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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8,161 to 8,220 of 20,199

Optimal CUR Matrix Decompositions
Christos Boutsidis, David P. Woodruff
cs.DScs.LGmath.NAarXiv:1405.7910v22014
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
Amir Gholami, Kurt Keutzer, George Biros
cs.LGarXiv:1902.10298v32019
RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
Zihan Wang, Kangrui Wang, Qineng Wang +15
cs.LGcs.AIcs.CLarXiv:2504.20073v22025
TradingAgents: Multi-Agents LLM Financial Trading Framework
Yijia Xiao, Edward Sun, Di Luo +1
q-fin.TRcs.AIcs.CEarXiv:2412.20138v72024
Deep learning-based synthetic-CT generation in radiotherapy and PET: a review
Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino +1
physics.med-phcs.LGeess.IVarXiv:2102.02734v22021
MemoryWalker: Stop Training Agents on Contexts They Never Saw
Zinco J, Xunjie Zhu, Shen Huang +3
cs.LGcs.CLarXiv:2609.00865v12026
Time-Dependent Deep Image Prior for Dynamic MRI
Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta +3
eess.IVcs.CVcs.LGarXiv:1910.01684v22019
Summaries:한국어
CATeye: Coupled Attribute-Topology Invariance Learning for Voucher Abuse Detection
Tian Tian, Shuaicheng Niu, Hao Kuang +3
cs.LGarXiv:2609.01425v12026
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
Diankun Wu, Fangfu Liu, Yi-Hsin Hung +1
cs.CVcs.AIcs.LGarXiv:2505.23747v22025
Summaries:한국어
Scalable Adaptive Computation for Iterative Generation
Allan Jabri, David Fleet, Ting Chen
cs.LGcs.CVcs.NEarXiv:2212.11972v22022
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery
Esther Rolf, Jonathan Proctor, Tamma Carleton +5
cs.LGcs.CVarXiv:2010.08168v12020
A Survey on Self-Improving Test-Time Intelligence: Feedback-Driven Adapting, Learning, and Scaling at Inference
Shuaicheng Niu, Guohao Chen, Yaofo Chen +14
cs.LGarXiv:2609.01679v12026
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
Xiao-Yang Liu, Hongyang Yang, Qian Chen +4
q-fin.TRcs.LGarXiv:2011.09607v22020
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks
Daniel Seita, Pete Florence, Jonathan Tompson +4
cs.ROcs.LGarXiv:2012.03385v42020
FedGH: Heterogeneous Federated Learning with Generalized Global Header
Liping Yi, Gang Wang, Xiaoguang Liu +2
cs.LGcs.DCarXiv:2303.13137v22023
KernelBench: Can LLMs Write Efficient GPU Kernels?
Anne Ouyang, Simon Guo, Simran Arora +4
cs.LGcs.AIcs.PFarXiv:2502.10517v12025
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
Kirthevasan Kandasamy, Karun Raju Vysyaraju, Willie Neiswanger +5
stat.MLcs.AIcs.LGarXiv:1903.06694v22019
TTRL: Test-Time Reinforcement Learning
Yuxin Zuo, Kaiyan Zhang, Li Sheng +13
cs.CLcs.LGarXiv:2504.16084v32025
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
Steven Cheng-Xian Li, Bo Jiang, Benjamin Marlin
cs.LGstat.MLarXiv:1902.09599v12019
When Metropolis and Hastings Meet Bradley and Terry: Exact MCMC From Preference Voting
Ariel Smogorghevski, Nir Rosenfeld, Yaniv Romano
cs.LGstat.COstat.MLarXiv:2609.00905v12026
A Survey of Data Quality Measurement and Monitoring Tools
Lisa Ehrlinger, Elisa Rusz, Wolfram Wöß
cs.DBcs.LGarXiv:1907.08138v12019
Chronos-2: From Univariate to Universal Forecasting
Abdul Fatir Ansari, Oleksandr Shchur, Jaris Küken +20
cs.LGcs.AIstat.MLarXiv:2510.15821v12025
What Can ResNet Learn Efficiently, Going Beyond Kernels?
Zeyuan Allen-Zhu, Yuanzhi Li
cs.LGcs.DScs.NEarXiv:1905.10337v32019
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
Fengqi Zhu, Rongzhen Wang, Shen Nie +8
cs.LGarXiv:2505.19223v22025
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
Carlos Caetano, Jessica Sena, François Brémond +2
cs.CVcs.LGeess.IVarXiv:1907.13025v12019
Layer by Layer: Uncovering Hidden Representations in Language Models
Oscar Skean, Md Rifat Arefin, Dan Zhao +4
cs.LGcs.AIcs.CLarXiv:2502.02013v22025
Loss minimization and parameter estimation with heavy tails
Daniel Hsu, Sivan Sabato
cs.LGstat.MLarXiv:1307.1827v72013
The Offset Tree for Learning with Partial Labels
Alina Beygelzimer, John Langford
cs.LGcs.AIarXiv:0812.4044v32008
Improving Video Generation with Human Feedback
Jie Liu, Gongye Liu, Jiajun Liang +14
cs.CVcs.AIcs.GRarXiv:2501.13918v22025
Deep Neural Network Compression for Aircraft Collision Avoidance Systems
Kyle D. Julian, Mykel J. Kochenderfer, Michael P. Owen
cs.LGstat.MLarXiv:1810.04240v12018
FoundationStereo: Zero-Shot Stereo Matching
Bowen Wen, Matthew Trepte, Joseph Aribido +3
cs.CVcs.LGcs.ROarXiv:2501.09898v42025
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Shih-Yang Liu, Xin Dong, Ximing Lu +10
cs.CLcs.AIcs.LGarXiv:2601.05242v12026
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving
Zihao Ye, Lequn Chen, Ruihang Lai +8
cs.DCcs.AIcs.LGarXiv:2501.01005v22025
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Tiwei Bie, Maosong Cao, Kun Chen +28
cs.LGcs.AIcs.CLarXiv:2512.15745v22025
Attribution Patching Outperforms Automated Circuit Discovery
Aaquib Syed, Can Rager, Arthur Conmy
cs.LGcs.AIcs.CLarXiv:2310.10348v22023
Meta-Learning without Memorization
Mingzhang Yin, George Tucker, Mingyuan Zhou +2
cs.LGcs.AIstat.MLarXiv:1912.03820v32019
Event-based Asynchronous Sparse Convolutional Networks
Nico Messikommer, Daniel Gehrig, Antonio Loquercio +1
cs.CVcs.LGeess.SParXiv:2003.09148v22020
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov, Polina Kirichenko, Nate Gruver +1
cs.LGcs.CVstat.MLarXiv:2210.11369v12022
Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents
Yifan Song, Da Yin, Xiang Yue +3
cs.CLcs.AIcs.LGarXiv:2403.02502v22024
AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
Christopher F. Brown, Michal R. Kazmierski, Valerie J. Pasquarella +16
cs.CVcs.LGarXiv:2507.22291v22025
CAT-Flow: Curvature-Adaptive sTeps for Flow Matching
Qinchan Li, Pedro Cisneros-Velarde, Keru Fu +3
cs.LGarXiv:2609.01746v12026
Tri-Band Channel Measurement-Enabled Multi-Layer Digital Twin for Terahertz Wireless Data Centers
Mingjie Zhu, Ziming Yu, Guangjian Wang +1
cs.LGcs.ITarXiv:2609.01699v12026
Kimi-Audio Technical Report
KimiTeam, Ding Ding, Zeqian Ju +37
eess.AScs.AIcs.CLarXiv:2504.18425v12025
The Structure of Quantization Damage in LLMs: Why the Next Bit Should Be Spent Globally
Jundong Hu, Shekar Ramachandran
cs.LGcs.CLarXiv:2609.01587v12026
Improved Gradient Descent Lower Bounds Beyond Nesterov
Yuhan Ye, Kaizhao Liu
math.OCcs.LGstat.MLarXiv:2609.02855v22026
Demystifying Long Chain-of-Thought Reasoning in LLMs
Edward Yeo, Yuxuan Tong, Morry Niu +2
cs.CLcs.LGarXiv:2502.03373v12025
DiffusionNFT: Online Diffusion Reinforcement with Forward Process
Kaiwen Zheng, Huayu Chen, Haotian Ye +7
cs.LGcs.AIcs.CVarXiv:2509.16117v22025
AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
Wei Fu, Jiaxuan Gao, Xujie Shen +10
cs.LGcs.AIarXiv:2505.24298v52025
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
Jingang Qu, David Holzmüller, Gaël Varoquaux +1
cs.LGcs.AIarXiv:2502.05564v22025
Learning the Pareto Front with Hypernetworks
Aviv Navon, Aviv Shamsian, Gal Chechik +1
cs.LGarXiv:2010.04104v22020
UMA: A Family of Universal Models for Atoms
Brandon M. Wood, Misko Dzamba, Xiang Fu +15
cs.LGarXiv:2506.23971v22025
Automated Directed Fairness Testing
Sakshi Udeshi, Pryanshu Arora, Sudipta Chattopadhyay
cs.LGcs.AIcs.SEarXiv:1807.00468v22018
DENSE: Data-Free One-Shot Federated Learning
Jie Zhang, Chen Chen, Bo Li +5
cs.LGcs.CVarXiv:2112.12371v22021
Strongly Adaptive Online Learning
Amit Daniely, Alon Gonen, Shai Shalev-Shwartz
cs.LGarXiv:1502.07073v32015
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
Shun Zheng, Wei Cao, Wei Xu +1
cs.CLcs.LGarXiv:1904.07535v22019
Graph Neural Networks in IoT: A Survey
Guimin Dong, Mingyue Tang, Zhiyuan Wang +7
cs.LGarXiv:2203.15935v22022
Cascaded V-Net using ROI masks for brain tumor segmentation
Adrià Casamitjana, Marcel Catà, Irina Sánchez +2
cs.CVcs.AIcs.CYarXiv:1812.11588v12018
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Xiaowei Huang, Wenjie Ruan, Wei Huang +14
cs.AIcs.LGarXiv:2305.11391v22023
When Vision Meets Graphs: A Survey on Graph Reasoning and Learning
Xinjian Zhao, Wei Pang, Zhixuan Yu +8
cs.SIcs.CVcs.LGarXiv:2609.03816v12026
Most Ligand-Based Classification Benchmarks Reward Memorization Rather than Generalization
Izhar Wallach, Abraham Heifets
q-bio.QMcs.LGstat.MLarXiv:1706.06619v22017

Machine Learning

Optimal CUR Matrix Decompositions

ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

TradingAgents: Multi-Agents LLM Financial Trading Framework

Deep learning-based synthetic-CT generation in radiotherapy and PET: a review

MemoryWalker: Stop Training Agents on Contexts They Never Saw

Time-Dependent Deep Image Prior for Dynamic MRI

CATeye: Coupled Attribute-Topology Invariance Learning for Voucher Abuse Detection

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence

Scalable Adaptive Computation for Iterative Generation

A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery

A Survey on Self-Improving Test-Time Intelligence: Feedback-Driven Adapting, Learning, and Scaling at Inference

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks

FedGH: Heterogeneous Federated Learning with Generalized Global Header

KernelBench: Can LLMs Write Efficient GPU Kernels?

Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly

TTRL: Test-Time Reinforcement Learning

MisGAN: Learning from Incomplete Data with Generative Adversarial Networks

When Metropolis and Hastings Meet Bradley and Terry: Exact MCMC From Preference Voting

A Survey of Data Quality Measurement and Monitoring Tools

Chronos-2: From Univariate to Universal Forecasting

What Can ResNet Learn Efficiently, Going Beyond Kernels?

LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models

SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition

Layer by Layer: Uncovering Hidden Representations in Language Models

Loss minimization and parameter estimation with heavy tails

The Offset Tree for Learning with Partial Labels

Improving Video Generation with Human Feedback

Deep Neural Network Compression for Aircraft Collision Avoidance Systems

FoundationStereo: Zero-Shot Stereo Matching

GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization

FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving

LLaDA2.0: Scaling Up Diffusion Language Models to 100B

Attribution Patching Outperforms Automated Circuit Discovery

Meta-Learning without Memorization

Event-based Asynchronous Sparse Convolutional Networks

On Feature Learning in the Presence of Spurious Correlations

Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents

AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data

CAT-Flow: Curvature-Adaptive sTeps for Flow Matching

Tri-Band Channel Measurement-Enabled Multi-Layer Digital Twin for Terahertz Wireless Data Centers

Kimi-Audio Technical Report

The Structure of Quantization Damage in LLMs: Why the Next Bit Should Be Spent Globally

Improved Gradient Descent Lower Bounds Beyond Nesterov

Demystifying Long Chain-of-Thought Reasoning in LLMs

DiffusionNFT: Online Diffusion Reinforcement with Forward Process

AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data

Learning the Pareto Front with Hypernetworks

UMA: A Family of Universal Models for Atoms

Automated Directed Fairness Testing

DENSE: Data-Free One-Shot Federated Learning

Strongly Adaptive Online Learning

Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction

Graph Neural Networks in IoT: A Survey

Cascaded V-Net using ROI masks for brain tumor segmentation

A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation

When Vision Meets Graphs: A Survey on Graph Reasoning and Learning

Most Ligand-Based Classification Benchmarks Reward Memorization Rather than Generalization