Dynamics

GPT detectors are biased against non-native English writers

Residual Gated Graph ConvNets

Playing FPS Games with Deep Reinforcement Learning

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks

Why do tree-based models still outperform deep learning on tabular data?

Distral: Robust Multitask Reinforcement Learning

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

Improving Cross-Problem Vehicle Routing with Locally Augmented Preferences and Representation Disentanglement

Where Entropy Is Measured Matters: Policy Geometry in Bounded Continuous-Control PPO

Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision

ZeRO-Offload: Democratizing Billion-Scale Model Training

Memory Is Not Always Needed: Characterizing Conditional Memory in Scientific Reasoning

Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience

A Hybrid Two-Stage Machine Learning Pipeline for Fault Detection and Classification in Power Transmission Systems

Learning to Explore using Active Neural SLAM

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

HDR image reconstruction from a single exposure using deep CNNs

ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

What is being transferred in transfer learning?

Role-Play with Large Language Models

Matrix Completion has No Spurious Local Minimum

ResNet strikes back: An improved training procedure in timm

Understanding image representations by measuring their equivariance and equivalence

Regularisation of Neural Networks by Enforcing Lipschitz Continuity

Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis

Deep Learning is Robust to Massive Label Noise

Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking

Graph Contrastive Learning Automated

Contextual Embedding Evidence for Main--Light Verb Distinctions in Urdu

Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction

Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond

Large-Scale Chemical Language Representations Capture Molecular Structure and Properties

Deep Learning for Deepfakes Creation and Detection: A Survey

Revealing the Dark Secrets of BERT

Graph Representation Learning of Lightweight IoT Ciphers

Unifying Vision-and-Language Tasks via Text Generation

Scaling Reinforcement Learning for Diffusion Models via Velocity Matching

Visual Language Maps for Robot Navigation

Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes

Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Weakly Supervised Seafloor Segmentation for Seagrass Habitat Mapping in Side-Scan Sonar Imagery

Bandit Submodular Maximization under Matroid Constraints: Learning Compressed Exchange Policy

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis

Algorithms for Learning Kernels Based on Centered Alignment