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)

6,541 to 6,600 of 20,205

Domain and Function: A Dual-Space Model of Semantic Relations and Compositions
Peter D. Turney
cs.CLcs.AIcs.LGarXiv:1309.4035v12013
Higher Structures in Deep Learning
Michael L. Roberts, Carlos Zapata Carratalá. Nicholas J. Cooper, Lijun Chen +2
cs.LGcs.AIarXiv:2609.00472v12026
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang, Jiawei Li, Xiaoming Shi +6
cs.LGcs.AIarXiv:2410.16032v52024
Accelerating Chemical Kinetics for Exoplanet Atmospheres using Neural Networks
Isaac Malsky, Xi Zhang, Tiffany Kataria +5
astro-ph.EPcs.LGarXiv:2609.00428v12026
Flow Matching Policy Gradients
David McAllister, Songwei Ge, Brent Yi +5
cs.LGcs.ROarXiv:2507.21053v22025
Scaling Reasoning Efficiently via Relaxed On-Policy Distillation
Jongwoo Ko, Sara Abdali, Young Jin Kim +2
cs.LGcs.CLarXiv:2603.11137v12026
Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable
Tiansheng Huang, Sihao Hu, Fatih Ilhan +4
cs.CRcs.AIcs.LGarXiv:2503.00555v22025
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
Elise van der Pol, Daniel E. Worrall, Herke van Hoof +2
cs.LGstat.MLarXiv:2006.16908v22020
BREEDS: Benchmarks for Subpopulation Shift
Shibani Santurkar, Dimitris Tsipras, Aleksander Madry
cs.CVcs.LGstat.MLarXiv:2008.04859v12020
Gated Transformer Networks for Multivariate Time Series Classification
Minghao Liu, Shengqi Ren, Siyuan Ma +4
cs.LGarXiv:2103.14438v12021
PAC Bounds for Discounted MDPs
Tor Lattimore, Marcus Hutter
cs.LGarXiv:1202.3890v12012
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
Vadim Popov, Ivan Vovk, Vladimir Gogoryan +3
cs.SDcs.LGstat.MLarXiv:2109.13821v22021
Learning Robust Visual-Semantic Embeddings
Yao-Hung Hubert Tsai, Liang-Kang Huang, Ruslan Salakhutdinov
cs.CVcs.CLcs.LGarXiv:1703.05908v22017
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks
Gauthier Gidel, Francis Bach, Simon Lacoste-Julien
cs.LGmath.OCstat.MLarXiv:1904.13262v22019
Colorization Transformer
Manoj Kumar, Dirk Weissenborn, Nal Kalchbrenner
cs.CVcs.AIcs.LGarXiv:2102.04432v22021
Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté +2
stat.MLcs.LGarXiv:1711.05411v22017
Open Problems in Mechanistic Interpretability
Lee Sharkey, Bilal Chughtai, Joshua Batson +26
cs.LGarXiv:2501.16496v12025
Self-Supervised Policy Adaptation during Deployment
Nicklas Hansen, Rishabh Jangir, Yu Sun +5
cs.LGcs.CVcs.ROarXiv:2007.04309v32020
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss
Nicholas Frosst, Nicolas Papernot, Geoffrey Hinton
stat.MLcs.LGarXiv:1902.01889v12019
Quantifying social organization and political polarization in online platforms
Isaac Waller, Ashton Anderson
cs.SIcs.AIcs.CYarXiv:2010.00590v32020
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
X. Y. Han, Vardan Papyan, David L. Donoho
cs.LGcs.AImath.DGarXiv:2106.02073v42021
VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild
Puyuan Peng, Po-Yao Huang, Shang-Wen Li +2
eess.AScs.AIcs.CLarXiv:2403.16973v32024
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
Shengsheng Lin, Weiwei Lin, Xinyi Hu +3
cs.LGarXiv:2409.18479v22024
Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
Anthony Liang, Yigit Korkmaz, Jiahui Zhang +14
cs.ROcs.AIcs.LGarXiv:2603.02115v22026
Conditional Affordance Learning for Driving in Urban Environments
Axel Sauer, Nikolay Savinov, Andreas Geiger
cs.ROcs.LGeess.SYarXiv:1806.06498v32018
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
NVIDIA, :, Aaron Blakeman +311
cs.CLcs.AIcs.LGarXiv:2512.20848v12025
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
Zhepei Wei, Wenlin Yao, Yao Liu +9
cs.CLcs.LGarXiv:2505.16421v22025
DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning
Milad Nasr, Alireza Bahramali, Amir Houmansadr
cs.CRcs.LGarXiv:1808.07285v12018
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
Andreas Auer, Patrick Podest, Daniel Klotz +3
cs.LGarXiv:2505.23719v22025
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters
Shengsheng Lin, Weiwei Lin, Wentai Wu +2
cs.LGarXiv:2405.00946v22024
Sponge Examples: Energy-Latency Attacks on Neural Networks
Ilia Shumailov, Yiren Zhao, Daniel Bates +3
cs.LGcs.CLcs.CRarXiv:2006.03463v22020
Training Agents Inside of Scalable World Models
Danijar Hafner, Wilson Yan, Timothy Lillicrap
cs.AIcs.LGcs.ROarXiv:2509.24527v12025
The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm
Noah Amsel, David Persson, Christopher Musco +1
cs.LGcs.AIcs.CLarXiv:2505.16932v52025
SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
Adam Karvonen, Can Rager, Johnny Lin +12
cs.LGcs.CLarXiv:2503.09532v42025
Understanding plasticity in neural networks
Clare Lyle, Zeyu Zheng, Evgenii Nikishin +3
cs.LGarXiv:2303.01486v42023
Programming Refusal with Conditional Activation Steering
Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy +4
cs.LGcs.AIcs.CLarXiv:2409.05907v32024
Controllable Image Captioning with Prompt-Conditioned Scene Rewards
Jongyeop Hyun, Taeyoung Kim, Hyounghun Kim
cs.CVcs.CLcs.LGarXiv:2609.00709v12026
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
Anurag Ajay, Aviral Kumar, Pulkit Agrawal +2
cs.LGarXiv:2010.13611v32020
Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
Qianhao Yuan, Jie Lou, Xing Yu +4
cs.CVcs.AIcs.CLarXiv:2605.18740v42026
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures
Dan Hendrycks, Andy Zou, Mantas Mazeika +4
cs.LGcs.CVarXiv:2112.05135v32021
GOOD: A Graph Out-of-Distribution Benchmark
Shurui Gui, Xiner Li, Limei Wang +1
cs.LGcs.AIarXiv:2206.08452v22022
REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
Yassine El Ouahidi, Jonathan Lys, Philipp Thölke +5
cs.LGq-bio.NCarXiv:2510.21585v12025
Deep Exemplar-based Video Colorization
Bo Zhang, Mingming He, Jing Liao +4
cs.CVcs.AIcs.LGarXiv:1906.09909v12019
Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts
Haizhong Zheng, Yang Zhou, Brian R. Bartoldson +4
cs.AIcs.LGarXiv:2506.02177v12025
FILM: Following Instructions in Language with Modular Methods
So Yeon Min, Devendra Singh Chaplot, Pradeep Ravikumar +2
cs.CLcs.LGarXiv:2110.07342v32021
TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate
Amir Zandieh, Majid Daliri, Majid Hadian +1
cs.LGcs.AIcs.DBarXiv:2504.19874v12025
Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration
Abhishek Gupta, Clemens Eppner, Sergey Levine +1
cs.LGcs.ROarXiv:1603.06348v32016
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting
Ling Chen, Donghui Chen, Zongjiang Shang +4
cs.LGarXiv:2201.04828v22022
Group Adaptive Clipping Policy Optimization
Sheng Jia, Xiao Wang, Shiva Prasad Kasiviswanathan +1
cs.LGcs.CLarXiv:2609.00444v12026
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
Wei Xiong, Jiarui Yao, Yuhui Xu +8
cs.LGcs.AIcs.CLarXiv:2504.11343v22025
dLLM: Simple Diffusion Language Modeling
Zhanhui Zhou, Lingjie Chen, Hanghang Tong +1
cs.CLcs.AIcs.LGarXiv:2602.22661v12026
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
Rulin Shao, Akari Asai, Shannon Zejiang Shen +18
cs.CLcs.AIcs.LGarXiv:2511.19399v32025
Towards Understanding Regularization in Batch Normalization
Ping Luo, Xinjiang Wang, Wenqi Shao +1
cs.LGcs.CVeess.SYarXiv:1809.00846v42018
Learning to Win by Reading Manuals in a Monte-Carlo Framework
S. R. K. Branavan, David Silver, Regina Barzilay
cs.CLcs.AIcs.LGarXiv:1401.5390v12014
Understanding graph embedding methods and their applications
Mengjia Xu
cs.LGcs.ITcs.SIarXiv:2012.08019v12020
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin, Yaxuan Kong, Yuxuan Liang +13
cs.LGcs.AIarXiv:2310.10196v32023
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou, Haixia Zheng, Xin Huang +3
cs.LGarXiv:2012.08752v42020
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao, Tianpei Yang, Hongyao Tang +5
cs.AIcs.LGcs.MAarXiv:2109.06668v62021
Bandwidth-Agile Image Transmission with Deep Joint Source-Channel Coding
David Burth Kurka, Deniz Gündüz
cs.ITcs.LGeess.IVarXiv:2009.12480v22020
Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants
Lorenzo Gigoni, Alessandro Betti, Emanuele Crisostomi +4
cs.LGstat.MLarXiv:1903.06800v12019

Machine Learning

Domain and Function: A Dual-Space Model of Semantic Relations and Compositions

Higher Structures in Deep Learning

TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis

Accelerating Chemical Kinetics for Exoplanet Atmospheres using Neural Networks

Flow Matching Policy Gradients

Scaling Reasoning Efficiently via Relaxed On-Policy Distillation

Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable

MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning

BREEDS: Benchmarks for Subpopulation Shift

Gated Transformer Networks for Multivariate Time Series Classification

PAC Bounds for Discounted MDPs

Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme

Learning Robust Visual-Semantic Embeddings

Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks

Colorization Transformer

Z-Forcing: Training Stochastic Recurrent Networks

Open Problems in Mechanistic Interpretability

Self-Supervised Policy Adaptation during Deployment

Analyzing and Improving Representations with the Soft Nearest Neighbor Loss

Quantifying social organization and political polarization in online platforms

Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path

VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild

CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns

Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons

Conditional Affordance Learning for Driving in Urban Environments

Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning

DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning

TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning

SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters

Sponge Examples: Energy-Latency Attacks on Neural Networks

Training Agents Inside of Scalable World Models

The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm

SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability

Understanding plasticity in neural networks

Programming Refusal with Conditional Activation Steering

Controllable Image Captioning with Prompt-Conditioned Scene Rewards

OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning

Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation

PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures

GOOD: A Graph Out-of-Distribution Benchmark

REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects

Deep Exemplar-based Video Colorization

Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts

FILM: Following Instructions in Language with Modular Methods

TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate

Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration

Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting

Group Adaptive Clipping Policy Optimization

A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce

dLLM: Simple Diffusion Language Modeling

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Towards Understanding Regularization in Batch Normalization

Learning to Win by Reading Manuals in a Monte-Carlo Framework

Understanding graph embedding methods and their applications

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Graph Neural Networks: Taxonomy, Advances and Trends

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

Bandwidth-Agile Image Transmission with Deep Joint Source-Channel Coding

Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants