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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22,201 to 22,260 of 33,332

Progressive Transformers for End-to-End Sign Language Production
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
cs.CVcs.CLcs.LGarXiv:2004.14874v22020
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
Gen Li, Yuting Wei, Yuejie Chi +2
cs.LGeess.SPmath.OCarXiv:2006.03041v32020
Position Focused Attention Network for Image-Text Matching
Yaxiong Wang, Hao Yang, Xueming Qian +4
cs.CLcs.IRcs.LGarXiv:1907.09748v12019
Differentiable Learning of Quantum Circuit Born Machine
Jin-Guo Liu, Lei Wang
quant-phcs.LGstat.MLarXiv:1804.04168v12018
No One Size Fits All: QueryBandits for Hallucination Mitigation
Nicole Cho, William Watson, Alec Koppel +2
cs.CLcs.AIcs.LGarXiv:2602.20332v12026
Accounting for Variance in Machine Learning Benchmarks
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi +14
cs.LGstat.MLarXiv:2103.03098v12021
Recurrent Independent Mechanisms
Anirudh Goyal, Alex Lamb, Jordan Hoffmann +4
cs.LGcs.AIstat.MLarXiv:1909.10893v62019
AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation
Rishabh Agrawal, Hejie Cui, Shasha Li +2
cs.AIcs.CLcs.LGarXiv:2609.38142v12026
Mitigating Overthinking in Large Reasoning Models via Manifold Steering
Yao Huang, Huanran Chen, Shouwei Ruan +3
cs.LGcs.AIcs.CLarXiv:2505.22411v22025
Training-Aware Target Coverage for Synthetic Data Selection
Yang Ba, Michelle V. Mancenido, Rong Pan
cs.LGcs.AIarXiv:2610.00814v12026
Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization
Gang Wang, Georgios B. Giannakis, Jie Chen
stat.MLcs.ITcs.LGarXiv:1808.04685v22018
Selective Posterior Margin Regularization for Forward-Corrected Classification
Zexing Zhang, Jichao Li, Tianyang Lei +2
cs.LGcs.CVstat.MLarXiv:2609.05859v12026
TTHE: Test-Time Harness Evolution
Jun Nie, Yonggang Zhang, Jun Song +5
cs.SEcs.LGarXiv:2607.08124v12026
Structured World Models from Human Videos
Russell Mendonca, Shikhar Bahl, Deepak Pathak
cs.ROcs.AIcs.CVarXiv:2308.10901v12023
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli, Matthew Hoffman, Peter Sadowski +1
cs.NEcs.CVcs.LGarXiv:1412.6830v32014
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
Jiezhong Qiu, Qibin Chen, Yuxiao Dong +5
cs.LGcs.SIstat.MLarXiv:2006.09963v32020
GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning
Chengqi Duan, Rongyao Fang, Yuqing Wang +5
cs.CVcs.AIcs.CLarXiv:2505.17022v22025
LabBook: Harnessing Experimental History for Efficient LLM-Driven Discovery
Bo Yuan, Wenqian Ye, Zelin Zhao +4
cs.LGcs.AIarXiv:2610.00675v12026
This Time with Feeling: Learning Expressive Musical Performance
Sageev Oore, Ian Simon, Sander Dieleman +2
cs.SDcs.LGeess.ASarXiv:1808.03715v12018
A Kernel Theory of Modern Data Augmentation
Tri Dao, Albert Gu, Alexander J. Ratner +3
cs.LGstat.MLarXiv:1803.06084v22018
Direct-Manipulation Visualization of Deep Networks
Daniel Smilkov, Shan Carter, D. Sculley +2
cs.LGcs.HCstat.MLarXiv:1708.03788v12017
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection
Nir Shlezinger, Rong Fu, Yonina C. Eldar
eess.SPcs.ITcs.LGarXiv:2002.03214v22020
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Marius Lindauer, Katharina Eggensperger, Matthias Feurer +6
cs.LGstat.MLarXiv:2109.09831v22021
Boosting Data Augmentation with Stochastic Weight Averaging
Longde Huang, Axel Flinth, Jan E. Gerken
cs.LGarXiv:2608.14373v12026
Mean estimation and regression under heavy-tailed distributions--a survey
Gabor Lugosi, Shahar Mendelson
math.STcs.LGstat.MLarXiv:1906.04280v12019
Spectral Rewiring for Exploration, Purification, and Model Merging
Zhilong Zhang, Hongli Yu, Huan-ang Gao +5
cs.LGcs.AIarXiv:2607.03065v12026
Scaling Laws for Downstream Task Performance of Large Language Models
Berivan Isik, Natalia Ponomareva, Hussein Hazimeh +3
cs.CLcs.LGstat.MLarXiv:2402.04177v32024
Compositional Exemplars for In-context Learning
Jiacheng Ye, Zhiyong Wu, Jiangtao Feng +2
cs.CLcs.AIcs.LGarXiv:2302.05698v32023
SAFEGuard: Detect Optimization-Based Jailbreak Attacks Through Harmful Semantic Analysis and Fluency Measurement
Quoc Viet Vo, Trung Le, Damith C. Ranasinghe +1
cs.LGcs.AIcs.CRarXiv:2609.05850v12026
Convergence of score-based generative modeling for general data distributions
Holden Lee, Jianfeng Lu, Yixin Tan
cs.LGmath.PRmath.STarXiv:2209.12381v22022
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
Stephan Rabanser, Stephan Günnemann, Zachary C. Lipton
stat.MLcs.LGarXiv:1810.11953v42018
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Ryuichi Kiryo, Gang Niu, Marthinus C. du Plessis +1
cs.LGstat.MLarXiv:1703.00593v22017
Towards Accurate Binary Convolutional Neural Network
Xiaofan Lin, Cong Zhao, Wei Pan
cs.LGstat.MLarXiv:1711.11294v12017
AdaStep: Adaptive Step Credit Weighting for Agentic Reinforcement Learning
Xin Wang, Wenhao Wu, Menghao Zhang +3
cs.LGcs.CLarXiv:2610.03223v12026
Simple data balancing achieves competitive worst-group-accuracy
Badr Youbi Idrissi, Martin Arjovsky, Mohammad Pezeshki +1
cs.LGcs.AIcs.CRarXiv:2110.14503v22021
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
Stephanie Fu, Mark Hamilton, Laura Brandt +3
cs.CVcs.AIcs.IRarXiv:2403.10516v22024
Thieves on Sesame Street! Model Extraction of BERT-based APIs
Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh +2
cs.CLcs.CRcs.LGarXiv:1910.12366v32019
Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments
Zixing Zhang, Jürgen Geiger, Jouni Pohjalainen +3
cs.SDcs.CLcs.LGarXiv:1705.10874v32017
Attention Interpretability Across NLP Tasks
Shikhar Vashishth, Shyam Upadhyay, Gaurav Singh Tomar +1
cs.CLcs.LGarXiv:1909.11218v12019
Graph Mamba: Towards Learning on Graphs with State Space Models
Ali Behrouz, Farnoosh Hashemi
cs.LGarXiv:2402.08678v22024
On Gradient-Based Learning in Continuous Games
Eric Mazumdar, Lillian J. Ratliff, S. Shankar Sastry
cs.LGstat.MLarXiv:1804.05464v32018
Off-Policy Multi-Agent Decomposed Policy Gradients
Yihan Wang, Beining Han, Tonghan Wang +2
cs.LGcs.MAstat.MLarXiv:2007.12322v22020
Summaries:한국어
SERA: Scale-Equalized Rollout Allocation for Maximum Likelihood Reinforcement Learning
Zihao Chen, Fanxiang Xiong, Hongran Ren +6
cs.LGcs.AIarXiv:2609.36552v12026
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users
Shijun Li, Wenqiang Lei, Qingyun Wu +3
cs.IRcs.LGcs.SIarXiv:2005.12979v52020
Multi-scale Deep Neural Networks for Solving High Dimensional PDEs
Wei Cai, Zhi-Qin John Xu
cs.LGcs.NAmath.NAarXiv:1910.11710v12019
Beyond Correctness: Learning Robust Reasoning via Transfer
Hyunseok Lee, Soheil Abbasloo, Jihoon Tack +1
cs.LGcs.CLarXiv:2602.08489v12026
Practical Quasi-Newton Methods for Training Deep Neural Networks
Donald Goldfarb, Yi Ren, Achraf Bahamou
cs.LGmath.OCstat.MLarXiv:2006.08877v32020
A Gradient Perspective on RLVR Stability and Winner Advantage Policy Optimization
Prasanth YSS, Zhichen Ren, Rasa Hosseinzadeh +6
cs.LGarXiv:2606.16154v12026
Feature Importance Ranking for Deep Learning
Maksymilian Wojtas, Ke Chen
cs.LGcs.AIcs.CVarXiv:2010.08973v12020
Human Uncertainty in Concept-Based AI Systems
Katherine M. Collins, Matthew Barker, Mateo Espinosa Zarlenga +6
cs.HCcs.AIcs.LGarXiv:2303.12872v12023
The Price of Fair PCA: One Extra Dimension
Samira Samadi, Uthaipon Tantipongpipat, Jamie Morgenstern +2
cs.LGstat.MLarXiv:1811.00103v12018
GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
GLM-V Team, :, Wenyi Hong +91
cs.CVcs.AIcs.LGarXiv:2507.01006v62025
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition
Kun Su, Xiulong Liu, Eli Shlizerman
cs.CVcs.LGeess.IVarXiv:1911.12409v12019
Image Augmentations for GAN Training
Zhengli Zhao, Zizhao Zhang, Ting Chen +2
cs.LGcs.CVeess.IVarXiv:2006.02595v12020
Adding vs. Averaging in Distributed Primal-Dual Optimization
Chenxin Ma, Virginia Smith, Martin Jaggi +3
cs.LGarXiv:1502.03508v22015
LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions
Yu Wang, Jiayi Liu, Yuxiang Liu +5
cs.LGcs.AIcs.CLarXiv:1708.05565v22017
A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search
Austin R. Ellis-Mohr, Anuj K. Nayak, Lav R. Varshney
cs.LGcs.AIcs.CYarXiv:2507.00004v22025
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen, Oscar Li, Chaofan Tao +3
cs.LGcs.AIcs.CVarXiv:1806.10574v52018
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Minhao Cheng, Simranjit Singh, Patrick Chen +3
cs.LGstat.MLarXiv:1909.10773v32019
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Mark Boss, Varun Jampani, Raphael Braun +3
cs.CVcs.GRcs.LGarXiv:2110.14373v12021

Machine Learning

Progressive Transformers for End-to-End Sign Language Production

Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction

Position Focused Attention Network for Image-Text Matching

Differentiable Learning of Quantum Circuit Born Machine

No One Size Fits All: QueryBandits for Hallucination Mitigation

Accounting for Variance in Machine Learning Benchmarks

Recurrent Independent Mechanisms

AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation

Mitigating Overthinking in Large Reasoning Models via Manifold Steering

Training-Aware Target Coverage for Synthetic Data Selection

Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization

Selective Posterior Margin Regularization for Forward-Corrected Classification

TTHE: Test-Time Harness Evolution

Structured World Models from Human Videos

Learning Activation Functions to Improve Deep Neural Networks

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning

LabBook: Harnessing Experimental History for Efficient LLM-Driven Discovery

This Time with Feeling: Learning Expressive Musical Performance

A Kernel Theory of Modern Data Augmentation

Direct-Manipulation Visualization of Deep Networks

DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Boosting Data Augmentation with Stochastic Weight Averaging

Mean estimation and regression under heavy-tailed distributions--a survey

Spectral Rewiring for Exploration, Purification, and Model Merging

Scaling Laws for Downstream Task Performance of Large Language Models

Compositional Exemplars for In-context Learning

SAFEGuard: Detect Optimization-Based Jailbreak Attacks Through Harmful Semantic Analysis and Fluency Measurement

Convergence of score-based generative modeling for general data distributions

Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift

Positive-Unlabeled Learning with Non-Negative Risk Estimator

Towards Accurate Binary Convolutional Neural Network

AdaStep: Adaptive Step Credit Weighting for Agentic Reinforcement Learning

Simple data balancing achieves competitive worst-group-accuracy

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

Thieves on Sesame Street! Model Extraction of BERT-based APIs

Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments

Attention Interpretability Across NLP Tasks

Graph Mamba: Towards Learning on Graphs with State Space Models

On Gradient-Based Learning in Continuous Games

Off-Policy Multi-Agent Decomposed Policy Gradients

SERA: Scale-Equalized Rollout Allocation for Maximum Likelihood Reinforcement Learning

Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users

Multi-scale Deep Neural Networks for Solving High Dimensional PDEs

Beyond Correctness: Learning Robust Reasoning via Transfer

Practical Quasi-Newton Methods for Training Deep Neural Networks

A Gradient Perspective on RLVR Stability and Winner Advantage Policy Optimization

Feature Importance Ranking for Deep Learning

Human Uncertainty in Concept-Based AI Systems

The Price of Fair PCA: One Extra Dimension

GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition

Image Augmentations for GAN Training

Adding vs. Averaging in Distributed Primal-Dual Optimization

LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search

This Looks Like That: Deep Learning for Interpretable Image Recognition

Sign-OPT: A Query-Efficient Hard-label Adversarial Attack

Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition