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)

22,981 to 23,040 of 33,227

What's a Credit Worth? A Market Framework for Attribution-Aware Compensation in Generative Music
Luyang Zhang, Xirui Jiang, Junwei Deng +3
cs.CYcs.LGarXiv:2607.00641v12026
Simplicial Neural Networks
Stefania Ebli, Michaël Defferrard, Gard Spreemann
cs.LGmath.ATstat.MLarXiv:2010.03633v22020
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
Linnan Wang, Jinmian Ye, Yiyang Zhao +5
cs.DCcs.LGarXiv:1801.04380v12018
Incremental Few-Shot Learning with Attention Attractor Networks
Mengye Ren, Renjie Liao, Ethan Fetaya +1
cs.LGcs.CVstat.MLarXiv:1810.07218v32018
Online Alternating Direction Method
Huahua Wang, Arindam Banerjee
cs.LGstat.MLarXiv:1206.6448v12012
End-to-End Retrieval in Continuous Space
Daniel Gillick, Alessandro Presta, Gaurav Singh Tomar
cs.IRcs.CLcs.LGarXiv:1811.08008v12018
Learning to Inject: Automated Prompt Injection via Reinforcement Learning
Xin Chen, Jie Zhang, Florian Tramèr
cs.LGcs.AIarXiv:2602.05746v22026
Global convergence of splitting methods for nonconvex composite optimization
Guoyin Li, Ting Kei Pong
math.OCcs.LGmath.NAarXiv:1407.0753v62014
Lightweight Multi-scale Hierarchical Anomaly Detection and Localization for Geospatial Big Data Applications at the Edge
Thomas Benton Townsend, Joshua Bean, Benjamin K Tkach +2
eess.SPcs.LGeess.SYarXiv:2608.22648v12026
Generalization and Exploration via Randomized Value Functions
Ian Osband, Benjamin Van Roy, Zheng Wen
stat.MLcs.AIcs.LGarXiv:1402.0635v32014
Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling
Yucheng Li, Huiqiang Jiang, Yang Xu +14
cs.LGcs.CLarXiv:2606.12370v12026
On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions
Francis Bach
cs.LGmath.NAstat.MLarXiv:1502.06800v22015
Deep Joint Source-Channel Coding for Wireless Image Transmission
Eirina Bourtsoulatze, David Burth Kurka, Deniz Gunduz
cs.ITcs.LGeess.SParXiv:1809.01733v42018
Large Language Models for Time Series: A Survey
Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta +1
cs.LGcs.AIcs.CLarXiv:2402.01801v32024
Deep Learning Recommendation Model for Personalization and Recommendation Systems
Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi +21
cs.IRcs.LGarXiv:1906.00091v12019
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín +3
cs.CVcs.LGarXiv:1907.03395v22019
What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
Yixin Nie, Xiang Zhou, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:2010.03532v22020
TSMixer: An All-MLP Architecture for Time Series Forecasting
Si-An Chen, Chun-Liang Li, Nate Yoder +2
cs.LGcs.AIarXiv:2303.06053v52023
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
Kevin Chen, Christopher B. Choy, Manolis Savva +3
cs.CVcs.AIcs.GRarXiv:1803.08495v12018
ORDDAR: Observation-Driven Reasoning for Distortion-Resilient Decision, Action, and Cognitive Recovery
Deblina Kar, Anant Nawalgaria, Shyamal Kumar Das Mandal
cs.AIcs.LGarXiv:2608.28704v12026
AsyncVLA: An Asynchronous VLA for Fast and Robust Navigation on the Edge
Noriaki Hirose, Catherine Glossop, Dhruv Shah +1
cs.ROcs.LGarXiv:2602.13476v12026
UER: An Open-Source Toolkit for Pre-training Models
Zhe Zhao, Hui Chen, Jinbin Zhang +7
cs.CLcs.LGarXiv:1909.05658v12019
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning
Kamal Berahmand, Farid Saberi-Movahed, Razieh Sheikhpour +2
cs.LGarXiv:2501.13597v22025
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
Ségolène Martin, Anne Gagneux, Paul Hagemann +1
cs.CVcs.LGarXiv:2410.02423v32024
Conservative Objective Models for Effective Offline Model-Based Optimization
Brandon Trabucco, Aviral Kumar, Xinyang Geng +1
cs.LGarXiv:2107.06882v12021
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination
Nathan Kallus, Xiaojie Mao, Angela Zhou
stat.MLcs.LGmath.OCarXiv:1906.00285v22019
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Sergey Levine
cs.LGcs.AIcs.ROarXiv:1805.00909v32018
Convergent Linear Representations of Emergent Misalignment
Anna Soligo, Edward Turner, Senthooran Rajamanoharan +1
cs.LGcs.AIarXiv:2506.11618v22025
End-to-End Test-Time Training for Long Context
Arnuv Tandon, Karan Dalal, Xinhao Li +11
cs.LGarXiv:2512.23675v22025
Robust XGBoosting for Regression
Iris Aragón Mladosich, Christophe Croux
cs.LGstat.COstat.MLarXiv:2608.13590v12026
Learning reveals invisible structure in low-rank RNNs
Yoav Ger, Omri Barak
cs.LGcs.AIq-bio.NCarXiv:2605.04115v12026
Tucker Attention: A generalization of approximate attention mechanisms
Timon Klein, Jonas Kusch, Sebastian Sager +2
cs.LGcs.AIarXiv:2603.30033v12026
Self-Distillation Enables Continual Learning
Idan Shenfeld, Mehul Damani, Jonas Hübotter +1
cs.LGarXiv:2601.19897v22026
Summaries:한국어
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
Chaoning Zhang, Chenshuang Zhang, Sheng Zheng +14
cs.AIcs.CVcs.LGarXiv:2303.11717v12023
Towards Robust Neural Networks via Random Self-ensemble
Xuanqing Liu, Minhao Cheng, Huan Zhang +1
cs.LGcs.CRstat.MLarXiv:1712.00673v22017
Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
Dhruv Tiwari
cs.LGarXiv:2512.22200v12025
Diffusion-TS: Interpretable Diffusion for General Time Series Generation
Xinyu Yuan, Yan Qiao
cs.LGcs.AIarXiv:2403.01742v32024
Learning consistent molecular mechanics force fields from first principles
Berkay Günes, Leif Seute, Jigyasa Nigam +1
physics.chem-phcs.LGphysics.comp-pharXiv:2610.08020v12026
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Huaxiu Yao, Caroline Choi, Bochuan Cao +3
cs.LGarXiv:2211.14238v22022
Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
Xu Wang, Chenkai Xu, Yijie Jin +3
cs.LGcs.AIarXiv:2508.09192v12025
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
Xuan Li, Yi-Ling Qiao, Peter Yichen Chen +4
cs.CVcs.AIcs.GRarXiv:2303.05512v12023
An Information Theoretic Perspective on Agentic System Design
Shizhe He, Avanika Narayan, Ishan S. Khare +3
cs.LGcs.AIcs.CLarXiv:2512.21720v12025
Unlabeled Data Improves Adversarial Robustness
Yair Carmon, Aditi Raghunathan, Ludwig Schmidt +2
stat.MLcs.CVcs.LGarXiv:1905.13736v42019
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation
Ashvin Nair, Dian Chen, Pulkit Agrawal +4
cs.CVcs.LGcs.ROarXiv:1703.02018v12017
Spawn Freely, Act Sparingly: Progressive Risk Vesting for Recursive LLM-Agent Trees
Molly Wang
cs.AIcs.LGmath.PRarXiv:2609.01035v12026
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Roberta Raileanu, Emily Denton, Arthur Szlam +1
cs.AIcs.LGarXiv:1802.09640v32018
Derivative-Informed Training of Neural Operators On-the-Fly via Sketched Tangent Consistency
Xinhan Yang, Lu Lu, Shancong Mou
cs.LGarXiv:2609.32797v12026
D-PACE: Dynamic Position-Aware Cross-Entropy for Parallel Speculative Drafting
Tianyu Wu, Yu Yao, Zhenting Qi +7
cs.LGcs.AIarXiv:2605.18810v12026
Deep Transfer Learning for Source Code Modeling
Yasir Hussain, Zhiqiu Huang, Yu Zhou +1
cs.LGcs.NEcs.SEarXiv:1910.05493v22019
The Art of Hierarchical Competing Patterns: Gaussian Process Optimization of Hyphenation
Ondřej Sojka, Petr Sojka
cs.CLcs.DLcs.LGarXiv:2609.07638v12026
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data
Qian Lou, Lei Jiang
cs.CRcs.LGarXiv:1906.00148v22019
Decoupled Contrastive Learning
Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu +3
cs.LGcs.CVarXiv:2110.06848v32021
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
Daniel S. Brown, Russell Coleman, Ravi Srinivasan +1
cs.LGstat.MLarXiv:2002.09089v42020
Agentic Scaffolding Amplifies Sycophantic Behavior in Large Language Models
Thantham Jittham
cs.CLcs.AIcs.LGarXiv:2608.21377v12026
Why Do Reasoning Models Lose Coverage? The Role of Data and Forks in the Road
Ngoc-Hieu Nguyen, Parshin Shojaee, Phuc Minh Nguyen +4
cs.LGarXiv:2605.17026v12026
Robust Discovery of Coarse-Grained Continuum Equations from Microscopic Dynamics
Partha Sarathi Mondal, Manav Kumar Jalan, Anish Kumar +1
cond-mat.softcond-mat.stat-mechcs.LGarXiv:2608.20404v12026
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning
Nai-Hui Chia, András Gilyén, Tongyang Li +3
cs.DScs.LGquant-pharXiv:1910.06151v42019
CoVeR: Coverage-Based Token Pruning for Multi-View 3D Reasoning in VLMs
Nhat-Tan Bui, Varshini Elangovan, Arun Reddy Anugu +7
cs.CVcs.LGarXiv:2609.08345v12026
Sparse neural networks with large learning diversity
Vincent Gripon, Claude Berrou
cs.LGcs.DSarXiv:1102.4240v12011
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
Souhaib Ben Taieb, Gianluca Bontempi, Amir Atiya +1
stat.MLcs.AIcs.LGarXiv:1108.3259v12011

Machine Learning

What's a Credit Worth? A Market Framework for Attribution-Aware Compensation in Generative Music

Simplicial Neural Networks

SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks

Incremental Few-Shot Learning with Attention Attractor Networks

Online Alternating Direction Method

End-to-End Retrieval in Continuous Space

Learning to Inject: Automated Prompt Injection via Reinforcement Learning

Global convergence of splitting methods for nonconvex composite optimization

Lightweight Multi-scale Hierarchical Anomaly Detection and Localization for Geospatial Big Data Applications at the Edge

Generalization and Exploration via Randomized Value Functions

Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling

On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions

Deep Joint Source-Channel Coding for Wireless Image Transmission

Large Language Models for Time Series: A Survey

Deep Learning Recommendation Model for Personalization and Recommendation Systems

Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks

What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

TSMixer: An All-MLP Architecture for Time Series Forecasting

Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings

ORDDAR: Observation-Driven Reasoning for Distortion-Resilient Decision, Action, and Cognitive Recovery

AsyncVLA: An Asynchronous VLA for Fast and Robust Navigation on the Edge

UER: An Open-Source Toolkit for Pre-training Models

A Comprehensive Survey on Spectral Clustering with Graph Structure Learning

PnP-Flow: Plug-and-Play Image Restoration with Flow Matching

Conservative Objective Models for Effective Offline Model-Based Optimization

Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination

Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

Convergent Linear Representations of Emergent Misalignment

End-to-End Test-Time Training for Long Context

Robust XGBoosting for Regression

Learning reveals invisible structure in low-rank RNNs

Tucker Attention: A generalization of approximate attention mechanisms

Self-Distillation Enables Continual Learning

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

Towards Robust Neural Networks via Random Self-ensemble

Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents

Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Learning consistent molecular mechanics force fields from first principles

Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time

Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing

PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification

An Information Theoretic Perspective on Agentic System Design

Unlabeled Data Improves Adversarial Robustness

Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation

Spawn Freely, Act Sparingly: Progressive Risk Vesting for Recursive LLM-Agent Trees

Modeling Others using Oneself in Multi-Agent Reinforcement Learning

Derivative-Informed Training of Neural Operators On-the-Fly via Sketched Tangent Consistency

D-PACE: Dynamic Position-Aware Cross-Entropy for Parallel Speculative Drafting

Deep Transfer Learning for Source Code Modeling

The Art of Hierarchical Competing Patterns: Gaussian Process Optimization of Hyphenation

SHE: A Fast and Accurate Deep Neural Network for Encrypted Data

Decoupled Contrastive Learning

Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences

Agentic Scaffolding Amplifies Sycophantic Behavior in Large Language Models

Why Do Reasoning Models Lose Coverage? The Role of Data and Forks in the Road

Robust Discovery of Coarse-Grained Continuum Equations from Microscopic Dynamics

Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning

CoVeR: Coverage-Based Token Pruning for Multi-View 3D Reasoning in VLMs

Sparse neural networks with large learning diversity

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition