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)

19,021 to 19,080 of 20,193

Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles
Jinyang Wu, Guocheng Zhai, Ruihan Jin +7
cs.LGcs.CLarXiv:2605.22177v12026
The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation
Yifan Lan, Yuanpu Cao, Hanyu Wang +2
cs.LGcs.AIarXiv:2605.21856v12026
ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim Comparison
Tianle Li, Xuyang Shen, Yan Ma +7
cs.LGcs.AIcs.CVarXiv:2605.20278v22026
PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents
Zhuohan Gu, Qizheng Zhang, Omar Khattab +1
cs.AIcs.CLcs.LGarXiv:2605.19932v12026
Nexus : An Agentic Framework for Time Series Forecasting
Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar +6
cs.AIcs.CLcs.LGarXiv:2605.14389v12026
EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
Jiaqi Liu, Xinyu Ye, Peng Xia +4
cs.LGcs.AIarXiv:2605.13941v12026
Learning, Fast and Slow: Towards LLMs That Adapt Continually
Rishabh Tiwari, Kusha Sareen, Lakshya A Agrawal +6
cs.LGcs.AIarXiv:2605.12484v22026
Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon
Víctor Gallego
cs.LGcs.AIcs.DCarXiv:2605.09708v22026
Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction
Ngoc Bui, Hieu Trung Nguyen, Arman Cohan +1
cs.LGarXiv:2605.09649v12026
RewardHarness: Self-Evolving Agentic Post-Training
Yuxuan Zhang, Penghui Du, Bo Li +11
cs.AIcs.CLcs.CVarXiv:2605.08703v12026
Large Language Models over Networks: Collaborative Intelligence under Resource Constraints
Liangqi Yuan, Wenzhi Fang, Shiqiang Wang +2
eess.SPcs.DCcs.LGarXiv:2605.08626v12026
STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation
Ying Shen, Tianrong Chen, Yuan Gao +6
cs.CVcs.LGarXiv:2605.08029v12026
HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents
Guankai Li, Jiabin Chen, Yi Xu +2
cs.LGcs.AIarXiv:2605.07177v22026
ModelLens: Finding the Best for Your Task from Myriads of Models
Rui Cai, Weijie Jacky Mo, Xiaofei Wen +5
cs.LGarXiv:2605.07075v12026
RaguTeam at SemEval-2026 Task 8: Meno and Friends in a Judge-Orchestrated LLM Ensemble for Faithful Multi-Turn Response Generation
Ivan Bondarenko, Roman Derunets, Oleg Sedukhin +3
cs.CLcs.AIcs.LGarXiv:2605.04523v12026
CGM-JEPA: Learning Consistent Continuous Glucose Monitor Representations via Predictive Self-Supervised Pretraining
Hada Melino Muhammad, Zechen Li, Flora Salim +1
cs.LGcs.AIarXiv:2605.00933v12026
Scaling Continual Learning to 300+ Tasks with Bi-Level Routing Mixture-of-Experts
Meng Lou, Yunxiang Fu, Yizhou Yu
cs.LGcs.CVarXiv:2602.03473v22026
Understanding the Behaviour of Contrastive Loss
Feng Wang, Huaping Liu
cs.LGarXiv:2012.09740v22020
Summaries:한국어
ProGen: Language Modeling for Protein Generation
Ali Madani, Bryan McCann, Nikhil Naik +5
q-bio.BMcs.LGstat.MLarXiv:2004.03497v12020
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H. Lang +7
cs.LGcs.CVcs.ROarXiv:1903.11027v52019
Parameter-Efficient Transfer Learning for NLP
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski +5
cs.LGcs.CLstat.MLarXiv:1902.00751v22019
On Calibration of Modern Neural Networks
Chuan Guo, Geoff Pleiss, Yu Sun +1
cs.LGarXiv:1706.04599v22017
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza +5
cs.LGarXiv:1602.01783v22016
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox +1
cs.LGcs.CVcs.NEarXiv:1412.6806v32014
Diffusion-Pretrained Dense and Contextual Embeddings
Sedigheh Eslami, Maksim Gaiduk, Markus Krimmel +3
cs.LGcs.CLcs.IRarXiv:2602.11151v22026
Summaries:한국어
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Zhihong Shao, Peiyi Wang, Qihao Zhu +8
cs.CLcs.AIcs.LGarXiv:2402.03300v32024
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Anthony Brohan, Noah Brown, Justice Carbajal +51
cs.ROcs.CLcs.CVarXiv:2307.15818v12023
Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford, Jong Wook Kim, Tao Xu +3
eess.AScs.CLcs.LGarXiv:2212.04356v12022
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong +1
cs.LGcs.AIarXiv:2211.14730v22022
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid +2
cs.CLcs.AIcs.LGarXiv:2205.11916v42022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Yuntao Bai, Andy Jones, Kamal Ndousse +28
cs.CLcs.LGarXiv:2204.05862v12022
TruthfulQA: Measuring How Models Mimic Human Falsehoods
Stephanie Lin, Jacob Hilton, Owain Evans
cs.CLcs.AIcs.CYarXiv:2109.07958v22021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar, Li Jing, Ishan Misra +2
cs.CVcs.AIcs.LGarXiv:2103.03230v32021
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford, Jong Wook Kim, Chris Hallacy +9
cs.CVcs.LGarXiv:2103.00020v12021
Summaries:한국어
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
David M. W. Powers
cs.LGstat.MEstat.MLarXiv:2010.16061v12020
Supervised Contrastive Learning
Prannay Khosla, Piotr Teterwak, Chen Wang +6
cs.LGcs.CVstat.MLarXiv:2004.11362v52020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta +4
cs.CLcs.LGarXiv:2004.10964v32020
A Simple Framework for Contrastive Learning of Visual Representations
Ting Chen, Simon Kornblith, Mohammad Norouzi +1
cs.LGcs.CVstat.MLarXiv:2002.05709v32020
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song, Stefano Ermon
cs.LGstat.MLarXiv:1907.05600v32019
Deep learning in agriculture: A survey
Andreas Kamilaris, Francesc X. Prenafeta-Boldu
cs.LGcs.CVstat.MLarXiv:1807.11809v12018
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma, Prafulla Dhariwal
stat.MLcs.AIcs.LGarXiv:1807.03039v22018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai, J. Zico Kolter, Vladlen Koltun
cs.LGcs.AIcs.CLarXiv:1803.01271v22018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel +1
cs.LGcs.AIstat.MLarXiv:1801.01290v22018
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp +1
cs.LGarXiv:1707.01476v62017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Josh Tobin, Rachel Fong, Alex Ray +3
cs.ROcs.LGarXiv:1703.06907v12017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn, Pieter Abbeel, Sergey Levine
cs.LGcs.AIcs.CVarXiv:1703.03400v32017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal +2
cs.LGmath.OCarXiv:1609.04836v22016
XGBoost: A Scalable Tree Boosting System
Tianqi Chen, Carlos Guestrin
cs.LGarXiv:1603.02754v32016
Summaries:한국어
Prioritized Experience Replay
Tom Schaul, John Quan, Ioannis Antonoglou +1
cs.LGarXiv:1511.05952v42015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan +1
cs.LGcond-mat.dis-nnq-bio.NCarXiv:1503.03585v82015
A Tutorial on Spectral Clustering
Ulrike von Luxburg
cs.DScs.LGarXiv:0711.0189v12007
S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination
Sajjad Khan
cs.LGcs.AIcs.DCarXiv:2605.17076v22026
Decision-Metric Alignment in Latent World Models: Diagnostics and Action-Conditioned Objectives for MPC Planning
Jiawei Wang, Ke Rui, Yushen Zuo +2
cs.LGcs.CVarXiv:2608.18746v12026
An Omitted Mode Is a Rare Rule: The Sampling-Verification Danger Law in Continuous Code World Models
Javier Aguilar Martín
cs.LGcs.AIeess.SYarXiv:2608.17956v12026
Would this change your answer? Evaluating Explanations of LLM Behavior In The Wild with Counterfactual Experiments
Adam Karvonen, Euan Ong, Subhash Kantamneni +1
cs.LGcs.AIarXiv:2608.16747v12026
Topology-Preserving Neural Operator Learning via Hodge Decomposition
Dongzhe Zheng, Tao Zhong, Christine Allen-Blanchette
cs.LGcs.AIcs.CGarXiv:2605.13834v22026
Perturbation-based Regional Interpretability through Subtraction Mapping (PRISM): naming-error dissociations in language models and post-stroke aphasia
Xiang Guan, Roger D. Newman-Norlund, Yong Yang +8
cs.LGcs.CLarXiv:2608.12717v12026
Bitcoin Price Direction Prediction via Regime-Aware Multi-Modal Fusion of Social Sentiment and Technical Features
Muhammad Abdullah Haroon
cs.LGcs.CEecon.EMarXiv:2607.23370v12026
RLDX-1 Technical Report
Dongyoung Kim, Huiwon Jang, Myungkyu Koo +65
cs.ROcs.AIcs.LGarXiv:2605.03269v22026
Summaries:한국어
Adaptive Heterogeneous Compression for Resource-Efficient Federated Knowledge Distillation
Chenwang Liu, Yijun Liu, Chang Liu +2
cs.DCcs.LGarXiv:2608.15660v12026

Machine Learning

Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles

The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation

ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim Comparison

PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents

Nexus : An Agentic Framework for Time Series Forecasting

EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents

Learning, Fast and Slow: Towards LLMs That Adapt Continually

Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon

Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction

RewardHarness: Self-Evolving Agentic Post-Training

Large Language Models over Networks: Collaborative Intelligence under Resource Constraints

STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation

HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents

ModelLens: Finding the Best for Your Task from Myriads of Models

RaguTeam at SemEval-2026 Task 8: Meno and Friends in a Judge-Orchestrated LLM Ensemble for Faithful Multi-Turn Response Generation

CGM-JEPA: Learning Consistent Continuous Glucose Monitor Representations via Predictive Self-Supervised Pretraining

Scaling Continual Learning to 300+ Tasks with Bi-Level Routing Mixture-of-Experts

Understanding the Behaviour of Contrastive Loss

ProGen: Language Modeling for Protein Generation

nuScenes: A multimodal dataset for autonomous driving

Parameter-Efficient Transfer Learning for NLP

On Calibration of Modern Neural Networks

Asynchronous Methods for Deep Reinforcement Learning

Striving for Simplicity: The All Convolutional Net

Diffusion-Pretrained Dense and Contextual Embeddings

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Robust Speech Recognition via Large-Scale Weak Supervision

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Large Language Models are Zero-Shot Reasoners

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

TruthfulQA: Measuring How Models Mimic Human Falsehoods

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Learning Transferable Visual Models From Natural Language Supervision

Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Supervised Contrastive Learning

Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

A Simple Framework for Contrastive Learning of Visual Representations

Generative Modeling by Estimating Gradients of the Data Distribution

Deep learning in agriculture: A survey

Glow: Generative Flow with Invertible 1x1 Convolutions

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Convolutional 2D Knowledge Graph Embeddings

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

XGBoost: A Scalable Tree Boosting System

Prioritized Experience Replay

Deep Unsupervised Learning using Nonequilibrium Thermodynamics

A Tutorial on Spectral Clustering

S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination

Decision-Metric Alignment in Latent World Models: Diagnostics and Action-Conditioned Objectives for MPC Planning

An Omitted Mode Is a Rare Rule: The Sampling-Verification Danger Law in Continuous Code World Models

Would this change your answer? Evaluating Explanations of LLM Behavior In The Wild with Counterfactual Experiments

Topology-Preserving Neural Operator Learning via Hodge Decomposition

Perturbation-based Regional Interpretability through Subtraction Mapping (PRISM): naming-error dissociations in language models and post-stroke aphasia

Bitcoin Price Direction Prediction via Regime-Aware Multi-Modal Fusion of Social Sentiment and Technical Features

RLDX-1 Technical Report

Adaptive Heterogeneous Compression for Resource-Efficient Federated Knowledge Distillation