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)

5,221 to 5,280 of 20,454

CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
Tengyu Xu, Yingbin Liang, Guanghui Lan
cs.LGstat.MLarXiv:2011.05869v32020
Are Diffusion Models Vulnerable to Membership Inference Attacks?
Jinhao Duan, Fei Kong, Shiqi Wang +2
cs.CVcs.AIcs.CRarXiv:2302.01316v22023
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning
Si-Guo Fang, Dong Huang, Xiao-Sha Cai +3
cs.LGcs.AIarXiv:2209.04187v22022
Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts
Leyang Li, Shilin Lu, Yan Ren +1
cs.CVcs.AIcs.CRarXiv:2504.12782v12025
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey
Harrison Kurunathan, Hailong Huang, Kai Li +2
cs.ROcs.CVcs.LGarXiv:2211.04324v12022
Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings
Gargya Gokhale, Bert Claessens, Chris Develder
eess.SPcs.LGeess.SYarXiv:2111.12066v22021
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
Ivan Kapelyukh, Vitalis Vosylius, Edward Johns
cs.ROcs.CVcs.LGarXiv:2210.02438v32022
Knowledge Transfer with Jacobian Matching
Suraj Srinivas, Francois Fleuret
cs.LGcs.CVarXiv:1803.00443v12018
EDGE: Engine for Deterministic Graph Evaluation through Conversation Simulation from Graph Structured DSL Configuration
Ram Kulathumani, Regunathan Radhakrishnan, Anupam Tripathi +5
cs.AIcs.LGarXiv:2608.29971v12026
Transformer-Based Flow Shop Scheduling Using MILP-Generated Training Data
Roderich Wallrath
math.OCcs.LGarXiv:2608.29690v12026
All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning
Gokul Swamy, Sanjiban Choudhury, Wen Sun +2
cs.LGarXiv:2503.01067v22025
Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security
Sanket Badhe, Deep Shah, Priyanka Tiwari +1
cs.AIcs.LGcs.MAarXiv:2608.29596v12026
Adaptive Doubly Robust Off-Policy Evaluation for Ranking Policies under Diverse User Behavior
Kosuke Iguchi, Ren Kishimoto
cs.LGcs.IRarXiv:2608.29600v12026
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Jihong Park, Sumudu Samarakoon, Anis Elgabli +4
cs.LGcs.ITcs.NIarXiv:2008.02608v12020
End-to-End Deep Reinforcement Learning for Lane Keeping Assist
Ahmad El Sallab, Mohammed Abdou, Etienne Perot +1
stat.MLcs.LGcs.ROarXiv:1612.04340v12016
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
Katja Berger, Jochem Verrelst, Jean-Baptiste Féret +4
q-bio.QMcs.LGarXiv:2012.05043v12020
LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches
Linyang He, Qiyao Yu, Hanze Dong +5
cs.CLcs.AIcs.LGarXiv:2604.01754v12026
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Madhura Joshi, Ankit Pal, Malaikannan Sankarasubbu
cs.LGcs.AIcs.CRarXiv:2211.07893v22022
Controlled LLM Training on Spectral Sphere
Tian Xie, Haoming Luo, Haoyu Tang +9
cs.LGcs.AIarXiv:2601.08393v32026
EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation
Siyuan Huang, Liliang Chen, Pengfei Zhou +8
cs.ROcs.CVcs.LGarXiv:2501.01895v32025
Internet-augmented language models through few-shot prompting for open-domain question answering
Angeliki Lazaridou, Elena Gribovskaya, Wojciech Stokowiec +1
cs.CLcs.LGarXiv:2203.05115v22022
A Survey on LoRA of Large Language Models
Yuren Mao, Yuhang Ge, Yijiang Fan +4
cs.LGcs.AIcs.CLarXiv:2407.11046v42024
Multi-Agent Systems Execute Arbitrary Malicious Code
Harold Triedman, Rishi Jha, Vitaly Shmatikov
cs.CRcs.LGarXiv:2503.12188v22025
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking
Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez +1
cs.LGcs.AIstat.MLarXiv:2005.11081v22020
A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers
William Merrill, Ashish Sabharwal
cs.LGcs.CCarXiv:2503.03961v32025
Distributed Deep Learning Using Synchronous Stochastic Gradient Descent
Dipankar Das, Sasikanth Avancha, Dheevatsa Mudigere +5
cs.DCcs.LGarXiv:1602.06709v12016
A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning
Shengdong Du, Tianrui Li, Xun Gong +1
cs.LGeess.SYarXiv:1803.02099v42018
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs
Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari +5
cs.LGcs.AIcs.CLarXiv:2404.08555v22024
Deep Learning and Its Applications to Machine Health Monitoring: A Survey
Rui Zhao, Ruqiang Yan, Zhenghua Chen +3
cs.LGstat.MLarXiv:1612.07640v12016
Recent Advances in Zero-shot Recognition
Yanwei Fu, Tao Xiang, Yu-Gang Jiang +3
cs.CVcs.AIcs.LGarXiv:1710.04837v12017
A Comparative Survey of Recent Natural Language Interfaces for Databases
Katrin Affolter, Kurt Stockinger, Abraham Bernstein
cs.DBcs.CLcs.LGarXiv:1906.08990v12019
Optimization for deep learning: theory and algorithms
Ruoyu Sun
cs.LGmath.OCstat.MLarXiv:1912.08957v12019
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
Bernard Koch, Emily Denton, Alex Hanna +1
cs.LGcs.CLcs.CVarXiv:2112.01716v12021
SkillGen: Verified Inference-Time Agent Skill Synthesis
Yuchen Ma, Yue Huang, Han Bao +5
cs.LGcs.AIcs.MAarXiv:2605.10999v12026
Deception Abilities Emerged in Large Language Models
Thilo Hagendorff
cs.CLcs.AIcs.LGarXiv:2307.16513v22023
DataSciBench: An LLM Agent Benchmark for Data Science
Dan Zhang, Sining Zhoubian, Min Cai +7
cs.CLcs.AIcs.LGarXiv:2502.13897v12025
Deep Learning on FPGAs: Past, Present, and Future
Griffin Lacey, Graham W. Taylor, Shawki Areibi
cs.DCcs.LGstat.MLarXiv:1602.04283v12016
Tiny Machine Learning: Progress and Futures
Ji Lin, Ligeng Zhu, Wei-Ming Chen +2
cs.LGcs.AIcs.CVarXiv:2403.19076v22024
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline
Xvyuan Liu, Xiangfei Qiu, Xingjian Wu +4
cs.LGarXiv:2505.11250v42025
Enhancing Multimodal Emotion Recognition via Multi-Feature Encoding and Attention-Based Fusion
Xu Lin, Ke Wang, Hui Kang +1
cs.CVcs.AIcs.LGarXiv:2609.04690v12026
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan, Liangqiong Qu, Qingyue Wei +5
cs.CVcs.LGarXiv:2205.08576v22022
Fast and Effective On-policy Distillation from Reasoning Prefixes
Dongxu Zhang, Zhichao Yang, Sepehr Janghorbani +6
cs.LGcs.AIarXiv:2602.15260v12026
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
Aditya Pal, Chantat Eksombatchai, Yitong Zhou +3
cs.LGcs.IRcs.SIarXiv:2007.03634v12020
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
Shiming Chen, Guo-Sen Xie, Yang Liu +5
cs.CVcs.LGarXiv:2109.15163v22021
When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning
Xiaogeng Liu, Xinyan Wang, Yingzi Ma +2
cs.LGcs.AIarXiv:2605.21606v12026
Quantum-Assisted Memory-Efficient Training for Parameter-Intensive Wi-Fi-Based Human Activity Recognition
To Truong An, Jie Zhang, Guolin Yin +4
cs.LGarXiv:2609.04271v12026
Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems
Xupeng Miao, Gabriele Oliaro, Zhihao Zhang +4
cs.LGcs.AIcs.DCarXiv:2312.15234v22023
Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
Abhiram Maddukuri, Zhenyu Jiang, Lawrence Yunliang Chen +12
cs.ROcs.AIcs.LGarXiv:2503.24361v22025
Continual Learning via Neural Pruning
Siavash Golkar, Michael Kagan, Kyunghyun Cho
cs.LGcs.NEq-bio.NCarXiv:1903.04476v12019
Policy Learning with Observational Data
Susan Athey, Stefan Wager
math.STcs.LGecon.EMarXiv:1702.02896v62017
Fast Transformers with Clustered Attention
Apoorv Vyas, Angelos Katharopoulos, François Fleuret
cs.LGstat.MLarXiv:2007.04825v22020
Gym-Anything: Turn any Software into an Agent Environment
Pranjal Aggarwal, Graham Neubig, Sean Welleck
cs.LGcs.AIarXiv:2604.06126v12026
One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention
Arvind Mahankali, Tatsunori B. Hashimoto, Tengyu Ma
cs.LGarXiv:2307.03576v12023
Dynamic Heterogeneous Graph Representation Learning: A Survey
Huan Liu, Pengfei Jiao, Jie Yin +2
cs.LGcs.AIcs.SIarXiv:2609.04779v12026
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
Caglar Gulcehre, Kyunghyun Cho, Razvan Pascanu +1
cs.NEcs.LGstat.MLarXiv:1311.1780v72013
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry
Sai Sumedh R. Hindupur, Ekdeep Singh Lubana, Thomas Fel +1
cs.LGcs.AIarXiv:2503.01822v22025
When Does LeJEPA Learn a World Model?
David Klindt, Yann LeCun, Randall Balestriero
stat.MLcs.LGarXiv:2605.26379v12026
Embedding Text in Hyperbolic Spaces
Bhuwan Dhingra, Christopher J. Shallue, Mohammad Norouzi +2
cs.CLcs.LGarXiv:1806.04313v12018
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Jinyin Chen, Jian Zhang, Xuanheng Xu +4
cs.SIcs.LGarXiv:1902.08329v12019
On the Position Bias of On-Policy Distillation
Yan Xie, Sijie Zhu, Tiansheng Wen +2
cs.LGcs.AIarXiv:2606.22600v32026

Machine Learning

CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee

Are Diffusion Models Vulnerable to Membership Inference Attacks?

Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning

Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts

Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey

Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings

DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics

Knowledge Transfer with Jacobian Matching

EDGE: Engine for Deterministic Graph Evaluation through Conversation Simulation from Graph Structured DSL Configuration

Transformer-Based Flow Shop Scheduling Using MILP-Generated Training Data

All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning

Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security

Adaptive Doubly Robust Off-Policy Evaluation for Ranking Policies under Diverse User Behavior

Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications

End-to-End Deep Reinforcement Learning for Lane Keeping Assist

Retrieval of aboveground crop nitrogen content with a hybrid machine learning method

LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches

Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges

Controlled LLM Training on Spectral Sphere

EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation

Internet-augmented language models through few-shot prompting for open-domain question answering

A Survey on LoRA of Large Language Models

Multi-Agent Systems Execute Arbitrary Malicious Code

Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking

A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers

Distributed Deep Learning Using Synchronous Stochastic Gradient Descent

A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning

RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs

Deep Learning and Its Applications to Machine Health Monitoring: A Survey

Recent Advances in Zero-shot Recognition

A Comparative Survey of Recent Natural Language Interfaces for Databases

Optimization for deep learning: theory and algorithms

Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research

SkillGen: Verified Inference-Time Agent Skill Synthesis

Deception Abilities Emerged in Large Language Models

DataSciBench: An LLM Agent Benchmark for Data Science

Deep Learning on FPGAs: Past, Present, and Future

Tiny Machine Learning: Progress and Futures

Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline

Enhancing Multimodal Emotion Recognition via Multi-Feature Encoding and Attention-Based Fusion

Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

Fast and Effective On-policy Distillation from Reasoning Prefixes

PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest

HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning

When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning

Quantum-Assisted Memory-Efficient Training for Parameter-Intensive Wi-Fi-Based Human Activity Recognition

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Continual Learning via Neural Pruning

Policy Learning with Observational Data

Fast Transformers with Clustered Attention

Gym-Anything: Turn any Software into an Agent Environment

One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention

Dynamic Heterogeneous Graph Representation Learning: A Survey

Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks

Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry

When Does LeJEPA Learn a World Model?

Embedding Text in Hyperbolic Spaces

E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction

On the Position Bias of On-Policy Distillation