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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541 to 600 of 20,225

A Near-Linear Time Algorithm for the Chamfer Distance
Ainesh Bakshi, Piotr Indyk, Rajesh Jayaram +2
cs.DScs.CGcs.GRarXiv:2307.03043v12023
Lipschitz Bandits with Stochastic Delayed Feedback
Zhongxuan Liu, Yue Kang, Thomas C. M. Lee
cs.LGstat.MLarXiv:2510.00309v22025
Measuring training variability from stochastic optimization using robust nonparametric testing
Sinjini Banerjee, Tim Marrinan, Reilly Cannon +2
stat.MLcs.LGarXiv:2406.08307v22024
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks
Devansh Arpit, Yingbo Zhou, Bhargava U. Kota +1
stat.MLcs.LGarXiv:1603.01431v62016
DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning
Abhay Zala, Han Lin, Jaemin Cho +1
cs.CVcs.AIcs.CLarXiv:2310.12128v22023
Weight decay induces low-rank attention layers
Seijin Kobayashi, Yassir Akram, Johannes Von Oswald
cs.LGarXiv:2410.23819v12024
Think in English, Answer in Korean: Efficient Adaptation of Multilingual Tool-Using Agents
Utsav Garg, Sungjin Hong, Jason Jung +6
cs.AIcs.LGarXiv:2606.31648v12026
Online convex optimization in the bandit setting: gradient descent without a gradient
Abraham D. Flaxman, Adam Tauman Kalai, H. Brendan McMahan
cs.LGcs.CCarXiv:cs/0408007v12004
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT
Antti Koskela, Joonas Jälkö, Lukas Prediger +1
stat.MLcs.CRcs.LGarXiv:2006.07134v32020
Addressing Some Limitations of Transformers with Feedback Memory
Angela Fan, Thibaut Lavril, Edouard Grave +2
cs.LGcs.CLstat.MLarXiv:2002.09402v32020
Fair Adversarial Gradient Tree Boosting
Vincent Grari, Boris Ruf, Sylvain Lamprier +1
cs.LGcs.AIcs.CYarXiv:1911.05369v22019
Estimating individual treatment effect: generalization bounds and algorithms
Uri Shalit, Fredrik D. Johansson, David Sontag
stat.MLcs.AIcs.LGarXiv:1606.03976v52016
Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
Xin-Qiang Cai, Wei Wang, Feng Liu +3
cs.LGcs.AIarXiv:2510.00915v42025
Geometric Operator Learning with Optimal Transport
Xinyi Li, Zongyi Li, Nikola Kovachki +1
cs.LGarXiv:2507.20065v12025
OceanLight: Efficient Global Ocean Forecasting via Geometry-Adaptive Unstructured Mesh Representation
Wei Wu, Xiang Wang, Hongze Leng +3
cs.LGcs.AIarXiv:2608.16070v12026
Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents
Jiacheng Miao, Joe R. Davis, Yaohui Zhang +2
cs.AIcs.CLcs.LGarXiv:2509.06917v22025
Multimodal Whole Slide Foundation Model for Pathology
Tong Ding, Sophia J. Wagner, Andrew H. Song +20
eess.IVcs.AIcs.CVarXiv:2411.19666v12024
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao +1
cs.CLcs.LGarXiv:2006.03654v62020
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law
Damien Teney, Kushal Kafle, Robik Shrestha +3
cs.CVcs.LGarXiv:2005.09241v12020
Smoothed Dilated Convolutions for Improved Dense Prediction
Zhengyang Wang, Shuiwang Ji
cs.CVcs.LGarXiv:1808.08931v22018
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Evan Hubinger, Carson Denison, Jesse Mu +36
cs.CRcs.AIcs.CLarXiv:2401.05566v32024
Addressing the Item Cold-start Problem by Attribute-driven Active Learning
Yu Zhu, Jinhao Lin, Shibi He +4
cs.IRcs.LGstat.MLarXiv:1805.09023v12018
MotifNet: a motif-based Graph Convolutional Network for directed graphs
Federico Monti, Karl Otness, Michael M. Bronstein
cs.LGarXiv:1802.01572v12018
Wav2Letter: an End-to-End ConvNet-based Speech Recognition System
Ronan Collobert, Christian Puhrsch, Gabriel Synnaeve
cs.LGcs.AIcs.CLarXiv:1609.03193v22016
Sparse MoEs meet Efficient Ensembles
James Urquhart Allingham, Florian Wenzel, Zelda E Mariet +10
cs.LGcs.CVstat.MLarXiv:2110.03360v22021
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Maciej Besta, Nils Blach, Ales Kubicek +8
cs.CLcs.AIcs.LGarXiv:2308.09687v42023
The Impact of Positional Encoding on Length Generalization in Transformers
Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy +2
cs.CLcs.AIcs.LGarXiv:2305.19466v22023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Zhengyi Wang, Cheng Lu, Yikai Wang +4
cs.LGcs.CVarXiv:2305.16213v22023
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Tony Z. Zhao, Vikash Kumar, Sergey Levine +1
cs.ROcs.LGarXiv:2304.13705v12023
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation
Jean-Marie Lemercier, Julius Richter, Simon Welker +1
eess.AScs.LGcs.SDarXiv:2212.11851v22022
Beyond neural scaling laws: beating power law scaling via data pruning
Ben Sorscher, Robert Geirhos, Shashank Shekhar +2
cs.LGcs.AIcs.CVarXiv:2206.14486v62022
FedBABU: Towards Enhanced Representation for Federated Image Classification
Jaehoon Oh, Sangmook Kim, Se-Young Yun
cs.LGarXiv:2106.06042v32021
Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale
A. Sophia Koepke, Daniil Zverev, Shiry Ginosar +1
cs.CVcs.AIcs.LGarXiv:2604.18572v22026
Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers
Harsh Kohli, Srinivasan Parthasarathy, Huan Sun +1
cs.CLcs.AIcs.LGarXiv:2604.07822v22026
PLDR-LLMs Reason At Self-Organized Criticality
Burc Gokden
cs.AIcs.CLcs.LGarXiv:2603.23539v12026
A Neurosymbolic Approach for Constructing Planning Domain Models from Clinical Narratives
Ranveer Singh, Saurabh Mathur, Michael Skinner +3
cs.LGarXiv:2608.21186v12026
NerVE: Nonlinear Eigenspectrum Dynamics in LLM Feed-Forward Networks
Nandan Kumar Jha, Brandon Reagen
cs.LGarXiv:2603.06922v22026
Reinforcement Learning for Code Optimization
Pierre Chambon, Kunhao Zheng, Juliette Decugis +2
cs.LGcs.AIarXiv:2607.25970v12026
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li, Wenjie Yang, Shouheng Peng +1
cs.CVcs.LGeess.IVarXiv:2004.02806v12020
SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild?
Azmine Toushik Wasi, Wahid Faisal, Abdur Rahman +12
cs.CVcs.CEcs.CLarXiv:2602.03916v32026
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
Kadierdan Kaheman, J. Nathan Kutz, Steven L. Brunton
cs.LGphysics.comp-phstat.MLarXiv:2004.02322v22020
Meta Label Correction for Noisy Label Learning
Guoqing Zheng, Ahmed Hassan Awadallah, Susan Dumais
cs.LGstat.MLarXiv:1911.03809v22019
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine
Brian Coyle, Daniel Mills, Vincent Danos +1
quant-phcs.LGarXiv:1904.02214v42019
Federated Optimization in Heterogeneous Networks
Tian Li, Anit Kumar Sahu, Manzil Zaheer +3
cs.LGstat.MLarXiv:1812.06127v52018
Automating the Design of Embodied Agent Architectures
Jian Zhou, Sihao Lin, Jin Li +3
cs.ROcs.AIcs.LGarXiv:2606.30111v22026
TROPT: An Open Framework for Unifying and Advancing Discrete Text Optimization
Matan Ben-Tov, Mahmood Sharif
cs.LGcs.CRarXiv:2606.23496v12026
Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict Behavior
Rafal Kocielnik, Pengrui Han, Peiyang Song +5
cs.AIcs.CLcs.CYarXiv:2606.12730v12026
World Models
David Ha, Jürgen Schmidhuber
cs.LGstat.MLarXiv:1803.10122v42018
DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation
Jusuk Lee, Seungjae Lee, Jonghun Shin +6
cs.ROcs.LGarXiv:2605.30350v12026
Probabilistic Fair Clustering
Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas +1
cs.LGcs.AIcs.DSarXiv:2006.10916v32020
CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test
Zhangyi Hu, Chenhui Liu, Tian Huang +6
cs.LGcs.AIcs.CLarXiv:2605.23491v22026
Learn to Reason Efficiently with Adaptive Length-based Reward Shaping
Wei Liu, Ruochen Zhou, Yiyun Deng +5
cs.CLcs.AIcs.LGarXiv:2505.15612v12025
Deep Activity Recognition Models with Triaxial Accelerometers
Mohammad Abu Alsheikh, Ahmed Selim, Dusit Niyato +3
cs.LGcs.HCcs.NEarXiv:1511.04664v22015
Emergent Abilities in Large Language Models: A Survey
Leonardo Berti, Flavio Giorgi, Gjergji Kasneci
cs.LGcs.AIcs.CLarXiv:2503.05788v32025
Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs
Mantas Mazeika, Xuwang Yin, Rishub Tamirisa +8
cs.LGcs.AIcs.CLarXiv:2502.08640v22025
Finite Versus Infinite Neural Networks: an Empirical Study
Jaehoon Lee, Samuel S. Schoenholz, Jeffrey Pennington +4
cs.LGstat.MLarXiv:2007.15801v22020
Propagating Confidences through CNNs for Sparse Data Regression
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan
cs.CVcs.LGarXiv:1805.11913v32018
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training
Brian Bartoldson, Siddarth Venkatraman, James Diffenderfer +7
cs.LGarXiv:2503.18929v22025
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization
Blake Woodworth, Jialei Wang, Adam Smith +2
math.OCcs.LGstat.MLarXiv:1805.10222v32018
Efficient Differentiable Simulation of Articulated Bodies
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun +1
cs.LGcs.GRcs.ROarXiv:2109.07719v12021

Machine Learning

A Near-Linear Time Algorithm for the Chamfer Distance

Lipschitz Bandits with Stochastic Delayed Feedback

Measuring training variability from stochastic optimization using robust nonparametric testing

Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks

DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning

Weight decay induces low-rank attention layers

Think in English, Answer in Korean: Efficient Adaptation of Multilingual Tool-Using Agents

Online convex optimization in the bandit setting: gradient descent without a gradient

Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT

Addressing Some Limitations of Transformers with Feedback Memory

Fair Adversarial Gradient Tree Boosting

Estimating individual treatment effect: generalization bounds and algorithms

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers

Geometric Operator Learning with Optimal Transport

OceanLight: Efficient Global Ocean Forecasting via Geometry-Adaptive Unstructured Mesh Representation

Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents

Multimodal Whole Slide Foundation Model for Pathology

DeBERTa: Decoding-enhanced BERT with Disentangled Attention

On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law

Smoothed Dilated Convolutions for Improved Dense Prediction

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Addressing the Item Cold-start Problem by Attribute-driven Active Learning

MotifNet: a motif-based Graph Convolutional Network for directed graphs

Wav2Letter: an End-to-End ConvNet-based Speech Recognition System

Sparse MoEs meet Efficient Ensembles

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

The Impact of Positional Encoding on Length Generalization in Transformers

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation

Beyond neural scaling laws: beating power law scaling via data pruning

FedBABU: Towards Enhanced Representation for Federated Image Classification

Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale

Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers

PLDR-LLMs Reason At Self-Organized Criticality

A Neurosymbolic Approach for Constructing Planning Domain Models from Clinical Narratives

NerVE: Nonlinear Eigenspectrum Dynamics in LLM Feed-Forward Networks

Reinforcement Learning for Code Optimization

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild?

SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics

Meta Label Correction for Noisy Label Learning

The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine

Federated Optimization in Heterogeneous Networks

Automating the Design of Embodied Agent Architectures

TROPT: An Open Framework for Unifying and Advancing Discrete Text Optimization

Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict Behavior

World Models

DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation

Probabilistic Fair Clustering

CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test

Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Deep Activity Recognition Models with Triaxial Accelerometers

Emergent Abilities in Large Language Models: A Survey

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs

Finite Versus Infinite Neural Networks: an Empirical Study

Propagating Confidences through CNNs for Sparse Data Regression

Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training

Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization

Efficient Differentiable Simulation of Articulated Bodies