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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5,821 to 5,880 of 20,193

Reinforcement Learning and Rule-Based Peer-to-Peer Pricing in Residential PV-BES Communities
Pablo Benalcazar, Maciej Kalka, Wilian Guamán +1
cs.LGcs.CYarXiv:2609.01680v12026
Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data
Guoxu Zhou, Qibin Zhao, Yu Zhang +3
cs.CEcs.LGmath.NAarXiv:1508.07416v12015
Learning Human Identity from Motion Patterns
Natalia Neverova, Christian Wolf, Griffin Lacey +4
cs.LGcs.CVcs.NEarXiv:1511.03908v42015
AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
Edan Toledo, Karen Hambardzumyan, Martin Josifoski +22
cs.AIcs.LGarXiv:2507.02554v22025
Decentralized Federated Learning through Proxy Model Sharing
Shivam Kalra, Junfeng Wen, Jesse C. Cresswell +2
cs.LGarXiv:2111.11343v22021
TAPIP3D: Tracking Any Point in Persistent 3D Geometry
Bowei Zhang, Lei Ke, Adam W. Harley +1
cs.CVcs.LGarXiv:2504.14717v32025
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?
Michael S. Ryoo, AJ Piergiovanni, Anurag Arnab +2
cs.CVcs.LGarXiv:2106.11297v42021
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov +9
cs.CLcs.AIcs.LGarXiv:2403.04696v22024
EvoX: Meta-Evolution for Automated Discovery
Shu Liu, Shubham Agarwal, Monishwaran Maheswaran +14
cs.LGcs.CLcs.NEarXiv:2602.23413v22026
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation
Jiaxing Yan, Hong Zhao, Penghui Bu +1
cs.CVcs.AIcs.LGarXiv:2112.13047v12021
GenDICE: Generalized Offline Estimation of Stationary Values
Ruiyi Zhang, Bo Dai, Lihong Li +1
stat.MLcs.LGarXiv:2002.09072v12020
Design and Analysis of Uplink and Downlink Communications for Federated Learning
Sihui Zheng, Cong Shen, Xiang Chen
cs.ITcs.LGeess.SParXiv:2012.04057v12020
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
Yichen Wu, Hongming Piao, Long-Kai Huang +6
cs.LGarXiv:2501.13198v32025
Diffprivlib: The IBM Differential Privacy Library
Naoise Holohan, Stefano Braghin, Pól Mac Aonghusa +1
cs.CRcs.LGarXiv:1907.02444v12019
BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Models
Yuming Li, Yikai Wang, Yuying Zhu +4
cs.CVcs.AIcs.LGarXiv:2509.06040v52025
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM
Gabriel Ryan, Siddhartha Jain, Mingyue Shang +4
cs.SEcs.LGarXiv:2402.00097v22024
Improving the Diffusability of Autoencoders
Ivan Skorokhodov, Sharath Girish, Benran Hu +5
cs.CVcs.AIcs.LGarXiv:2502.14831v32025
Preventing Posterior Collapse with delta-VAEs
Ali Razavi, Aäron van den Oord, Ben Poole +1
cs.LGstat.MLarXiv:1901.03416v12019
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Aaron Havens, Benjamin Kurt Miller, Bing Yan +10
cs.LGcs.AIarXiv:2504.11713v32025
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Jing Liu, Yao Du, Kun Yang +8
cs.DCcs.AIcs.LGarXiv:2505.01821v52025
Imitation Learning as $f$-Divergence Minimization
Liyiming Ke, Sanjiban Choudhury, Matt Barnes +3
cs.LGcs.ITcs.ROarXiv:1905.12888v22019
Looking Beyond the Scale: Do Surgical Skill Models Learn Transferable Representations Across Assessment Rubrics?
Hanna Hoffmann, Felix von Bechtolsheim, Stefanie Speidel +1
cs.CVcs.LGarXiv:2608.17519v12026
Body size predicts how long ant workers live - but not how they age or how they die from heat
Alana Moscardi, Rafael da Silva, Gleycon Silva
q-bio.PEcs.LGarXiv:2608.14245v12026
From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence
Marc Finzi, Shikai Qiu, Yiding Jiang +3
cs.LGstat.MLarXiv:2601.03220v22026
Don't be lazy: CompleteP enables compute-efficient deep transformers
Nolan Dey, Bin Claire Zhang, Lorenzo Noci +6
cs.LGcs.AIarXiv:2505.01618v42025
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

Machine Learning

Reinforcement Learning and Rule-Based Peer-to-Peer Pricing in Residential PV-BES Communities

Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data

Learning Human Identity from Motion Patterns

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench

Decentralized Federated Learning through Proxy Model Sharing

TAPIP3D: Tracking Any Point in Persistent 3D Geometry

TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

EvoX: Meta-Evolution for Automated Discovery

Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation

GenDICE: Generalized Offline Estimation of Stationary Values

Design and Analysis of Uplink and Downlink Communications for Federated Learning

SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning

Diffprivlib: The IBM Differential Privacy Library

BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Models

Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM

Improving the Diffusability of Autoencoders

Preventing Posterior Collapse with delta-VAEs

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey

Imitation Learning as $f$-Divergence Minimization

Looking Beyond the Scale: Do Surgical Skill Models Learn Transferable Representations Across Assessment Rubrics?

Body size predicts how long ant workers live - but not how they age or how they die from heat

From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence

Don't be lazy: CompleteP enables compute-efficient deep transformers

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