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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5,641 to 5,700 of 19,988

Text Capability Loss in Vision-Language Adaptation: An Attention-Sink Diagnosis
Minsik Choi, Geewook Kim, Young Geun Kim
cs.LGarXiv:2609.00746v12026
Web Price Extraction: State of the Art and an Adaptive Browserless Implementation
Evgeniia Kositsyna, Jorge Lloret-Gazo
cs.IRcs.LGcs.NEarXiv:2609.01030v12026
A Bayesian Sampling Approach to Exploration in Reinforcement Learning
John Asmuth, Lihong Li, Michael L. Littman +2
cs.LGarXiv:1205.2664v12012
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos
cs.LGstat.MLarXiv:1903.10598v12019
VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching
Siyu Xu, Yunke Wang, Chenghao Xia +3
cs.ROcs.CVcs.LGarXiv:2502.02175v22025
Energy Considerations of Large Language Model Inference and Efficiency Optimizations
Jared Fernandez, Clara Na, Vashisth Tiwari +3
cs.CLcs.LGarXiv:2504.17674v12025
Adapting Auxiliary Losses Using Gradient Similarity
Yunshu Du, Wojciech M. Czarnecki, Siddhant M. Jayakumar +3
stat.MLcs.LGarXiv:1812.02224v22018
SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning
Rui Pan, Yinwei Dai, Zhihao Zhang +3
cs.LGcs.AIarXiv:2504.07891v22025
DMCP: Differentiable Markov Channel Pruning for Neural Networks
Shaopeng Guo, Yujie Wang, Quanquan Li +1
cs.CVcs.LGarXiv:2005.03354v22020
Scaling Video Analytics on Constrained Edge Nodes
Christopher Canel, Thomas Kim, Giulio Zhou +5
cs.CVcs.LGcs.PFarXiv:1905.13536v12019
Energy-Based Learning for Scene Graph Generation
Mohammed Suhail, Abhay Mittal, Behjat Siddiquie +4
cs.CVcs.LGarXiv:2103.02221v12021
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience
Zeyi Sun, Ziyu Liu, Yuhang Zang +5
cs.AIcs.CLcs.CVarXiv:2508.04700v22025
Matched Queries for Curvature and Density at Branching Junctions
Ziqi Zhao, Qingjian Ni
stat.MLcs.LGarXiv:2609.01319v12026
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
Li Jing, Yichen Shen, Tena Dubček +5
cs.LGcs.NEstat.MLarXiv:1612.05231v32016
OverThink: Slowdown Attacks on Reasoning LLMs
Abhinav Kumar, Jaechul Roh, Ali Naseh +4
cs.LGcs.CRarXiv:2502.02542v42025
AdaMuon: Adaptive Muon Optimizer
Chongjie Si, Debing Zhang, Wei Shen
cs.LGarXiv:2507.11005v32025
Natural Neural Networks
Guillaume Desjardins, Karen Simonyan, Razvan Pascanu +1
stat.MLcs.LGcs.NEarXiv:1507.00210v12015
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Felix Friedrich, Manuel Brack, Lukas Struppek +4
cs.LGcs.AIcs.CVarXiv:2302.10893v32023
Quantum Sparse Autoencoders for Q-Matrix Estimation in Cognitive Diagnosis
Arif Hassan Zidan, Yi Pan, Bowen Guo +5
cs.LGarXiv:2609.01537v12026
HarmoCore: Functional Latent Diffusion for Sparse Reconstruction of Oscillatory Wave Fields
Lihao Chen, Xinyu Zhang, Panqi Chen +4
cs.LGcs.CEarXiv:2609.00679v12026
MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs
Erik Daxberger, Nina Wenzel, David Griffiths +8
cs.CVcs.CLcs.LGarXiv:2503.13111v22025
Radial Attention: $O(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation
Xingyang Li, Muyang Li, Tianle Cai +11
cs.CVcs.AIcs.LGarXiv:2506.19852v22025
Rethinking Learnability in Offline Data-driven Optimization
Chao Qian, Chen-Guang Wang, Rong-Xi Tan +1
cs.LGcs.AIcs.NEarXiv:2609.01493v22026
What's Behind PPO's Collapse in Long-CoT? Value Optimization Holds the Secret
Yufeng Yuan, Yu Yue, Ruofei Zhu +2
cs.LGarXiv:2503.01491v12025
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence
Nihar B. Shah, Sivaraman Balakrishnan, Joseph Bradley +3
cs.LGcs.ITstat.MLarXiv:1505.01462v12015
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Derek Yang, Li Zhao, Zichuan Lin +3
cs.LGcs.AIstat.MLarXiv:1911.02140v32019
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf +1
cs.LGcs.AIstat.MLarXiv:2010.04050v22020
ReasonIR: Training Retrievers for Reasoning Tasks
Rulin Shao, Rui Qiao, Varsha Kishore +8
cs.AIcs.CLcs.IRarXiv:2504.20595v12025
TxGemma: Efficient and Agentic LLMs for Therapeutics
Eric Wang, Samuel Schmidgall, Paul F. Jaeger +6
cs.AIcs.CLcs.LGarXiv:2504.06196v12025
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
Hongjin Su, Ruoxi Sun, Jinsung Yoon +3
cs.LGcs.AIarXiv:2501.10893v12025
Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs)
Artem Riabinin, Egor Shulgin, Kaja Gruntkowska +1
cs.LGmath.OCstat.MLarXiv:2505.13416v12025
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink
Ranjie Duan, Xiaofeng Mao, A. K. Qin +4
cs.LGcs.AIcs.CRarXiv:2103.06504v12021
MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis
Jiaxin Li, Zijian Feng, Qi She +3
cs.CVcs.GRcs.LGarXiv:2103.14910v32021
Self-Training Elicits Concise Reasoning in Large Language Models
Tergel Munkhbat, Namgyu Ho, Seo Hyun Kim +3
cs.CLcs.AIcs.LGarXiv:2502.20122v32025
Voice Separation with an Unknown Number of Multiple Speakers
Eliya Nachmani, Yossi Adi, Lior Wolf
eess.AScs.LGcs.SDarXiv:2003.01531v42020
Vision-Language-Guided Pseudo-Labels for Unsupervised Domain Adaptation in Semantic Segmentation for Waste Sorting
Udo Schlegel, Shubhangi, Gabriel Dax +3
cs.CVcs.AIcs.LGarXiv:2609.00898v12026
Missing Data Imputation using Optimal Transport
Boris Muzellec, Julie Josse, Claire Boyer +1
stat.MLcs.LGarXiv:2002.03860v32020
PaSa: An LLM Agent for Comprehensive Academic Paper Search
Yichen He, Guanhua Huang, Peiyuan Feng +4
cs.IRcs.LGarXiv:2501.10120v22025
Solving Schrödinger Bridges via Maximum Likelihood
Francisco Vargas, Pierre Thodoroff, Neil D. Lawrence +1
stat.MLcs.LGarXiv:2106.02081v92021
FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems
Jeongsol Kim, Bryan Sangwoo Kim, Jong Chul Ye
cs.CVcs.AIcs.LGarXiv:2503.08136v12025
Transformers are Graph Neural Networks
Chaitanya K. Joshi
cs.LGcs.AIarXiv:2506.22084v12025
Learning with Good Feature Representations in Bandits and in RL with a Generative Model
Tor Lattimore, Csaba Szepesvari, Gellert Weisz
stat.MLcs.LGarXiv:1911.07676v22019
AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
Xing Han Lù, Amirhossein Kazemnejad, Nicholas Meade +7
cs.LGcs.AIcs.CLarXiv:2504.08942v22025
Real-time Traffic Accident Risk Prediction based on Frequent Pattern Tree
Lei Lin, Qian Wang, Adel W. Sadek
stat.APcs.LGarXiv:1701.05691v22017
RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
Kun Lei, Huanyu Li, Dongjie Yu +6
cs.ROcs.AIcs.LGarXiv:2510.14830v42025
Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing
Zhe Liu, Nicholas Rolston, Austin C. Flick +4
cs.LGphysics.app-pharXiv:2110.01387v42021
Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting
Howard Chen, Noam Razin, Karthik Narasimhan +1
cs.LGcs.CLarXiv:2510.18874v32025
Learning to Predict the Cosmological Structure Formation
Siyu He, Yin Li, Yu Feng +4
astro-ph.COcs.AIcs.LGarXiv:1811.06533v22018
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL
Mohammadreza Pourreza, Shayan Talaei, Ruoxi Sun +5
cs.LGcs.AIcs.DBarXiv:2503.23157v22025
GPT Takes the Bar Exam
Michael Bommarito, Daniel Martin Katz
cs.CLcs.AIcs.LGarXiv:2212.14402v12022
From Pixels to Torques: Policy Learning with Deep Dynamical Models
Niklas Wahlström, Thomas B. Schön, Marc Peter Deisenroth
stat.MLcs.LGcs.ROarXiv:1502.02251v32015
LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs
Yunhui Xia, Wei Shen, Yan Wang +5
cs.LGcs.CLcs.SEarXiv:2504.14655v12025
A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization
Yukun Bao, Zhongyi Hu, Tao Xiong
cs.LGcs.AIcs.NEarXiv:1401.1926v12014
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation
Yinmin Zhong, Zili Zhang, Xiaoniu Song +11
cs.LGcs.DCarXiv:2504.15930v12025
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
Gang Xu, Zhigang Song, Zhuo Sun +6
eess.IVcs.CVcs.LGarXiv:1908.10555v12019
Quad-networks: unsupervised learning to rank for interest point detection
Nikolay Savinov, Akihito Seki, Lubor Ladicky +2
cs.CVcs.LGcs.NEarXiv:1611.07571v22016
TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators
Jianling Li, Shangzhan Li, Zhenye Gao +9
cs.CLcs.LGarXiv:2502.14752v12025
Federated Neural Collaborative Filtering
Vasileios Perifanis, Pavlos S. Efraimidis
cs.IRcs.CRcs.LGarXiv:2106.04405v22021
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces
Jiahang Cao, Jinyuan Fang, Zaiqiao Meng +1
cs.LGcs.AIcs.CLarXiv:2211.03536v22022
On the Adversarial Robustness of Multi-Modal Foundation Models
Christian Schlarmann, Matthias Hein
cs.LGcs.AIcs.CRarXiv:2308.10741v12023

Machine Learning

Text Capability Loss in Vision-Language Adaptation: An Attention-Sink Diagnosis

Web Price Extraction: State of the Art and an Adaptive Browserless Implementation

A Bayesian Sampling Approach to Exploration in Reinforcement Learning

Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making

VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching

Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Adapting Auxiliary Losses Using Gradient Similarity

SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning

DMCP: Differentiable Markov Channel Pruning for Neural Networks

Scaling Video Analytics on Constrained Edge Nodes

Energy-Based Learning for Scene Graph Generation

SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Matched Queries for Curvature and Density at Branching Junctions

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs

OverThink: Slowdown Attacks on Reasoning LLMs

AdaMuon: Adaptive Muon Optimizer

Natural Neural Networks

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness

Quantum Sparse Autoencoders for Q-Matrix Estimation in Cognitive Diagnosis

HarmoCore: Functional Latent Diffusion for Sparse Reconstruction of Oscillatory Wave Fields

MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs

Radial Attention: $O(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation

Rethinking Learnability in Offline Data-driven Optimization

What's Behind PPO's Collapse in Long-CoT? Value Optimization Holds the Secret

Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence

Fully Parameterized Quantile Function for Distributional Reinforcement Learning

A survey of algorithmic recourse: definitions, formulations, solutions, and prospects

ReasonIR: Training Retrievers for Reasoning Tasks

TxGemma: Efficient and Agentic LLMs for Therapeutics

Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs)

Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink

MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis

Self-Training Elicits Concise Reasoning in Large Language Models

Voice Separation with an Unknown Number of Multiple Speakers

Vision-Language-Guided Pseudo-Labels for Unsupervised Domain Adaptation in Semantic Segmentation for Waste Sorting

Missing Data Imputation using Optimal Transport

PaSa: An LLM Agent for Comprehensive Academic Paper Search

Solving Schrödinger Bridges via Maximum Likelihood

FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems

Transformers are Graph Neural Networks

Learning with Good Feature Representations in Bandits and in RL with a Generative Model

AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories

Real-time Traffic Accident Risk Prediction based on Frequent Pattern Tree

RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning

Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing

Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting

Learning to Predict the Cosmological Structure Formation

Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

GPT Takes the Bar Exam

From Pixels to Torques: Policy Learning with Deep Dynamical Models

LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization

StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation

CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation

Quad-networks: unsupervised learning to rank for interest point detection

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Federated Neural Collaborative Filtering

Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces

On the Adversarial Robustness of Multi-Modal Foundation Models