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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22,441 to 22,500 of 33,200

On the Robustness of Interpretability Methods
David Alvarez-Melis, Tommi S. Jaakkola
cs.LGstat.MLarXiv:1806.08049v12018
Squeeze-Release: Iterative Pruning with Exact Structural Minimization
Roman Denkin, Ida Akerholm, Prashant Singh +1
cs.LGcs.AIarXiv:2606.14346v12026
Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
Katie Matton, Robert Osazuwa Ness, John Guttag +1
cs.CLcs.AIcs.LGarXiv:2504.14150v22025
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri +3
cs.LGcs.DCmath.OCarXiv:1910.06378v42019
When Does Label Smoothing Help?
Rafael Müller, Simon Kornblith, Geoffrey Hinton
cs.LGstat.MLarXiv:1906.02629v32019
AlphaFold Meets Flow Matching for Generating Protein Ensembles
Bowen Jing, Bonnie Berger, Tommi Jaakkola
q-bio.BMcs.LGarXiv:2402.04845v22024
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
Jan Matas, Stephen James, Andrew J. Davison
cs.ROcs.AIcs.LGarXiv:1806.07851v22018
Implicit Generation and Generalization in Energy-Based Models
Yilun Du, Igor Mordatch
cs.LGcs.CVstat.MLarXiv:1903.08689v62019
Disentangled 3D Scene Generation with Layout Learning
Dave Epstein, Ben Poole, Ben Mildenhall +2
cs.CVcs.LGarXiv:2402.16936v12024
Adapting Neural Networks for the Estimation of Treatment Effects
Claudia Shi, David M. Blei, Victor Veitch
stat.MLcs.LGstat.MEarXiv:1906.02120v22019
SAL: Sign Agnostic Learning of Shapes from Raw Data
Matan Atzmon, Yaron Lipman
cs.CVcs.GRcs.LGarXiv:1911.10414v22019
Solving the Elastic Wave Equation with Physics-Informed Neural Networks: A Robust and Critical Assessment
Davide Staub, Ben Moseley
cs.LGarXiv:2609.07983v12026
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles, Sven Gowal, Florian Stimberg +4
cs.LGcs.CVarXiv:2110.11328v22021
DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning
Vassilios Tsounis, Mitja Alge, Joonho Lee +2
cs.ROcs.LGarXiv:1909.08399v22019
Iterative Grasp Pose Refinement: A Deep Reinforcement Learning Approach for 2D Vision
Amir Arsalan Nematollahi, Shayan Ahmadi, Mehdi Tale Masouleh +1
cs.ROcs.AIcs.LGarXiv:2608.17628v12026
The Signs Were Always There: Training-Free Concept Detection and Steering in Raw Transformer Dimensions
Varun Reddy Nalagatla
cs.LGcs.AIarXiv:2606.12629v32026
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Yaniv Ovadia, Emily Fertig, Jie Ren +6
stat.MLcs.LGarXiv:1906.02530v22019
KV Cache Compression Through the Lens of Transform Coding
Hannah Laus, Claudio Mayrink Verdun, Hao Wang +2
cs.LGcs.CLeess.SParXiv:2608.14191v12026
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
Jiajun Wu, Steve Drew, Fan Dong +2
cs.LGcs.DCarXiv:2302.02573v22023
DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
Shenyuan Gao, William Liang, Kaiyuan Zheng +27
cs.ROcs.AIcs.CVarXiv:2602.06949v12026
GeoNest: Learning to Select Failure-Aware Neighborhoods for the Irregular Knapsack Problem in a Circular Container
Zhongman Du, Huiming Zhang, Linlin Yang +2
cs.LGcs.AIarXiv:2609.38863v12026
Uncovering Cross-Objective Interference in Multi-Objective Alignment
Yining Lu, Meng Jiang
cs.CLcs.LGarXiv:2602.06869v22026
Solving In-Table Prediction Problems by Deep Neural Networks with Performance Evaluation Using Synthetic Data
Xiao Zhao, Daniela Oelke
cs.LGarXiv:2609.01262v12026
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
Xin Wang, Yu Zheng, Zhongwei Wan +1
cs.CLcs.LGarXiv:2403.07378v52024
A Walk with SGD
Chen Xing, Devansh Arpit, Christos Tsirigotis +1
stat.MLcs.LGarXiv:1802.08770v42018
Max-Pooling Dropout for Regularization of Convolutional Neural Networks
Haibing Wu, Xiaodong Gu
cs.LGcs.CVcs.NEarXiv:1512.01400v12015
Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods
Nicolas Loizou, Peter Richtárik
math.OCcs.LGmath.NAarXiv:1712.09677v22017
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar +4
cs.LGstat.MLarXiv:1801.04062v52018
Personalized Transfer of User Preferences for Cross-domain Recommendation
Yongchun Zhu, Zhenwei Tang, Yudan Liu +5
cs.IRcs.LGarXiv:2110.11154v32021
Latent Hierarchical Causal Structure Discovery with Rank Constraints
Biwei Huang, Charles Jia Han Low, Feng Xie +2
cs.LGcs.AIarXiv:2210.01798v12022
Field-level prediction of mid-plane stress tensor fields in concrete target penetration: a cross-velocity graph neural operator surrogate
Wenpu Du, Peng Zhou, Yunlong Xia +5
cs.LGarXiv:2609.10032v12026
Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers
Liangyu Wang, Siqi Zhang, Junjie Wang +7
cs.DCcs.LGarXiv:2602.06079v12026
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Han Xu, Yao Ma, Haochen Liu +4
cs.LGcs.CRstat.MLarXiv:1909.08072v22019
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
Boyi Wei, Kaixuan Huang, Yangsibo Huang +6
cs.LGcs.AIcs.CLarXiv:2402.05162v42024
The Hidden Ratio in Adam: Stable Structure, Compression, and Sign Dynamics
Yihe Zhou, Tongtian Zhu, Yingxiao Huo +4
cs.LGcs.AIarXiv:2609.35392v12026
Few-Shot Preference Learning for Human-in-the-Loop RL
Joey Hejna, Dorsa Sadigh
cs.ROcs.AIcs.LGarXiv:2212.03363v12022
Concentration of tempered posteriors and of their variational approximations
Pierre Alquier, James Ridgway
math.STcs.LGstat.THarXiv:1706.09293v32017
Bridging KV-Cache Quantization and Linear Attention: From Theory to Pretrained Weight Migration
Kaicheng Xiao, Liran Dong, Haotian Li +1
cs.LGcs.CLarXiv:2610.11214v12026
On Randomness in Agentic Evals
Bjarni Haukur Bjarnason, André Silva, Martin Monperrus
cs.LGcs.AIcs.SEarXiv:2602.07150v32026
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
Yixuan Even Xu, Yash Savani, Fei Fang +1
cs.LGcs.AIcs.CLarXiv:2504.13818v52025
Fidelity-based Probabilistic Q-learning for Control of Quantum Systems
Chunlin Chen, Daoyi Dong, Han-Xiong Li +2
cs.LGcs.SYeess.SYarXiv:1806.03145v12018
Triple Generative Adversarial Nets
Chongxuan Li, Kun Xu, Jun Zhu +1
cs.LGcs.CVarXiv:1703.02291v42017
Deep Reinforcement Learning for Trading
Zihao Zhang, Stefan Zohren, Stephen Roberts
q-fin.CPcs.LGq-fin.TRarXiv:1911.10107v12019
Unsupervised Meta-Learning For Few-Shot Image Classification
Siavash Khodadadeh, Ladislau Bölöni, Mubarak Shah
cs.CVcs.LGarXiv:1811.11819v22018
ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation
Junying Chen, Zhenyang Cai, Pengcheng Chen +5
cs.CVcs.AIcs.LGarXiv:2506.18095v12025
Reliability-aware Cross-sample Enhancement for Robust Multimodal Sentiment Analysis
Menghua Jiang, Haokai Gao, Xiangui Kang +2
cs.LGarXiv:2609.30470v12026
Latent-Aligned Reasoning for Multimodal Recommendation
Jiarui Jin, Anyang Ji
cs.IRcs.CLcs.CVarXiv:2609.04645v12026
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
Denis Gudovskiy, Shun Ishizaka, Kazuki Kozuka
cs.CVcs.AIcs.LGarXiv:2107.12571v12021
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
Devansh Arpit, Huan Wang, Yingbo Zhou +1
cs.LGcs.CVarXiv:2110.10832v42021
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective
Apratim Bhattacharyya, Bernt Schiele, Mario Fritz
cs.LGcs.CVstat.MLarXiv:1806.07772v22018
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Zhichao Lu, Kalyanmoy Deb, Erik Goodman +2
cs.CVcs.LGcs.NEarXiv:2007.10396v12020
Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding
Zachary Ankner, Rishab Parthasarathy, Aniruddha Nrusimha +3
cs.LGarXiv:2402.05109v22024
Residual Unfairness in Fair Machine Learning from Prejudiced Data
Nathan Kallus, Angela Zhou
stat.MLcs.LGarXiv:1806.02887v12018
Beyond Accuracy: Prefix-Invariant Realizations of Low-Precision Fast Matrix Multiplication
Shuxiao Xie, Shuyang Xie, Yuan Cao +3
cs.LGarXiv:2609.39816v12026
Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior
Gabriel B Margolis, Pulkit Agrawal
cs.ROcs.AIcs.LGarXiv:2212.03238v12022
OpenMAG: A Comprehensive Benchmark for Multimodal-Attributed Graph
Chenxi Wan, Xunkai Li, Yilong Zuo +6
cs.LGarXiv:2602.05576v12026
Memory-based control with recurrent neural networks
Nicolas Heess, Jonathan J Hunt, Timothy P Lillicrap +1
cs.LGarXiv:1512.04455v12015
Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control
Alireza Rezazadeh, Zichao Li, Ange Lou +3
cs.MAcs.AIcs.CLarXiv:2505.18279v12025
A Bird's-Eye View of Iterative Reward Design
Logan Mondal Bhamidipaty, Lauren Robson, Linda Petrini +2
cs.LGcs.AIcs.ROarXiv:2610.04364v12026
Minimal Witness Reinforcement Learning
T. Y. Tsui, Zihao Ye, Pengxiang Cai +3
cs.LGcs.AIcs.CLarXiv:2610.07226v12026

Machine Learning

On the Robustness of Interpretability Methods

Squeeze-Release: Iterative Pruning with Exact Structural Minimization

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

When Does Label Smoothing Help?

AlphaFold Meets Flow Matching for Generating Protein Ensembles

Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

Implicit Generation and Generalization in Energy-Based Models

Disentangled 3D Scene Generation with Layout Learning

Adapting Neural Networks for the Estimation of Treatment Effects

SAL: Sign Agnostic Learning of Shapes from Raw Data

Solving the Elastic Wave Equation with Physics-Informed Neural Networks: A Robust and Critical Assessment

A Fine-Grained Analysis on Distribution Shift

DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning

Iterative Grasp Pose Refinement: A Deep Reinforcement Learning Approach for 2D Vision

The Signs Were Always There: Training-Free Concept Detection and Steering in Raw Transformer Dimensions

Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

KV Cache Compression Through the Lens of Transform Coding

Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey

DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

GeoNest: Learning to Select Failure-Aware Neighborhoods for the Irregular Knapsack Problem in a Circular Container

Uncovering Cross-Objective Interference in Multi-Objective Alignment

Solving In-Table Prediction Problems by Deep Neural Networks with Performance Evaluation Using Synthetic Data

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

A Walk with SGD

Max-Pooling Dropout for Regularization of Convolutional Neural Networks

Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods

MINE: Mutual Information Neural Estimation

Personalized Transfer of User Preferences for Cross-domain Recommendation

Latent Hierarchical Causal Structure Discovery with Rank Constraints

Field-level prediction of mid-plane stress tensor fields in concrete target penetration: a cross-velocity graph neural operator surrogate

Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers

Adversarial Attacks and Defenses in Images, Graphs and Text: A Review

Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications

The Hidden Ratio in Adam: Stable Structure, Compression, and Sign Dynamics

Few-Shot Preference Learning for Human-in-the-Loop RL

Concentration of tempered posteriors and of their variational approximations

Bridging KV-Cache Quantization and Linear Attention: From Theory to Pretrained Weight Migration

On Randomness in Agentic Evals

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning

Fidelity-based Probabilistic Q-learning for Control of Quantum Systems

Triple Generative Adversarial Nets

Deep Reinforcement Learning for Trading

Unsupervised Meta-Learning For Few-Shot Image Classification

ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation

Reliability-aware Cross-sample Enhancement for Robust Multimodal Sentiment Analysis

Latent-Aligned Reasoning for Multimodal Recommendation

CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows

Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization

Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective

NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding

Residual Unfairness in Fair Machine Learning from Prejudiced Data

Beyond Accuracy: Prefix-Invariant Realizations of Low-Precision Fast Matrix Multiplication

Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior

OpenMAG: A Comprehensive Benchmark for Multimodal-Attributed Graph

Memory-based control with recurrent neural networks

Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control

A Bird's-Eye View of Iterative Reward Design

Minimal Witness Reinforcement Learning