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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22,741 to 22,800 of 33,189

Robust Autonomy Emerges from Self-Play
Marco Cusumano-Towner, David Hafner, Alex Hertzberg +9
cs.LGcs.AIcs.ROarXiv:2502.03349v12025
Intelligent Reflecting Surface Aided Wireless Communications: A Tutorial
Qingqing Wu, Shuowen Zhang, Beixiong Zheng +2
cs.ITcs.LGcs.NIarXiv:2007.02759v22020
Deep Generative Stochastic Networks Trainable by Backprop
Yoshua Bengio, Éric Thibodeau-Laufer, Guillaume Alain +1
cs.LGarXiv:1306.1091v52013
Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications
Tae-Hyun Oh, Yu-Wing Tai, Jean-Charles Bazin +2
cs.CVcs.AIcs.LGarXiv:1503.01444v22015
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
Tiago Cortinhal, George Tzelepis, Eren Erdal Aksoy
cs.CVcs.LGarXiv:2003.03653v42020
Delving into Out-of-Distribution Detection with Vision-Language Representations
Yifei Ming, Ziyang Cai, Jiuxiang Gu +3
cs.CVcs.AIcs.LGarXiv:2211.13445v12022
Hybrid Methods for Robust Tabular Data Imputation
Jinwei Li, Michelle Bruch, Daniel Tenbrinck
cs.LGarXiv:2609.39613v12026
Learning qBIC Resonances across Metasurface Families in Dielectric Fourier Space
Shuangteng Lei, Li Yu, Tianxin Li +1
physics.opticscs.LGphysics.comp-pharXiv:2610.11500v12026
An Adversarial Approach for Explainable AI in Intrusion Detection Systems
Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic
cs.LGcs.CRstat.MLarXiv:1811.11705v12018
Benchmarking Reward Hack Detection in Code Environments via Contrastive Analysis
Darshan Deshpande, Anand Kannappan, Rebecca Qian
cs.SEcs.AIcs.LGarXiv:2601.20103v12026
The Variational Gaussian Process
Dustin Tran, Rajesh Ranganath, David M. Blei
stat.MLcs.LGcs.NEarXiv:1511.06499v42015
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert +9
cs.LGstat.MLarXiv:1911.08265v22019
Learning Deep Structured Models
Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille +1
cs.LGarXiv:1407.2538v32014
Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation
Remi Gribonval, Karin Schnass
cs.ITcs.LGarXiv:0904.4774v22009
How to Start Training: The Effect of Initialization and Architecture
Boris Hanin, David Rolnick
stat.MLcs.LGarXiv:1803.01719v32018
Robustness via curvature regularization, and vice versa
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato +1
cs.LGcs.CVstat.MLarXiv:1811.09716v12018
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification
Ziyu Jia, Youfang Lin, Jing Wang +5
eess.SPcs.AIcs.CVarXiv:2109.01824v12021
ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
Qiang Zhang, Boli Chen, Fanrui Zhang +14
cs.LGcs.AIarXiv:2601.06487v32026
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
Xiang Wei, Boqing Gong, Zixia Liu +2
cs.CVcs.LGstat.MLarXiv:1803.01541v12018
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
Khansa Rasheed, Adnan Qayyum, Junaid Qadir +5
cs.LGeess.SPq-bio.NCarXiv:2002.01925v12020
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
Shengsheng Lin, Weiwei Lin, Xinyi Hu +3
cs.LGarXiv:2409.18479v22024
AllMetrics: A Unified Python Library for Standardized Metric Evaluation and Robust Data Validation in Machine Learning
Morteza Alizadeh, Mehrdad Oveisi, Sonya Falahati +6
cs.LGarXiv:2505.15931v12025
Curriculum-Based Adversarial Heterogeneous Agent Reinforcement Learning for Autonomous Quad-Copter Landing in Maritime Settings
Allan Minh-Tam Nguyen, Sree Showrya Kotala, Stefan Banioi-Crijman +2
cs.LGarXiv:2609.12758v12026
SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis
Shahriar Noroozizadeh, Xiaobin Shen, Jeremy C. Weiss +1
cs.LGcs.AIstat.MLarXiv:2603.05483v12026
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi
cs.LGcs.AIcs.MAarXiv:1812.11794v22018
Cheap to Draw, Expensive to Trust: Certifying Test-Time Scaling Curves
Sohail, Sarkar, Shakuntala Baichoo
cs.LGcs.CLmath.STarXiv:2609.40190v12026
Practical Contextual Bandits with Regression Oracles
Dylan J. Foster, Alekh Agarwal, Miroslav Dudík +2
cs.LGstat.MLarXiv:1803.01088v12018
Structure Discovery in Nonparametric Regression through Compositional Kernel Search
David Duvenaud, James Robert Lloyd, Roger Grosse +2
stat.MLcs.LGstat.MEarXiv:1302.4922v42013
(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband, Daniel Russo, Benjamin Van Roy
stat.MLcs.LGarXiv:1306.0940v52013
A Four-Axis Trustworthiness Benchmark for LLM-as-Judge in Principle-Based Regulation
Dipankar Sarkar
cs.CRcs.AIcs.CLarXiv:2608.14329v12026
A Survey on Distributed Machine Learning
Joost Verbraeken, Matthijs Wolting, Jonathan Katzy +3
cs.LGcs.DCstat.MLarXiv:1912.09789v12019
SparseDecoding: Decoding-Aware Pruning for Accurate and Efficient LLM Inference
Qitong Wang, Xinwei Niu, Mingluo Su +3
cs.LGcs.CLarXiv:2610.12327v12026
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Ossama Ahmed, Frederik Träuble, Anirudh Goyal +5
cs.ROcs.LGstat.MLarXiv:2010.04296v22020
CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing
Huu Huy Nguyen, Chien Van Nguyen, Franck Dernoncourt +4
cs.LGcs.CLarXiv:2609.01925v12026
Denser $\neq$ Better: Limits of On-Policy Self-Distillation for Continual Post-Training
Meng Wang, Haohan Zhao, Wenzhuo Liu +7
cs.LGcs.CLarXiv:2607.01763v12026
ReFold: Training-Free Reversible Inter-Turn Context Folding for Long-Horizon Agents
Yupeng Su, Jiayi Tian, Zheng Zhang +1
cs.CLcs.AIcs.LGarXiv:2610.07863v12026
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows
Hamidreza Eivazi, Soledad Le Clainche, Sergio Hoyas +1
physics.flu-dyncs.LGphysics.comp-pharXiv:2109.01514v12021
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations
Upol Ehsan, Brent Harrison, Larry Chan +1
cs.AIcs.CLcs.HCarXiv:1702.07826v22017
The Geometry of Randomized Smoothing on Feasible Sets
Syed Izhan Khilji, Alireza Furutanpey, Schahram Dustdar
cs.LGstat.MLarXiv:2609.39497v12026
Infinite Mixture Prototypes for Few-Shot Learning
Kelsey R. Allen, Evan Shelhamer, Hanul Shin +1
cs.LGstat.MLarXiv:1902.04552v12019
Training Neural Machine Translation To Apply Terminology Constraints
Georgiana Dinu, Prashant Mathur, Marcello Federico +1
cs.CLcs.AIcs.LGarXiv:1906.01105v22019
Adversarial Feature Selection against Evasion Attacks
Fei Zhang, Patrick P. K. Chan, Battista Biggio +2
cs.LGcs.CRstat.MLarXiv:2005.12154v12020
Towards Making the Most of BERT in Neural Machine Translation
Jiacheng Yang, Mingxuan Wang, Hao Zhou +4
cs.CLcs.LGarXiv:1908.05672v52019
M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues
Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra +2
eess.SPcs.CLcs.LGarXiv:1911.05659v22019
Geometry-Aided Channel Deduction with Partial Channel Estimates and Uncalibrated Digital Twin
Hongning Ruan, Zhaoyang Zhang, Zirui Chen +3
eess.SPcs.LGarXiv:2609.37277v12026
Unifying distillation and privileged information
David Lopez-Paz, Léon Bottou, Bernhard Schölkopf +1
stat.MLcs.LGarXiv:1511.03643v32015
Root Mean Square Layer Normalization
Biao Zhang, Rico Sennrich
cs.LGcs.CLstat.MLarXiv:1910.07467v12019
Classical and Hybrid Quantum Machine Learning for Trigger-Like Event Selection on CMS Open Data: An Eight-Qubit, PCA-Constrained Benchmark
Tariq Mahmood, Muhammad Awais Rafique, Talab Hussain +3
hep-phcs.LGhep-exarXiv:2608.26224v12026
DDTCDR: Deep Dual Transfer Cross Domain Recommendation
Pan Li, Alexander Tuzhilin
cs.IRcs.LGarXiv:1910.05189v12019
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel, Jingfei Du, Alexis Conneau +1
cs.CLcs.LGarXiv:2011.01403v32020
Challenges and Research Directions for Large Language Model Inference Hardware
Xiaoyu Ma, David Patterson
cs.ARcs.AIcs.LGarXiv:2601.05047v32026
Deep Learning and Foundation Models for Weather Prediction: A Survey
Jimeng Shi, Azam Shirali, Bowen Jin +10
cs.LGarXiv:2501.06907v12025
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks
Sanghyun Hong, Pietro Frigo, Yiğitcan Kaya +2
cs.CRcs.LGarXiv:1906.01017v12019
A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation
Junyoung Chung, Kyunghyun Cho, Yoshua Bengio
cs.CLcs.LGarXiv:1603.06147v42016
CoCa: Contrastive Captioners are Image-Text Foundation Models
Jiahui Yu, Zirui Wang, Vijay Vasudevan +3
cs.CVcs.LGcs.MMarXiv:2205.01917v22022
Visualizing and Understanding the Effectiveness of BERT
Yaru Hao, Li Dong, Furu Wei +1
cs.CLcs.LGarXiv:1908.05620v12019
EGAMA-RC: Risk-Calibrated Evidence-Gated Adaptive Malware Analysis for Robust and Interpretable Memory-Forensic Triage
Isaac Kofi Nti
cs.CRcs.LGarXiv:2608.22721v12026
S-Chain: Structured Visual Chain-of-Thought For Medicine
Khai Le-Duc, Duy M. H. Nguyen, Phuong T. H. Trinh +21
cs.LGcs.CVarXiv:2510.22728v12025
Aligner: Efficient Alignment by Learning to Correct
Jiaming Ji, Boyuan Chen, Hantao Lou +6
cs.CLcs.AIcs.LGarXiv:2402.02416v52024
Real-World Humanoid Locomotion with Reinforcement Learning
Ilija Radosavovic, Tete Xiao, Bike Zhang +3
cs.ROcs.LGarXiv:2303.03381v22023

Machine Learning

Robust Autonomy Emerges from Self-Play

Intelligent Reflecting Surface Aided Wireless Communications: A Tutorial

Deep Generative Stochastic Networks Trainable by Backprop

Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications

SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

Delving into Out-of-Distribution Detection with Vision-Language Representations

Hybrid Methods for Robust Tabular Data Imputation

Learning qBIC Resonances across Metasurface Families in Dielectric Fourier Space

An Adversarial Approach for Explainable AI in Intrusion Detection Systems

Benchmarking Reward Hack Detection in Code Environments via Contrastive Analysis

The Variational Gaussian Process

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

Learning Deep Structured Models

Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

How to Start Training: The Effect of Initialization and Architecture

Robustness via curvature regularization, and vice versa

Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification

ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking

Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect

Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review

CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns

AllMetrics: A Unified Python Library for Standardized Metric Evaluation and Robust Data Validation in Machine Learning

Curriculum-Based Adversarial Heterogeneous Agent Reinforcement Learning for Autonomous Quad-Copter Landing in Maritime Settings

SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis

Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

Cheap to Draw, Expensive to Trust: Certifying Test-Time Scaling Curves

Practical Contextual Bandits with Regression Oracles

Structure Discovery in Nonparametric Regression through Compositional Kernel Search

(More) Efficient Reinforcement Learning via Posterior Sampling

A Four-Axis Trustworthiness Benchmark for LLM-as-Judge in Principle-Based Regulation

A Survey on Distributed Machine Learning

SparseDecoding: Decoding-Aware Pruning for Accurate and Efficient LLM Inference

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing

Denser $\neq$ Better: Limits of On-Policy Self-Distillation for Continual Post-Training

ReFold: Training-Free Reversible Inter-Turn Context Folding for Long-Horizon Agents

Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows

Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations

The Geometry of Randomized Smoothing on Feasible Sets

Infinite Mixture Prototypes for Few-Shot Learning

Training Neural Machine Translation To Apply Terminology Constraints

Adversarial Feature Selection against Evasion Attacks

Towards Making the Most of BERT in Neural Machine Translation

M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues

Geometry-Aided Channel Deduction with Partial Channel Estimates and Uncalibrated Digital Twin

Unifying distillation and privileged information

Root Mean Square Layer Normalization

Classical and Hybrid Quantum Machine Learning for Trigger-Like Event Selection on CMS Open Data: An Eight-Qubit, PCA-Constrained Benchmark

DDTCDR: Deep Dual Transfer Cross Domain Recommendation

Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Challenges and Research Directions for Large Language Model Inference Hardware

Deep Learning and Foundation Models for Weather Prediction: A Survey

Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks

A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation

CoCa: Contrastive Captioners are Image-Text Foundation Models

Visualizing and Understanding the Effectiveness of BERT

EGAMA-RC: Risk-Calibrated Evidence-Gated Adaptive Malware Analysis for Robust and Interpretable Memory-Forensic Triage

S-Chain: Structured Visual Chain-of-Thought For Medicine

Aligner: Efficient Alignment by Learning to Correct

Real-World Humanoid Locomotion with Reinforcement Learning