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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6,361 to 6,420 of 20,454

Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
Jean Barbier, Mohamad Dia, Nicolas Macris +3
cs.ITcond-mat.dis-nncs.LGarXiv:1606.04142v12016
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks
Junkai Sun, Junbo Zhang, Qiaofei Li +3
cs.CVcs.LGarXiv:1903.07789v22019
Learning ReLUs via Gradient Descent
Mahdi Soltanolkotabi
cs.LGcs.ITmath.OCarXiv:1705.04591v22017
Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification
Pinlong Zhaoa, Linlin Houb, Ou Wua
cs.CLcs.LGarXiv:1906.04501v12019
SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?
Samuel Miserendino, Michele Wang, Tejal Patwardhan +1
cs.LGcs.SEarXiv:2502.12115v42025
Neural Rough Differential Equations for Long Time Series
James Morrill, Cristopher Salvi, Patrick Kidger +2
cs.LGcs.AImath.DSarXiv:2009.08295v42020
CTAB-GAN+: Enhancing Tabular Data Synthesis
Zilong Zhao, Aditya Kunar, Robert Birke +1
cs.LGarXiv:2204.00401v12022
On the Adversarial Robustness of Vision Transformers
Rulin Shao, Zhouxing Shi, Jinfeng Yi +2
cs.CVcs.AIcs.LGarXiv:2103.15670v32021
Towards Efficient Model Compression via Learned Global Ranking
Ting-Wu Chin, Ruizhou Ding, Cha Zhang +1
cs.CVcs.LGarXiv:1904.12368v22019
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
Mateusz Pach, Shyamgopal Karthik, Quentin Bouniot +2
cs.CVcs.AIcs.LGarXiv:2504.02821v32025
PointVLA: Injecting the 3D World into Vision-Language-Action Models
Chengmeng Li, Junjie Wen, Yan Peng +3
cs.ROcs.CVcs.LGarXiv:2503.07511v12025
Assessing Alignment and Stability of Feature Importance Explanations via Weight of Evidence
Eddie Conti, Claudio Daka, Álvaro Parafita +3
cs.LGcs.AIarXiv:2609.00090v12026
On the Reliable Detection of Concept Drift from Streaming Unlabeled Data
Tegjyot Singh Sethi, Mehmed Kantardzic
stat.MLcs.AIcs.LGarXiv:1704.00023v12017
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making
Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
cs.LGcs.IRstat.MLarXiv:1806.01059v22018
Unsupervised Control Through Non-Parametric Discriminative Rewards
David Warde-Farley, Tom Van de Wiele, Tejas Kulkarni +3
cs.LGcs.AIstat.MLarXiv:1811.11359v12018
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts
Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian +6
cs.LGarXiv:2503.02819v22025
Contrastive learning, multi-view redundancy, and linear models
Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu
cs.LGstat.MLarXiv:2008.10150v22020
Lingua Franca or Probing Artifact? Rethinking Latent Language in Multilingual LLMs
Deniz Bayazit, Badr AlKhamissi, Antoine Bosselut
cs.CLcs.AIcs.LGarXiv:2609.00155v12026
mmBERT: A Modern Multilingual Encoder with Annealed Language Learning
Marc Marone, Orion Weller, William Fleshman +3
cs.CLcs.IRcs.LGarXiv:2509.06888v12025
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
Lei Cai, Zhengzhang Chen, Chen Luo +4
cs.LGcs.SIstat.MLarXiv:2005.07427v22020
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt +4
cs.LGcs.AIstat.MLarXiv:2007.14175v22020
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
Subhash Kantamneni, Joshua Engels, Senthooran Rajamanoharan +2
cs.LGcs.AIarXiv:2502.16681v12025
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
Wei Fan, Pengyang Wang, Dongkun Wang +3
cs.LGcs.AIarXiv:2302.14829v32023
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach
Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis +1
stat.MLcs.ITcs.LGarXiv:1609.03240v22016
RL Token: Bootstrapping Online RL with Vision-Language-Action Models
Charles Xu, Jost Tobias Springenberg, Michael Equi +4
cs.LGcs.ROarXiv:2604.23073v22026
BACON: Band-limited Coordinate Networks for Multiscale Scene Representation
David B. Lindell, Dave Van Veen, Jeong Joon Park +1
cs.CVcs.GRcs.LGarXiv:2112.04645v22021
Sequence Parallelism: Long Sequence Training from System Perspective
Shenggui Li, Fuzhao Xue, Chaitanya Baranwal +2
cs.LGcs.DCarXiv:2105.13120v32021
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
Jon Donnelly, Alina Jade Barnett, Chaofan Chen
cs.CVcs.AIcs.LGarXiv:2111.15000v32021
Mutual information is copula entropy
Jian Ma, Zengqi Sun
cs.ITcs.LGmath.STarXiv:0808.0845v12008
FedGAN: Federated Generative Adversarial Networks for Distributed Data
Mohammad Rasouli, Tao Sun, Ram Rajagopal
cs.LGcs.CVcs.MAarXiv:2006.07228v22020
DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation
Dongya Jia, Zhuo Chen, Jiawei Chen +8
eess.AScs.AIcs.CLarXiv:2502.03930v42025
AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning
Chenwei Lou, Zewei Sun, Xinnian Liang +6
cs.LGcs.AIarXiv:2505.11896v22025
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
Rundi Wu, Yixin Zhuang, Kai Xu +2
cs.CVcs.GRcs.LGarXiv:1911.10949v32019
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

Machine Learning

Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula

Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks

Learning ReLUs via Gradient Descent

Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification

SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?

Neural Rough Differential Equations for Long Time Series

CTAB-GAN+: Enhancing Tabular Data Synthesis

On the Adversarial Robustness of Vision Transformers

Towards Efficient Model Compression via Learned Global Ranking

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

PointVLA: Injecting the 3D World into Vision-Language-Action Models

Assessing Alignment and Stability of Feature Importance Explanations via Weight of Evidence

On the Reliable Detection of Concept Drift from Streaming Unlabeled Data

iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making

Unsupervised Control Through Non-Parametric Discriminative Rewards

Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts

Contrastive learning, multi-view redundancy, and linear models

Lingua Franca or Probing Artifact? Rethinking Latent Language in Multilingual LLMs

mmBERT: A Modern Multilingual Encoder with Annealed Language Learning

Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings

Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting

Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach

RL Token: Bootstrapping Online RL with Vision-Language-Action Models

BACON: Band-limited Coordinate Networks for Multiscale Scene Representation

Sequence Parallelism: Long Sequence Training from System Perspective

Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes

Mutual information is copula entropy

FedGAN: Federated Generative Adversarial Networks for Distributed Data

DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning

PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes

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