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.

Search paper metadata (including unsummarized papers)

481 to 540 of 20,192

Measuring Semantic Similarity by Latent Relational Analysis
Peter D. Turney
cs.LGcs.CLcs.IRarXiv:cs/0508053v12005
SyGuS-Comp 2016: Results and Analysis
Rajeev Alur, Dana Fisman, Rishabh Singh +1
cs.SEcs.LGcs.LOarXiv:1611.07627v12016
TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning
Zhangchen Xu, Yuetai Li, Fengqing Jiang +4
cs.LGcs.AIcs.CLarXiv:2505.14625v22025
Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systems
Taejin Park, Ivan Medennikov, Kunal Dhawan +6
eess.AScs.CLcs.LGarXiv:2409.06656v32024
PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models
Mingue Park, Jisung Hwang, Seungwoo Yoo +2
cs.LGarXiv:2512.20063v32025
Multi-Task Federated Reinforcement Learning with Adversaries
Aqeel Anwar, Arijit Raychowdhury
cs.LGcs.AIarXiv:2103.06473v12021
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks
Chaoyang He, Emir Ceyani, Keshav Balasubramanian +2
cs.LGarXiv:2106.02743v12021
Pointwise Complexity for Gaussian Fields: Upper Envelopes, Algorithmic Lower Bounds, and Separation
Yunbei Xu
math.PRcond-mat.stat-mechcs.ITarXiv:2606.07931v22026
Predictable Scale: Part I, Step Law -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining
Houyi Li, Wenzhen Zheng, Qiufeng Wang +10
cs.LGcs.AIarXiv:2503.04715v72025
Score Centering Stabilizes Off-policy Reinforcement Learning
Martin Marek, Max Ryabinin
cs.LGarXiv:2609.20807v12026
Summaries:简体中文
Active Learning for Convolutional Neural Networks: A Core-Set Approach
Ozan Sener, Silvio Savarese
stat.MLcs.CVcs.LGarXiv:1708.00489v42017
Personalized Federated Learning with Gaussian Processes
Idan Achituve, Aviv Shamsian, Aviv Navon +2
cs.LGstat.MLarXiv:2106.15482v22021
MAS-PromptBench: When Does Prompt Optimization Improve Multi-Agent LLM Systems?
Juyang Bai, Laixi Shi
cs.LGcs.MAarXiv:2606.23664v12026
q-Learning in Continuous Time
Yanwei Jia, Xun Yu Zhou
cs.LGcs.AIq-fin.CParXiv:2207.00713v42022
AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
Florian Grötschla, Luis Müller, Jan Tönshoff +2
cs.MAcs.LGarXiv:2507.08616v12025
ResearchTown: Simulator of Human Research Community
Haofei Yu, Zhaochen Hong, Zirui Cheng +5
cs.CLcs.LGarXiv:2412.17767v22024
STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems
Akash Bonagiri, Gerard Janno Anderias, Saee Patil +6
cs.LGcs.AIarXiv:2605.02122v22026
Order in the Court: Explainable AI Methods Prone to Disagreement
Michael Neely, Stefan F. Schouten, Maurits J. R. Bleeker +1
cs.LGcs.CLarXiv:2105.03287v32021
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality
Xiaohan Ding, Honghao Chen, Xiangyu Zhang +2
cs.CVcs.AIcs.LGarXiv:2112.11081v22021
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
Hussein Mozannar, Gagan Bansal, Adam Fourney +1
cs.HCcs.LGcs.SEarXiv:2306.04930v32023
Summaries:한국어
State of the Art Control of Atari Games Using Shallow Reinforcement Learning
Yitao Liang, Marlos C. Machado, Erik Talvitie +1
cs.LGarXiv:1512.01563v22015
SoundReactor: Frame-level Online Video-to-Audio Generation
Koichi Saito, Julian Tanke, Christian Simon +7
cs.SDcs.LGeess.ASarXiv:2510.02110v12025
Fair and Diverse DPP-based Data Summarization
L. Elisa Celis, Vijay Keswani, Damian Straszak +3
cs.LGcs.CYcs.IRarXiv:1802.04023v12018
Progressive Distillation for Fast Sampling of Diffusion Models
Tim Salimans, Jonathan Ho
cs.LGcs.AIstat.MLarXiv:2202.00512v22022
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Pratik Chaudhari, Anna Choromanska, Stefano Soatto +6
cs.LGarXiv:1611.01838v42016
Learning to Reason for Hallucination Span Detection
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula +7
cs.CLcs.AIcs.LGarXiv:2510.02173v22025
R-Transformer: Recurrent Neural Network Enhanced Transformer
Zhiwei Wang, Yao Ma, Zitao Liu +1
cs.LGcs.CLcs.CVarXiv:1907.05572v12019
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

Machine Learning

Measuring Semantic Similarity by Latent Relational Analysis

SyGuS-Comp 2016: Results and Analysis

TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning

Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systems

PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models

Multi-Task Federated Reinforcement Learning with Adversaries

SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks

Pointwise Complexity for Gaussian Fields: Upper Envelopes, Algorithmic Lower Bounds, and Separation

Predictable Scale: Part I, Step Law -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining

Score Centering Stabilizes Off-policy Reinforcement Learning

Active Learning for Convolutional Neural Networks: A Core-Set Approach

Personalized Federated Learning with Gaussian Processes

MAS-PromptBench: When Does Prompt Optimization Improve Multi-Agent LLM Systems?

q-Learning in Continuous Time

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs

ResearchTown: Simulator of Human Research Community

STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems

Order in the Court: Explainable AI Methods Prone to Disagreement

RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming

State of the Art Control of Atari Games Using Shallow Reinforcement Learning

SoundReactor: Frame-level Online Video-to-Audio Generation

Fair and Diverse DPP-based Data Summarization

Progressive Distillation for Fast Sampling of Diffusion Models

Entropy-SGD: Biasing Gradient Descent Into Wide Valleys

Learning to Reason for Hallucination Span Detection

R-Transformer: Recurrent Neural Network Enhanced Transformer

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