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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6,121 to 6,180 of 20,193

SafeArena: Evaluating the Safety of Autonomous Web Agents
Ada Defne Tur, Nicholas Meade, Xing Han Lù +6
cs.LGcs.AIcs.CLarXiv:2503.04957v12025
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
DiJia Su, Hanlin Zhu, Yingchen Xu +3
cs.CLcs.AIcs.LGarXiv:2502.03275v22025
Do RNN and LSTM have Long Memory?
Jingyu Zhao, Feiqing Huang, Jia Lv +4
stat.MLcs.LGarXiv:2006.03860v22020
Natural Backdoor Attacks on Speech Recognition Models
Jinwen Xin, Xixiang Lyu, Jing Ma
cs.CRcs.LGcs.SDarXiv:2607.15724v12026
Generalisation error in learning with random features and the hidden manifold model
Federica Gerace, Bruno Loureiro, Florent Krzakala +2
math.STcs.LGmath.PRarXiv:2002.09339v22020
S*: Test Time Scaling for Code Generation
Dacheng Li, Shiyi Cao, Chengkun Cao +6
cs.LGcs.AIarXiv:2502.14382v12025
BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds
Huayi Wang, Zirui Wang, Junli Ren +4
cs.ROcs.AIcs.LGarXiv:2502.10363v32025
Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret
Alon Cohen, Tomer Koren, Yishay Mansour
cs.LGstat.MLarXiv:1902.06223v22019
Reinforcement Learning for Long-Horizon Interactive LLM Agents
Kevin Chen, Marco Cusumano-Towner, Brody Huval +4
cs.LGcs.AIarXiv:2502.01600v32025
Improved Speech Enhancement with the Wave-U-Net
Craig Macartney, Tillman Weyde
cs.SDcs.LGcs.NEarXiv:1811.11307v12018
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints
Chaoqi Wang, Yibo Jiang, Chenghao Yang +2
cs.LGcs.AIstat.MLarXiv:2309.16240v12023
DK-GBMKKM: Dynamic Kernel-Space Granular-Ball Multiple Kernel $k$-Means Clustering
Xiaoyu Lian, Yuchao Zhang, Shuyin Xia +2
cs.LGarXiv:2609.00647v12026
Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
Vaishnavi Shrivastava, Ahmed Awadallah, Vidhisha Balachandran +3
cs.CLcs.LGarXiv:2508.09726v12025
AgentEvolver: Towards Efficient Self-Evolving Agent System
Yunpeng Zhai, Shuchang Tao, Cheng Chen +10
cs.LGcs.AIcs.CLarXiv:2511.10395v12025
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Nils Lukas, Yuxuan Zhang, Florian Kerschbaum
cs.LGcs.CRstat.MLarXiv:1912.00888v42019
A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao +3
cs.LGcs.CLarXiv:2504.07086v22025
Poisson-Gamma Dynamical Systems with Time-varying Transition Dynamics
Jiahao Wang, Yijun Wang, Nan Fang +1
cs.LGarXiv:2609.00896v12026
Variational Gaussian Process State-Space Models
Roger Frigola, Yutian Chen, Carl E. Rasmussen
cs.LGcs.ROeess.SYarXiv:1406.4905v22014
Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
Han Zhou, Xingchen Wan, Ruoxi Sun +5
cs.LGcs.AIcs.CLarXiv:2502.02533v22025
Verdict Instability of OOD Scores under Reference Resampling
Donghoon Lee, Shinjin Kang
cs.LGstat.MLarXiv:2609.00691v12026
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
Andrew Cotter, Heinrich Jiang, Serena Wang +4
cs.LGcs.AIcs.GTarXiv:1809.04198v12018
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Deepak Nathani, Lovish Madaan, Nicholas Roberts +14
cs.CLcs.AIcs.LGarXiv:2502.14499v12025
Tree Search for LLM Agent Reinforcement Learning
Yuxiang Ji, Ziyu Ma, Yong Wang +3
cs.LGcs.AIarXiv:2509.21240v32025
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
Jianping Zhang, Weibin Wu, Jen-tse Huang +4
cs.LGcs.CRarXiv:2204.00008v12022
The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence
Tom Wollschläger, Jannes Elstner, Simon Geisler +3
cs.LGcs.AIcs.CLarXiv:2502.17420v22025
Memp: Exploring Agent Procedural Memory
Runnan Fang, Yuan Liang, Xiaobin Wang +6
cs.CLcs.AIcs.LGarXiv:2508.06433v42025
Diffusion Beats Autoregressive in Data-Constrained Settings
Mihir Prabhudesai, Mengning Wu, Amir Zadeh +2
cs.LGcs.AIcs.CVarXiv:2507.15857v72025
Explainable $k$-Means and $k$-Medians Clustering
Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz +1
cs.LGcs.CGcs.DSarXiv:2002.12538v22020
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum +3
cs.CLcs.AIcs.LGarXiv:2501.05707v22025
Follow the Leader If You Can, Hedge If You Must
Steven de Rooij, Tim van Erven, Peter D. Grünwald +1
cs.LGstat.MLarXiv:1301.0534v22013
TraveL: Transformer-based Multi-view Path Distributional Representation Learning
Fang He, Tao-yang Fu, Wang-chien Lee
cs.LGcs.AIarXiv:2609.03427v12026
RW-LoRA: Communication-Efficient Decentralized LoRA Fine-Tuning via Random Walks
Xingran Chen, Rohit Bhagat, Ghadir Ayache +3
cs.LGcs.AIarXiv:2609.00078v12026
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes
Guanghui Lan
cs.LGcs.AImath.OCarXiv:2102.00135v62021
Quasar: Datasets for Question Answering by Search and Reading
Bhuwan Dhingra, Kathryn Mazaitis, William W. Cohen
cs.CLcs.IRcs.LGarXiv:1707.03904v22017
Convergent Linear Representations of Emergent Misalignment
Anna Soligo, Edward Turner, Senthooran Rajamanoharan +1
cs.LGcs.AIarXiv:2506.11618v22025
Foundation models for electricity price forecasting and battery arbitrage: Can they replace market-specific forecasting models?
Arkadiusz Lipiecki, Rafał Weron
cs.LGecon.EMarXiv:2609.00089v12026
The PGM-index: a multicriteria, compressed and learned approach to data indexing
Paolo Ferragina, Giorgio Vinciguerra
cs.DScs.DBcs.IRarXiv:1910.06169v12019
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Yueming Lyu, Ivor W. Tsang
cs.LGstat.MLarXiv:1905.10045v32019
Multifunctional Metasurface Design with a Generative Adversarial Network
Sensong An, Bowen Zheng, Hong Tang +7
physics.opticscs.LGarXiv:1908.04851v22019
Flawed in Nature, Perfect through Evolution
J. M. Diederik Kruijssen
cs.LGcs.AIcs.NEarXiv:2609.00129v12026
DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM
Feng Wang, Huichao Gong, Gaochao liu +5
q-bio.QMcs.LGarXiv:1605.01838v12016
Rank1: Test-Time Compute for Reranking in Information Retrieval
Orion Weller, Kathryn Ricci, Eugene Yang +3
cs.IRcs.CLcs.LGarXiv:2502.18418v22025
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data
Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini +2
eess.IVcs.CVcs.LGarXiv:2004.05405v12020
Scalable Vision-Language-Action Model Pretraining for Robotic Manipulation with Real-Life Human Activity Videos
Qixiu Li, Yu Deng, Yaobo Liang +14
cs.ROcs.AIcs.CVarXiv:2510.21571v12025
RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies
Pranav Atreya, Karl Pertsch, Tony Lee +29
cs.ROcs.LGarXiv:2506.18123v22025
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
Kaiwen Zheng, Yuji Wang, Qianli Ma +7
cs.CVcs.LGarXiv:2510.08431v32025
Persona Features Control Emergent Misalignment
Miles Wang, Tom Dupré la Tour, Olivia Watkins +8
cs.LGcs.AIarXiv:2506.19823v22025
A Comprehensive Survey of Dataset Distillation
Shiye Lei, Dacheng Tao
cs.LGarXiv:2301.05603v42023
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms
Yi Liu, Jiangtian Nie, Xuandi Li +3
eess.SPcs.LGarXiv:2007.12004v12020
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen +7
cs.CYcs.AIcs.LGarXiv:2008.07343v42020
Localizing Model Behavior with Path Patching
Nicholas Goldowsky-Dill, Chris MacLeod, Lucas Sato +1
cs.LGarXiv:2304.05969v22023
Reinforcement Learning from Human Feedback
Nathan Lambert
cs.LGarXiv:2504.12501v112025
FLARE: Robot Learning with Implicit World Modeling
Ruijie Zheng, Jing Wang, Scott Reed +18
cs.ROcs.LGarXiv:2505.15659v12025
k-Space Deep Learning for Accelerated MRI
Yoseob Han, Leonard Sunwoo, Jong Chul Ye
cs.CVcs.LGstat.MLarXiv:1805.03779v32018
Muon Optimizes Under Spectral Norm Constraints
Lizhang Chen, Jonathan Li, Qiang Liu
cs.LGmath.OCstat.MLarXiv:2506.15054v22025
Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models
Xiyuan Zhang, Danielle C. Maddix, Junming Yin +11
cs.LGarXiv:2510.21204v12025
Distilled One-Shot Federated Learning
Yanlin Zhou, George Pu, Xiyao Ma +2
cs.LGcs.AIstat.MLarXiv:2009.07999v32020
Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment
Audrey Huang, Adam Block, Qinghua Liu +3
cs.AIcs.LGstat.MLarXiv:2503.21878v22025
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
Qingbiao Li, Weizhe Lin, Zhe Liu +1
cs.ROcs.DCcs.LGarXiv:2011.13219v22020
hLLM: Single Pass Decoding for Generative Reranking
Emil Laftchiev, Prachi Agrawal, Moe Kayali +7
cs.LGcs.AIcs.IRarXiv:2609.01807v12026

Machine Learning

SafeArena: Evaluating the Safety of Autonomous Web Agents

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Do RNN and LSTM have Long Memory?

Natural Backdoor Attacks on Speech Recognition Models

Generalisation error in learning with random features and the hidden manifold model

S*: Test Time Scaling for Code Generation

BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds

Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret

Reinforcement Learning for Long-Horizon Interactive LLM Agents

Improved Speech Enhancement with the Wave-U-Net

Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints

DK-GBMKKM: Dynamic Kernel-Space Granular-Ball Multiple Kernel $k$-Means Clustering

Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning

AgentEvolver: Towards Efficient Self-Evolving Agent System

Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility

Poisson-Gamma Dynamical Systems with Time-varying Transition Dynamics

Variational Gaussian Process State-Space Models

Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies

Verdict Instability of OOD Scores under Reference Resampling

Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals

MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Tree Search for LLM Agent Reinforcement Learning

Improving Adversarial Transferability via Neuron Attribution-Based Attacks

The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence

Memp: Exploring Agent Procedural Memory

Diffusion Beats Autoregressive in Data-Constrained Settings

Explainable $k$-Means and $k$-Medians Clustering

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Follow the Leader If You Can, Hedge If You Must

TraveL: Transformer-based Multi-view Path Distributional Representation Learning

RW-LoRA: Communication-Efficient Decentralized LoRA Fine-Tuning via Random Walks

Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes

Quasar: Datasets for Question Answering by Search and Reading

Convergent Linear Representations of Emergent Misalignment

Foundation models for electricity price forecasting and battery arbitrage: Can they replace market-specific forecasting models?

The PGM-index: a multicriteria, compressed and learned approach to data indexing

Curriculum Loss: Robust Learning and Generalization against Label Corruption

Multifunctional Metasurface Design with a Generative Adversarial Network

Flawed in Nature, Perfect through Evolution

DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM

Rank1: Test-Time Compute for Reranking in Information Retrieval

Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data

Scalable Vision-Language-Action Model Pretraining for Robotic Manipulation with Real-Life Human Activity Videos

RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies

Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency

Persona Features Control Emergent Misalignment

A Comprehensive Survey of Dataset Distillation

Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms

Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions

Localizing Model Behavior with Path Patching

Reinforcement Learning from Human Feedback

FLARE: Robot Learning with Implicit World Modeling

k-Space Deep Learning for Accelerated MRI

Muon Optimizes Under Spectral Norm Constraints

Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models

Distilled One-Shot Federated Learning

Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning

hLLM: Single Pass Decoding for Generative Reranking