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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6,001 to 6,060 of 20,454

Cartridges: Lightweight and general-purpose long context representations via self-study
Sabri Eyuboglu, Ryan Ehrlich, Simran Arora +8
cs.CLcs.AIcs.LGarXiv:2506.06266v32025
The Invisible Leash: Why RLVR May or May Not Escape Its Origin
Fang Wu, Weihao Xuan, Ximing Lu +4
cs.LGcs.AIcs.CLarXiv:2507.14843v42025
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
Aritra Mitra, Rayana Jaafar, George J. Pappas +1
cs.LGcs.DCeess.SYarXiv:2102.07053v22021
Design Patterns for Securing LLM Agents against Prompt Injections
Luca Beurer-Kellner, Beat Buesser, Ana-Maria Creţu +11
cs.LGcs.CRarXiv:2506.08837v32025
Towards Understanding Camera Motions in Any Video
Zhiqiu Lin, Siyuan Cen, Daniel Jiang +12
cs.CVcs.AIcs.CLarXiv:2504.15376v22025
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients
Oliver Scheel, Luca Bergamini, Maciej Wołczyk +2
cs.ROcs.AIcs.CVarXiv:2109.13333v12021
Efficient Online Reinforcement Learning for Diffusion Policy
Haitong Ma, Tianyi Chen, Kai Wang +2
cs.LGarXiv:2502.00361v42025
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
Tianbao Xie, Siheng Zhao, Chen Henry Wu +5
cs.LGcs.AIcs.CLarXiv:2309.11489v32023
A feature agnostic approach for glaucoma detection in OCT volumes
Stefan Maetschke, Bhavna Antony, Hiroshi Ishikawa +3
cs.CVcs.LGstat.MLarXiv:1807.04855v42018
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos
Ali Athar, Sabarinath Mahadevan, Aljoša Ošep +2
cs.CVcs.LGeess.IVarXiv:2003.08429v42020
Parametrized quantum policies for reinforcement learning
Sofiene Jerbi, Casper Gyurik, Simon C. Marshall +2
quant-phcs.AIcs.LGarXiv:2103.05577v22021
MedRAX: Medical Reasoning Agent for Chest X-ray
Adibvafa Fallahpour, Jun Ma, Alif Munim +2
cs.LGcs.AIcs.MAarXiv:2502.02673v22025
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
Yifan Hu, Guibin Zhang, Peiyuan Liu +6
cs.LGarXiv:2501.13041v22025
Character-Level Question Answering with Attention
David Golub, Xiaodong He
cs.CLcs.AIcs.LGarXiv:1604.00727v42016
Dense Extreme Inception Network for Edge Detection
Xavier Soria, Angel Sappa, Patricio Humanante +1
cs.CVcs.LGarXiv:2112.02250v22021
Outcome-based Exploration for LLM Reasoning
Yuda Song, Julia Kempe, Remi Munos
cs.LGcs.CLarXiv:2509.06941v12025
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Jiachen T. Wang, Ruoxi Jia
cs.LGcs.GTstat.MLarXiv:2205.15466v72022
Generating 3D Molecules for Target Protein Binding
Meng Liu, Youzhi Luo, Kanji Uchino +2
q-bio.BMcs.AIcs.LGarXiv:2204.09410v22022
SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning
Guangyuan Wang, Mads Toftrup, Sebastian Loeschcke +2
cs.LGcs.AImath.OCarXiv:2608.29448v12026
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
David Berthelot, Rebecca Roelofs, Kihyuk Sohn +2
cs.LGcs.AIcs.CVarXiv:2106.04732v22021
Position Focused Attention Network for Image-Text Matching
Yaxiong Wang, Hao Yang, Xueming Qian +4
cs.CLcs.IRcs.LGarXiv:1907.09748v12019
EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
Xiaoshuai Song, Haofei Chang, Guanting Dong +3
cs.CLcs.AIcs.LGarXiv:2601.05808v22026
Self-Adaptive Hierarchical Sentence Model
Han Zhao, Zhengdong Lu, Pascal Poupart
cs.CLcs.LGcs.NEarXiv:1504.05070v22015
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
Siru Zhong, Weilin Ruan, Ming Jin +3
cs.CVcs.LGarXiv:2502.04395v22025
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics
Johannes Ackermann, Volker Gabler, Takayuki Osa +1
cs.LGcs.AIcs.MAarXiv:1910.01465v22019
Temporal Query Network for Efficient Multivariate Time Series Forecasting
Shengsheng Lin, Haojun Chen, Haijie Wu +2
cs.LGarXiv:2505.12917v22025
On the convergence of single-call stochastic extra-gradient methods
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick +1
math.OCcs.GTcs.LGarXiv:1908.08465v22019
Are DeepSeek R1 And Other Reasoning Models More Faithful?
James Chua, Owain Evans
cs.LGarXiv:2501.08156v52025
Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought
Hanlin Zhu, Shibo Hao, Zhiting Hu +3
cs.LGarXiv:2505.12514v32025
Instance Credibility Inference for Few-Shot Learning
Yikai Wang, Chengming Xu, Chen Liu +2
cs.CVcs.LGarXiv:2003.11853v22020
AgentProv: Auditing Agentic LLM API Providers via Tool-use Policy Probes
Xun Wang, Bihe Zhao, Michael Backes +2
cs.CRcs.CLcs.LGarXiv:2609.00052v12026
Regularizing Generative Adversarial Networks under Limited Data
Hung-Yu Tseng, Lu Jiang, Ce Liu +2
cs.LGcs.CVarXiv:2104.03310v12021
Textless Speech-to-Speech Translation on Real Data
Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne +8
cs.CLcs.AIcs.LGarXiv:2112.08352v22021
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method
Shahed Rezaei, Ali Harandi, Ahmad Moeineddin +2
cs.CEcs.LGarXiv:2206.13103v12022
Deep Learning with Label Differential Privacy
Badih Ghazi, Noah Golowich, Ravi Kumar +2
cs.LGcs.DSarXiv:2102.06062v22021
Fast Algorithms for Online Stochastic Convex Programming
Shipra Agrawal, Nikhil R. Devanur
cs.LGcs.DSmath.OCarXiv:1410.7596v12014
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
Yuqing Hu, Vincent Gripon, Stéphane Pateux
cs.LGstat.MLarXiv:2006.03806v32020
Scientific Machine Learning Benchmarks
Jeyan Thiyagalingam, Mallikarjun Shankar, Geoffrey Fox +1
cs.LGphysics.comp-pharXiv:2110.12773v12021
Radiological images and machine learning: trends, perspectives, and prospects
Zhenwei Zhang, Ervin Sejdic
eess.IVcs.LGarXiv:1903.11726v12019
Do LLMs Know Your Neighborhood? Auditing LLM Priors for Neighborhood-Level Mobility Prediction and Structural Alignment
Saad Mohammad Abrar, Eesha Kurella, Arnav Dadarya +3
cs.LGcs.CYarXiv:2609.00345v12026
Global disease monitoring and forecasting with Wikipedia
Nicholas Generous, Geoffrey Fairchild, Alina Deshpande +2
cs.SIcs.LGphysics.soc-pharXiv:1405.3612v22014
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
Triet H. M. Le, Hao Chen, M. Ali Babar
cs.SEcs.AIcs.LGarXiv:2002.05442v12020
Near Optimal Behavior via Approximate State Abstraction
David Abel, D. Ellis Hershkowitz, Michael L. Littman
cs.LGcs.AIarXiv:1701.04113v12017
Reinforcing General Reasoning without Verifiers
Xiangxin Zhou, Zichen Liu, Anya Sims +6
cs.LGcs.CLarXiv:2505.21493v12025
Iterative Normalization: Beyond Standardization towards Efficient Whitening
Lei Huang, Yi Zhou, Fan Zhu +2
cs.CVcs.LGarXiv:1904.03441v12019
Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
Haozhen Zhang, Tao Feng, Jiaxuan You
cs.CLcs.AIcs.LGarXiv:2506.09033v32025
Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors
Runxi Cheng, Feng Xiong, Yongxian Wei +2
cs.LGarXiv:2503.08099v22025
Convergence of Gradient Descent on Separable Data
Mor Shpigel Nacson, Jason D. Lee, Suriya Gunasekar +3
stat.MLcs.LGarXiv:1803.01905v32018
Rethinking embedding coupling in pre-trained language models
Hyung Won Chung, Thibault Févry, Henry Tsai +2
cs.CLcs.LGarXiv:2010.12821v12020
NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems
Sarmistha Sarna Gomasta, Bhawana Chhaglani, Prashant Shenoy
cs.CRcs.HCcs.LGarXiv:2609.00390v12026
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
Thinh Pham, Nguyen Nguyen, Pratibha Zunjare +3
cs.CLcs.AIcs.LGarXiv:2506.01062v42025
Incorporating Domain Knowledge into Deep Neural Networks
Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja +1
cs.NEcs.AIcs.LGarXiv:2103.00180v22021
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Guy Hacohen, Avihu Dekel, Daphna Weinshall
cs.LGarXiv:2202.02794v42022
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
NVIDIA, :, Aaron Blakeman +198
cs.CLcs.AIcs.LGarXiv:2504.03624v42025
Neural Prompt Search
Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
cs.CVcs.AIcs.LGarXiv:2206.04673v22022
Multi-fidelity Bayesian Neural Networks: Algorithms and Applications
Xuhui Meng, Hessam Babaee, George Em Karniadakis
cs.LGphysics.comp-pharXiv:2012.13294v12020
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
Quy-Anh Dang, Chris Ngo
cs.LGcs.CLarXiv:2503.16219v22025
Benchmarking Reinforcement Learning Algorithms on Real-World Robots
A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan +2
cs.LGcs.AIcs.ROarXiv:1809.07731v12018
DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction
Weiran Wang, Xintong Huo, Yueying Wang +7
cs.LGcs.AIcs.ETarXiv:2609.00059v12026
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
Bertie Vidgen, Tristan Thrush, Zeerak Waseem +1
cs.CLcs.LGarXiv:2012.15761v22020

Machine Learning

Cartridges: Lightweight and general-purpose long context representations via self-study

The Invisible Leash: Why RLVR May or May Not Escape Its Origin

Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients

Design Patterns for Securing LLM Agents against Prompt Injections

Towards Understanding Camera Motions in Any Video

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients

Efficient Online Reinforcement Learning for Diffusion Policy

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning

A feature agnostic approach for glaucoma detection in OCT volumes

STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos

Parametrized quantum policies for reinforcement learning

MedRAX: Medical Reasoning Agent for Chest X-ray

TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting

Character-Level Question Answering with Attention

Dense Extreme Inception Network for Edge Detection

Outcome-based Exploration for LLM Reasoning

Data Banzhaf: A Robust Data Valuation Framework for Machine Learning

Generating 3D Molecules for Target Protein Binding

SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning

AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation

Position Focused Attention Network for Image-Text Matching

EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis

Self-Adaptive Hierarchical Sentence Model

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics

Temporal Query Network for Efficient Multivariate Time Series Forecasting

On the convergence of single-call stochastic extra-gradient methods

Are DeepSeek R1 And Other Reasoning Models More Faithful?

Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought

Instance Credibility Inference for Few-Shot Learning

AgentProv: Auditing Agentic LLM API Providers via Tool-use Policy Probes

Regularizing Generative Adversarial Networks under Limited Data

Textless Speech-to-Speech Translation on Real Data

A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method

Deep Learning with Label Differential Privacy

Fast Algorithms for Online Stochastic Convex Programming

Leveraging the Feature Distribution in Transfer-based Few-Shot Learning

Scientific Machine Learning Benchmarks

Radiological images and machine learning: trends, perspectives, and prospects

Do LLMs Know Your Neighborhood? Auditing LLM Priors for Neighborhood-Level Mobility Prediction and Structural Alignment

Global disease monitoring and forecasting with Wikipedia

Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges

Near Optimal Behavior via Approximate State Abstraction

Reinforcing General Reasoning without Verifiers

Iterative Normalization: Beyond Standardization towards Efficient Whitening

Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning

Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors

Convergence of Gradient Descent on Separable Data

Rethinking embedding coupling in pre-trained language models

NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems

SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models

Incorporating Domain Knowledge into Deep Neural Networks

Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models

Neural Prompt Search

Multi-fidelity Bayesian Neural Networks: Algorithms and Applications

Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Benchmarking Reinforcement Learning Algorithms on Real-World Robots

DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction

Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection