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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17,641 to 17,700 of 20,193

Rethinking the Trust Region in LLM Reinforcement Learning
Penghui Qi, Xiangxin Zhou, Zichen Liu +4
cs.LGcs.AIcs.CLarXiv:2602.04879v32026
Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening
Xiaotong Ji, Rasul Tutunov, Matthieu Zimmer +1
cs.LGcs.AIarXiv:2601.21590v12026
Continuous Deep Q-Learning with Model-based Acceleration
Shixiang Gu, Timothy Lillicrap, Ilya Sutskever +1
cs.LGcs.AIcs.ROarXiv:1603.00748v12016
Meta-learning with differentiable closed-form solvers
Luca Bertinetto, João F. Henriques, Philip H. S. Torr +1
cs.CVcs.LGstat.MLarXiv:1805.08136v32018
FinBERT: Financial Sentiment Analysis with Pre-trained Language Models
Dogu Araci
cs.CLcs.LGarXiv:1908.10063v12019
Contrastive Learning with Hard Negative Samples
Joshua Robinson, Ching-Yao Chuang, Suvrit Sra +1
cs.LGstat.MLarXiv:2010.04592v22020
Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
Yonglong Tian, Yue Wang, Dilip Krishnan +2
cs.CVcs.LGarXiv:2003.11539v22020
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
cs.LGarXiv:2201.07284v62022
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks, Mantas Mazeika, Saurav Kadavath +1
cs.LGcs.CVstat.MLarXiv:1906.12340v22019
FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization
Chiyu Ma, Shuo Yang, Kexin Huang +7
cs.LGarXiv:2603.19835v32026
How to Construct Deep Recurrent Neural Networks
Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho +1
cs.NEcs.LGstat.MLarXiv:1312.6026v52013
A survey of loss functions for semantic segmentation
Shruti Jadon
eess.IVcs.CVcs.LGarXiv:2006.14822v42020
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Jure Zbontar, Florian Knoll, Anuroop Sriram +24
cs.CVcs.LGeess.SParXiv:1811.08839v22018
Large Language Model Reasoning Failures
Peiyang Song, Pengrui Han, Noah Goodman
cs.AIcs.CLcs.LGarXiv:2602.06176v12026
A review on outlier/anomaly detection in time series data
Ane Blázquez-García, Angel Conde, Usue Mori +1
cs.LGstat.MLarXiv:2002.04236v12020
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Stéphane d'Ascoli, Hugo Touvron, Matthew Leavitt +3
cs.CVcs.LGstat.MLarXiv:2103.10697v22021
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
Michael Niemeyer, Andreas Geiger
cs.CVcs.LGarXiv:2011.12100v22020
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
Kyunghwan Son, Daewoo Kim, Wan Ju Kang +2
cs.LGcs.AIcs.MAarXiv:1905.05408v12019
OmniGAIA: Towards Native Omni-Modal AI Agents
Xiaoxi Li, Wenxiang Jiao, Jiarui Jin +10
cs.AIcs.CLcs.CVarXiv:2602.22897v32026
LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory
Junyi Zhang, Charles Herrmann, Junhwa Hur +5
cs.CVcs.LGarXiv:2603.03269v22026
AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security
Dongrui Liu, Qihan Ren, Chen Qian +40
cs.AIcs.CCcs.CLarXiv:2601.18491v22026
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder
Daehyung Park, Yuuna Hoshi, Charles C. Kemp
cs.ROcs.LGarXiv:1711.00614v12017
Distributed GraphLab: A Framework for Machine Learning in the Cloud
Yucheng Low, Joseph Gonzalez, Aapo Kyrola +3
cs.DBcs.LGarXiv:1204.6078v12012
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
Wenshuai Zhao, Jorge Peña Queralta, Tomi Westerlund
cs.LGcs.ROarXiv:2009.13303v22020
Revisiting the Platonic Representation Hypothesis: An Aristotelian View
Fabian Gröger, Shuo Wen, Maria Brbić
cs.LGcs.AIcs.CVarXiv:2602.14486v22026
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
Mohammed Ali Al-Garadi, Amr Mohamed, Abdulla Al-Ali +2
cs.CRcs.LGcs.NIarXiv:1807.11023v12018
Trained Ternary Quantization
Chenzhuo Zhu, Song Han, Huizi Mao +1
cs.LGarXiv:1612.01064v32016
MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification
MiroMind Team, S. Bai, L. Bing +41
cs.CLcs.AIcs.IRarXiv:2603.15726v12026
UI-Venus-1.5 Technical Report
Venus Team, Changlong Gao, Zhangxuan Gu +24
cs.CVcs.AIcs.CLarXiv:2602.09082v22026
TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics
Shirui Chen, Cole Harrison, Ying-Chun Lee +6
cs.ROcs.AIcs.LGarXiv:2602.19313v22026
Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs
Haoming Meng, Kexin Huang, Shaohang Wei +6
cs.CLcs.AIcs.LGarXiv:2603.22446v12026
Selective Classification for Deep Neural Networks
Yonatan Geifman, Ran El-Yaniv
cs.LGcs.AIarXiv:1705.08500v22017
A General Theoretical Paradigm to Understand Learning from Human Preferences
Mohammad Gheshlaghi Azar, Mark Rowland, Bilal Piot +4
cs.AIcs.LGstat.MLarXiv:2310.12036v22023
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
Will Grathwohl, Ricky T. Q. Chen, Jesse Bettencourt +2
cs.LGcs.CVstat.MLarXiv:1810.01367v32018
Deep Kernel Learning
Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov +1
cs.LGcs.AIstat.MEarXiv:1511.02222v12015
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Jingfeng Yang, Hongye Jin, Ruixiang Tang +5
cs.CLcs.AIcs.LGarXiv:2304.13712v22023
Vector Quantized Diffusion Model for Text-to-Image Synthesis
Shuyang Gu, Dong Chen, Jianmin Bao +5
cs.CVcs.LGarXiv:2111.14822v32021
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
Peiyi Wang, Lei Li, Zhihong Shao +6
cs.AIcs.CLcs.LGarXiv:2312.08935v32023
IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse
Yushi Bai, Qian Dong, Ting Jiang +5
cs.CLcs.LGarXiv:2603.12201v12026
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye, Anders Johan Andreassen, Guy Gur-Ari +9
cs.LGcs.NEarXiv:2112.00114v12021
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Yogesh Balaji, Seungjun Nah, Xun Huang +10
cs.CVcs.LGarXiv:2211.01324v52022
Endless Terminals: Scaling RL Environments for Terminal Agents
Kanishk Gandhi, Shivam Garg, Noah D. Goodman +1
cs.LGcs.CLarXiv:2601.16443v32026
Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution
Rui Cai, Jun Guo, Xinze He +20
cs.ROcs.LGarXiv:2602.12684v22026
Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu +4
cs.CVcs.GRcs.LGarXiv:1808.06601v22018
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
Anusha Nagabandi, Gregory Kahn, Ronald S. Fearing +1
cs.LGcs.AIcs.ROarXiv:1708.02596v22017
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
Mengzhang Li, Zhanxing Zhu
cs.LGcs.AIarXiv:2012.09641v22020
Learning to reinforcement learn
Jane X Wang, Zeb Kurth-Nelson, Dhruva Tirumala +6
cs.LGcs.AIstat.MLarXiv:1611.05763v32016
Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan, Hrant Khachatrian, David C. Kale +2
stat.MLcs.LGarXiv:1703.07771v32017
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Lai Wei, Liangbo He, Jun Lan +9
cs.CVcs.AIcs.CLarXiv:2602.11858v22026
Hindsight Credit Assignment for Long-Horizon LLM Agents
Hui-Ze Tan, Xiao-Wen Yang, Hao Chen +7
cs.LGcs.AIarXiv:2603.08754v12026
Summaries:简体中文
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
Zhaoyang Wang, Canwen Xu, Boyi Liu +5
cs.AIcs.CLcs.LGarXiv:2602.10090v32026
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Adam Roberts, Colin Raffel, Noam Shazeer
cs.CLcs.LGstat.MLarXiv:2002.08910v42020
Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep Learning
Mohammad Lotfollahi, Ramin Shirali Hossein Zade, Mahdi Jafari Siavoshani +1
cs.LGcs.CRcs.NIarXiv:1709.02656v32017
TS2Vec: Towards Universal Representation of Time Series
Zhihan Yue, Yujing Wang, Juanyong Duan +4
cs.LGcs.AIarXiv:2106.10466v42021
Dynamic Filter Networks
Bert De Brabandere, Xu Jia, Tinne Tuytelaars +1
cs.LGcs.CVarXiv:1605.09673v22016
Snapshot Ensembles: Train 1, get M for free
Gao Huang, Yixuan Li, Geoff Pleiss +3
cs.LGarXiv:1704.00109v12017
Kimi K2.5: Visual Agentic Intelligence
Kimi Team, Tongtong Bai, Yifan Bai +334
cs.CLcs.AIcs.LGarXiv:2602.02276v22026
Summaries:한국어
Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
Yuqian Fu, Haohuan Huang, Kaiwen Jiang +4
cs.LGcs.AIcs.CLarXiv:2603.25562v22026
Towards a Science of AI Agent Reliability
Stephan Rabanser, Sayash Kapoor, Peter Kirgis +3
cs.AIcs.CYcs.LGarXiv:2602.16666v32026
Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation
Wenkai Yang, Weijie Liu, Ruobing Xie +3
cs.LGcs.AIcs.CLarXiv:2602.12125v22026

Machine Learning

Rethinking the Trust Region in LLM Reinforcement Learning

Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening

Continuous Deep Q-Learning with Model-based Acceleration

Meta-learning with differentiable closed-form solvers

FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Contrastive Learning with Hard Negative Samples

Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty

FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization

How to Construct Deep Recurrent Neural Networks

A survey of loss functions for semantic segmentation

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Large Language Model Reasoning Failures

A review on outlier/anomaly detection in time series data

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases

GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields

QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning

OmniGAIA: Towards Native Omni-Modal AI Agents

LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory

AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security

A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder

Distributed GraphLab: A Framework for Machine Learning in the Cloud

Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey

Revisiting the Platonic Representation Hypothesis: An Aristotelian View

A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security

Trained Ternary Quantization

MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification

UI-Venus-1.5 Technical Report

TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics

Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs

Selective Classification for Deep Neural Networks

A General Theoretical Paradigm to Understand Learning from Human Preferences

FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Deep Kernel Learning

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

Vector Quantized Diffusion Model for Text-to-Image Synthesis

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse

Show Your Work: Scratchpads for Intermediate Computation with Language Models

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Endless Terminals: Scaling RL Environments for Terminal Agents

Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution

Video-to-Video Synthesis

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting

Learning to reinforcement learn

Multitask learning and benchmarking with clinical time series data

Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception

Hindsight Credit Assignment for Long-Horizon LLM Agents

Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning

How Much Knowledge Can You Pack Into the Parameters of a Language Model?

Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep Learning

TS2Vec: Towards Universal Representation of Time Series

Dynamic Filter Networks

Snapshot Ensembles: Train 1, get M for free

Kimi K2.5: Visual Agentic Intelligence

Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes

Towards a Science of AI Agent Reliability

Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation