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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28,381 to 28,440 of 33,062

An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
Stephen R. Pfohl, Agata Foryciarz, Nigam H. Shah
stat.MLcs.CYcs.LGarXiv:2007.10306v32020
Optimization of Molecules via Deep Reinforcement Learning
Zhenpeng Zhou, Steven Kearnes, Li Li +2
cs.LGcs.AIstat.MLarXiv:1810.08678v32018
Learning High-Risk High-Precision Motion Control
Nam Hee Kim, Markus Kirjonen, Perttu Hämäläinen
cs.LGcs.ROarXiv:2609.34851v12026
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Lei Chen, Le Wu, Richang Hong +2
cs.IRcs.LGstat.MLarXiv:2001.10167v12020
Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research
AKM Bahalul Haque, A. K. M. Najmul Islam, Patrick Mikalef
cs.AIcs.LGarXiv:2211.15343v12022
Fine-grained Sentiment Classification using BERT
Manish Munikar, Sushil Shakya, Aakash Shrestha
cs.CLcs.LGstat.MLarXiv:1910.03474v12019
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model
Paul Christiano, Zain Shah, Igor Mordatch +5
cs.ROcs.AIcs.LGarXiv:1610.03518v12016
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion
Christos Kyrkou, Theocharis Theocharides
cs.CVcs.LGcs.ROarXiv:2104.14006v12021
Capturing the Complexity of Human Strategic Decision-Making with Machine Learning
Jian-Qiao Zhu, Joshua C. Peterson, Benjamin Enke +1
econ.GNcs.GTcs.LGarXiv:2408.07865v12024
Cosmos 3: Omnimodal World Models for Physical AI
NVIDIA, :, Aditi +293
cs.CVcs.AIcs.LGarXiv:2606.02800v42026
Bike Flow Prediction with Multi-Graph Convolutional Networks
Di Chai, Leye Wang, Qiang Yang
cs.LGcs.AIstat.MLarXiv:1807.10934v12018
Change the Product, Keep the Parameters: Associative Algebra Layers for Transformers
Ilya Koziev, Ivan Oseledets
cs.LGcs.PFarXiv:2609.32814v12026
Ask the GRU: Multi-Task Learning for Deep Text Recommendations
Trapit Bansal, David Belanger, Andrew McCallum
stat.MLcs.CLcs.LGarXiv:1609.02116v22016
Pseudo-likelihood methods for community detection in large sparse networks
Arash A. Amini, Aiyou Chen, Peter J. Bickel +1
cs.SIcs.LGmath.STarXiv:1207.2340v32012
The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
Pengrui Han, Rafal Kocielnik, Peiyang Song +4
cs.AIcs.CLcs.CYarXiv:2509.03730v22025
Supervising strong learners by amplifying weak experts
Paul Christiano, Buck Shlegeris, Dario Amodei
cs.LGcs.AIstat.MLarXiv:1810.08575v12018
Neural Ordinary Differential Equations
Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt +1
cs.LGcs.AIstat.MLarXiv:1806.07366v52018
Hierarchical Graph Transformer with Adaptive Node Sampling
Zaixi Zhang, Qi Liu, Qingyong Hu +1
cs.LGcs.AIarXiv:2210.03930v12022
A review of machine learning applications in wildfire science and management
Piyush Jain, Sean C P Coogan, Sriram Ganapathi Subramanian +3
cs.LGstat.MLarXiv:2003.00646v22020
Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research
Benjamin Birnbaum, Nathan Nussbaum, Katharina Seidl-Rathkopf +7
cs.CYcs.LGarXiv:2001.09765v12020
Understanding Oversquashing in GNNs through the Lens of Effective Resistance
Mitchell Black, Zhengchao Wan, Amir Nayyeri +1
cs.LGarXiv:2302.06835v22023
MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization
Md Mehrab Tanjim, Jayakumar Subramanian, Xiang Chen +6
cs.AIcs.LGcs.SEarXiv:2605.19330v12026
Exact Dynamics and Finite-Sample Trajectory Recovery of Linear Recursive Feature Machines
Andrew Cheng, Bobak T. Kiani, Yue M. Lu +1
cs.LGstat.MLarXiv:2610.09196v12026
IGNITE Tokamak World Model Architecture
Peter Steiner, Azarakhsh Jalalvand, Nathaniel Chen +4
physics.plasm-phcs.AIcs.LGarXiv:2610.02515v12026
Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán, Umang Bhatt, Tameem Adel +2
stat.MLcs.LGarXiv:2006.06848v22020
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song, Conor Durkan, Iain Murray +1
stat.MLcs.LGarXiv:2101.09258v42021
Could a Large Language Model be Conscious?
David J. Chalmers
cs.AIcs.CLcs.LGarXiv:2303.07103v32023
When Can You Debias an LLM Judge? Identifiability Limits, a Test, and Designs for Top-k Ranking
Jian Xu, Delu Zeng, John Paisley +1
cs.LGarXiv:2607.02104v22026
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
Zonghan Wu, Shirui Pan, Guodong Long +3
cs.LGstat.MLarXiv:2005.11650v12020
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization
Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur
stat.MLcs.LGarXiv:1210.1190v12012
DBLoss: Decomposition-based Loss Function for Time Series Forecasting
Xiangfei Qiu, Xingjian Wu, Hanyin Cheng +4
cs.LGarXiv:2510.23672v12025
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li, John Thickstun, Ishaan Gulrajani +2
cs.CLcs.AIcs.LGarXiv:2205.14217v12022
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Gerald Woo, Chenghao Liu, Doyen Sahoo +2
cs.LGarXiv:2202.01381v22022
SWE-Bench++: A Framework for the Scalable Generation of Software Engineering Benchmarks from Open-Source Repositories
Lilin Wang, Lucas Ramalho, Alan Celestino +6
cs.SEcs.AIcs.CLarXiv:2512.17419v12025
Self-Supervised Correspondence in Visuomotor Policy Learning
Peter Florence, Lucas Manuelli, Russ Tedrake
cs.ROcs.CVcs.LGarXiv:1909.06933v12019
SLIM: Simplex-Lattice Interpolation Merging
Seongcheol Jeong, Masahiro Suzuki, Yutaka Matsuo
cs.LGarXiv:2610.01037v12026
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang +2
cs.LGmath.OCstat.MLarXiv:2003.00534v22020
Learning Equations for Extrapolation and Control
Subham S. Sahoo, Christoph H. Lampert, Georg Martius
cs.LGstat.MLarXiv:1806.07259v12018
Multi-Agent Generative Adversarial Imitation Learning
Jiaming Song, Hongyu Ren, Dorsa Sadigh +1
cs.LGcs.AIcs.MAarXiv:1807.09936v12018
The Price of Thinking: Reasoning Effort as a Model-Specific API Contract
Yeabin Moon
cs.AIcs.CLcs.CYarXiv:2608.16956v12026
Federated Continual Learning as a Distributed Drift-Plus-Penalty Control Problem
Nazreen Shah, Naveen Kumar Reddy Somireddy, Zubair Shaban +2
cs.LGarXiv:2608.21539v12026
On the Non-decoupling of Supervised Fine-tuning and Reinforcement Learning in Post-training
Xueyan Niu, Bo Bai, Wei Han +1
cs.LGcs.AIcs.ITarXiv:2601.07389v22026
MIST: Mutual Information Estimation Via Supervised Training
German Gritsai, Megan Richards, Maxime Méloux +2
cs.LGcs.ITmath.ITarXiv:2511.18945v42025
SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue
Haobo Zheng, Tan Tang, Yan Chen +2
cs.CLcs.AIcs.IRarXiv:2609.26780v22026
Representation-Space MMD for Diffusion Language Models
Ilya Drobyshevskiy, Ilia Sudakov, Maksim Semenov +7
cs.CLcs.LGarXiv:2610.06648v12026
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
Bernd Bischl, Martin Binder, Michel Lang +9
stat.MLcs.LGarXiv:2107.05847v32021
GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining
Bin Liu, Yuxiao Ren, Hanchi Liu +4
cs.CVcs.LGeess.IVarXiv:1912.05759v32019
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
Renhe Jiang, Zhaonan Wang, Jiawei Yong +6
cs.LGcs.AIarXiv:2211.14701v42022
SqueezeBERT: What can computer vision teach NLP about efficient neural networks?
Forrest N. Iandola, Albert E. Shaw, Ravi Krishna +1
cs.CLcs.CVcs.LGarXiv:2006.11316v12020
PhysicsBench: A Unified Leaderboard for Generative and Predictive Models in Engineering Design and Simulation
Sang Won Lee, Hyogu Jeong, Namwoo Kang
cs.LGcs.CEarXiv:2608.24056v12026
Semantic Human Matting
Quan Chen, Tiezheng Ge, Yanyu Xu +3
cs.CVcs.GRcs.LGarXiv:1809.01354v22018
COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation
Tianyi Zhou, Dongrui Liu, Leitao Yuan +2
cs.AIcs.CLcs.LGarXiv:2605.31264v12026
Attention Sensitivity Is Not Enough: Dissociating Attention-Level and Behavioural In-Context Learning under Fine-Tuning
Jinyuan Zhang, Peng He, He Hu +2
cs.LGcs.AIcs.CLarXiv:2609.00064v12026
ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
Jungwoo Oh, Hyunseung Chung, Junhee Lee +6
cs.LGcs.AIcs.CLarXiv:2603.14326v12026
Overview of the TREC 2020 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +1
cs.IRcs.AIcs.CLarXiv:2102.07662v12021
Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning
Shireen Kudukkil Manchingal, Abhey Kalia, Fernanda Gonçalves +1
cs.LGcs.AIarXiv:2605.18871v12026
Towards Explainable Benchmarking for Data-driven Post-Wildfire Debris Flow Prediction
Zhisheng Qi, Li Zhu, Utkarsh Sahu +3
cs.LGarXiv:2610.07358v12026
Segmental Advantage Estimation: Enhancing PPO for Long-Context LLM Training
Xue Gong, Qi Yi, Ziyuan Nan +8
cs.LGcs.AIarXiv:2601.07320v12026
CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance
Erik Thureck
cs.CLcs.AIcs.LGarXiv:2608.21462v12026
Rolling Day-Wise Mortality Prediction in Critically Ill Patients With AKI on CRRT Utilizing Machine Pressure Waveforms
Shehan Irteza Pranto, Joanna Yang, Joshua Lambert +6
cs.LGcs.AIarXiv:2609.13524v12026

Machine Learning

An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction

Optimization of Molecules via Deep Reinforcement Learning

Learning High-Risk High-Precision Motion Control

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach

Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research

Fine-grained Sentiment Classification using BERT

Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model

EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion

Capturing the Complexity of Human Strategic Decision-Making with Machine Learning

Cosmos 3: Omnimodal World Models for Physical AI

Bike Flow Prediction with Multi-Graph Convolutional Networks

Change the Product, Keep the Parameters: Associative Algebra Layers for Transformers

Ask the GRU: Multi-Task Learning for Deep Text Recommendations

Pseudo-likelihood methods for community detection in large sparse networks

The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs

Supervising strong learners by amplifying weak experts

Neural Ordinary Differential Equations

Hierarchical Graph Transformer with Adaptive Node Sampling

A review of machine learning applications in wildfire science and management

Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research

Understanding Oversquashing in GNNs through the Lens of Effective Resistance

MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization

Exact Dynamics and Finite-Sample Trajectory Recovery of Linear Recursive Feature Machines

IGNITE Tokamak World Model Architecture

Getting a CLUE: A Method for Explaining Uncertainty Estimates

Maximum Likelihood Training of Score-Based Diffusion Models

Could a Large Language Model be Conscious?

When Can You Debias an LLM Judge? Identifiability Limits, a Test, and Designs for Top-k Ranking

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization

DBLoss: Decomposition-based Loss Function for Time Series Forecasting

Diffusion-LM Improves Controllable Text Generation

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

SWE-Bench++: A Framework for the Scalable Generation of Software Engineering Benchmarks from Open-Source Repositories

Self-Supervised Correspondence in Visuomotor Policy Learning

SLIM: Simplex-Lattice Interpolation Merging

Provably Efficient Safe Exploration via Primal-Dual Policy Optimization

Learning Equations for Extrapolation and Control

Multi-Agent Generative Adversarial Imitation Learning

The Price of Thinking: Reasoning Effort as a Model-Specific API Contract

Federated Continual Learning as a Distributed Drift-Plus-Penalty Control Problem

On the Non-decoupling of Supervised Fine-tuning and Reinforcement Learning in Post-training

MIST: Mutual Information Estimation Via Supervised Training

SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue

Representation-Space MMD for Diffusion Language Models

Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting

SqueezeBERT: What can computer vision teach NLP about efficient neural networks?

PhysicsBench: A Unified Leaderboard for Generative and Predictive Models in Engineering Design and Simulation

Semantic Human Matting

COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation

Attention Sensitivity Is Not Enough: Dissociating Attention-Level and Behavioural In-Context Learning under Fine-Tuning

ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation

Overview of the TREC 2020 deep learning track

Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning

Towards Explainable Benchmarking for Data-driven Post-Wildfire Debris Flow Prediction

Segmental Advantage Estimation: Enhancing PPO for Long-Context LLM Training

CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance

Rolling Day-Wise Mortality Prediction in Critically Ill Patients With AKI on CRRT Utilizing Machine Pressure Waveforms