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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27,121 to 27,180 of 33,120

To Explore The Strange New World Beyond Data Distribution: System Behavior, Causality Tax, and Non-causal Base Model
Xianzhi Zeng, Jiangneng Li, Gao Cong
cs.LGcs.CLarXiv:2610.02839v12026
Scientific multi-agent reinforcement learning for wall-models of turbulent flows
H. Jane Bae, Petros Koumoutsakos
physics.flu-dyncs.LGphysics.comp-pharXiv:2106.11144v22021
Reducing Noise in GAN Training with Variance Reduced Extragradient
Tatjana Chavdarova, Gauthier Gidel, François Fleuret +1
stat.MLcs.LGmath.OCarXiv:1904.08598v32019
Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
Toufique Ahmed, Premkumar Devanbu, Christoph Treude +1
cs.SEcs.HCcs.LGarXiv:2408.05534v12024
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare, Sriram Srinivasan, Georg Ostrovski +3
cs.AIcs.LGstat.MLarXiv:1606.01868v22016
FSPO: Policy-Consistent Risk and Pareto-Feasible Control for Budgeted LLM RL Post-Training
Miaobo Hu, Shuhao Hu, Xiaobo Guo +4
cs.AIcs.CLcs.LGarXiv:2610.02828v12026
DeepCoder: Learning to Write Programs
Matej Balog, Alexander L. Gaunt, Marc Brockschmidt +2
cs.LGarXiv:1611.01989v22016
Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
Zhiyuan Peng, Xuyang Wu, Qifan Wang +1
cs.IRcs.AIcs.CLarXiv:2307.08303v52023
CREW: Facilitating Human-AI Teaming Research
Lingyu Zhang, Zhengran Ji, Boyuan Chen
cs.HCcs.AIcs.LGarXiv:2408.00170v32024
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability
Maithra Raghu, Justin Gilmer, Jason Yosinski +1
stat.MLcs.LGarXiv:1706.05806v22017
Federated Forest
Yang Liu, Yingting Liu, Zhijie Liu +3
cs.LGstat.MLarXiv:1905.10053v12019
Achieving Fairness in the Stochastic Multi-armed Bandit Problem
Vishakha Patil, Ganesh Ghalme, Vineet Nair +1
cs.LGstat.MLarXiv:1907.10516v22019
Audiobox: Unified Audio Generation with Natural Language Prompts
Apoorv Vyas, Bowen Shi, Matthew Le +21
cs.SDcs.LGeess.ASarXiv:2312.15821v12023
A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models
Longchao Da, Justin Turnau, Thirulogasankar Pranav Kutralingam +3
cs.LGcs.AIcs.ROarXiv:2502.13187v32025
Scale-Aware 3D Deep Learning for Robust Brain Metastasis Detection in Multimodal MRI
Sylvain Jaume, Hongming Wang, Simon K. Warfield
eess.IVcs.CVcs.LGarXiv:2609.10825v12026
On the Bottleneck of Graph Neural Networks and its Practical Implications
Uri Alon, Eran Yahav
cs.LGstat.MLarXiv:2006.05205v42020
Adaptive Spectral-Koopman Dynamics Modeling for Temporal Domain Generalization
Tengxue Zhang, Yu Ke, Yang Shu +4
cs.LGcs.AIarXiv:2610.02822v12026
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
Shuo Yang, Zeke Xie, Hanyu Peng +3
cs.LGarXiv:2205.09329v22022
Bridging short- and medium-range weather forecasting with machine learning
Timothy A. Smith, Mariah Pope, Sergey Frolov +4
physics.ao-phcs.LGarXiv:2608.26822v12026
Personalized Counterfactual Fairness in Recommendation
Yunqi Li, Hanxiong Chen, Shuyuan Xu +2
cs.IRcs.AIcs.LGarXiv:2105.09829v32021
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
Thinh Pham, Nguyen Nguyen, Pratibha Zunjare +3
cs.CLcs.AIcs.LGarXiv:2506.01062v42025
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes
Guanghui Lan
cs.LGcs.AImath.OCarXiv:2102.00135v62021
Gated Slot Attention-2: Two-Sided Associative Memory Correction in Linear Attention
Ruijie Li, Shengnan Ding, Weimin Zhang +6
cs.LGarXiv:2610.02816v12026
PersonaGym: Evaluating Persona Agents and LLMs
Vinay Samuel, Henry Peng Zou, Yue Zhou +6
cs.CLcs.AIcs.LGarXiv:2407.18416v52024
Generative AI for Visualization: State of the Art and Future Directions
Yilin Ye, Jianing Hao, Yihan Hou +4
cs.LGcs.AIcs.HCarXiv:2404.18144v12024
Neural Relational Inference for Interacting Systems
Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang +2
stat.MLcs.LGarXiv:1802.04687v22018
SCORE: Spectral Correlation Estimation for Multivariate Gaussians
Christopher Bülte, Emil Partow, Astha Gupta +2
cs.LGarXiv:2610.12096v12026
Physics-informed neural networks with hard constraints for inverse design
Lu Lu, Raphael Pestourie, Wenjie Yao +3
physics.comp-phcs.LGarXiv:2102.04626v12021
Optimizing Diversity and Quality through Base-Aligned Model Collaboration
Yichen Wang, Chenghao Yang, Tenghao Huang +3
cs.CLcs.AIcs.LGarXiv:2511.05650v22025
A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule
Yunzhe Hao, Xuhui Huang, Meng Dong +1
cs.NEcs.AIcs.LGarXiv:1812.06574v32018
Reinforcement Learning with a Corrupted Reward Channel
Tom Everitt, Victoria Krakovna, Laurent Orseau +2
cs.AIcs.LGstat.MLarXiv:1705.08417v22017
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
Yifan Wang, Suyao Tang, Yuntong Lei +3
cs.IRcs.LGcs.SIarXiv:2106.10879v12021
No PUN Intended: Plausible Unknown Names for Person-Centred LLM Evaluation
Dimitri Staufer, David Hartmann, Ibrahim Baroud
cs.CLcs.AIcs.LGarXiv:2608.21206v12026
LatticeSMC: Where to Spend Inference-Time Compute in Chunked Sequence Generators
Xuanchen Wang, Heng Wang, Weidong Cai
cs.LGarXiv:2610.02774v12026
Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing
Anurag Dwarakanath, Manish Ahuja, Samarth Sikand +4
cs.SEcs.LGarXiv:1808.05353v12018
Detection Algorithms for Communication Systems Using Deep Learning
Nariman Farsad, Andrea Goldsmith
cs.LGcs.AIcs.ETarXiv:1705.08044v22017
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
Chen Chen, Chen Qin, Cheng Ouyang +7
eess.IVcs.CVcs.LGarXiv:2108.03429v32021
Towards More Practical Adversarial Attacks on Graph Neural Networks
Jiaqi Ma, Shuangrui Ding, Qiaozhu Mei
cs.LGstat.MLarXiv:2006.05057v32020
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal
cs.CVcs.AIcs.LGarXiv:2205.09853v42022
Training Quantized Nets: A Deeper Understanding
Hao Li, Soham De, Zheng Xu +3
cs.LGcs.CVstat.MLarXiv:1706.02379v32017
Confident at the moment of action: belief miscalibration in LLM play under hidden information
Bhushan Kashinath Joshi
cs.AIcs.CLcs.LGarXiv:2608.24691v12026
Evolving Curricula with Regret-Based Environment Design
Jack Parker-Holder, Minqi Jiang, Michael Dennis +4
cs.LGarXiv:2203.01302v32022
Learning to Trigger: Reinforcement Learning at the Large Hadron Collider
Zixin Ding, Shaghayegh Emami, Giovanna Salvi +7
cs.LGcs.AIhep-exarXiv:2606.23993v32026
Drug discovery with explainable artificial intelligence
José Jiménez-Luna, Francesca Grisoni, Gisbert Schneider
cs.AIcs.LGstat.MLarXiv:2007.00523v22020
Hybrid ML for Lightweight Pre-Route Delay Estimation in Open-Source IC Design
Marvin Castro Castro, Erick Carvajal Barboza
cs.LGarXiv:2608.17914v12026
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification
Maxime Bucher, Stéphane Herbin, Frédéric Jurie
cs.CVcs.AIcs.LGarXiv:1607.08085v12016
Inner Momentum for Differentially Private Muon
Bishnu Bhusal, Minh Vu, Ben Southworth +3
cs.LGcs.CRarXiv:2610.02738v12026
Neural ODEs with stochastic vector field mixtures
Niall Twomey, Michał Kozłowski, Raúl Santos-Rodríguez
cs.LGstat.MLarXiv:1905.09905v12019
Federated Learning with Matched Averaging
Hongyi Wang, Mikhail Yurochkin, Yuekai Sun +2
cs.LGstat.MLarXiv:2002.06440v12020
Multi-Armed Bandit Based Client Scheduling for Federated Learning
Wenchao Xia, Tony Q. S. Quek, Kun Guo +3
cs.ITcs.LGarXiv:2007.02315v12020
Characterizing the Performance Gap in Human Activity Recognition for Older Adults
Hossein Khayami, Sungjin Hwang, Eshed Ohn-Bar +4
cs.HCcs.LGarXiv:2610.02711v12026
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker
Melanie Sclar, Sachin Kumar, Peter West +3
cs.CLcs.AIcs.LGarXiv:2306.00924v12023
Cross-Temperature Defect Identification in Atomistic Simulations via Multi-Level Domain Alignment
Yating Fang, Jungmin Kim, Qian Qian Zhao +4
cond-mat.mtrl-scics.LGphysics.comp-pharXiv:2608.22074v12026
Beyond Fixed Frames: Dynamic Character-Aligned Speech Tokenization
Luca Della Libera, Cem Subakan, Mirco Ravanelli
cs.LGcs.AIcs.SDarXiv:2601.23174v22026
Fast Variational Inference in the Conjugate Exponential Family
James Hensman, Magnus Rattray, Neil D. Lawrence
cs.LGstat.MLarXiv:1206.5162v22012
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
Marius Mosbach, Maksym Andriushchenko, Dietrich Klakow
cs.LGstat.MLarXiv:2006.04884v32020
Neighborhood Contrastive Learning for Novel Class Discovery
Zhun Zhong, Enrico Fini, Subhankar Roy +3
cs.CVcs.AIcs.LGarXiv:2106.10731v12021
Gradient-enhanced kriging for high-dimensional problems
Mohamed Amine Bouhlel, Joaquim R. R. A. Martins
cs.LGstat.MLarXiv:1708.02663v12017
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J. Bryson, Arvind Narayanan
cs.AIcs.CLcs.CYarXiv:1608.07187v42016
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving
Wenzhao Zheng, Weiliang Chen, Yuanhui Huang +3
cs.CVcs.AIcs.LGarXiv:2311.16038v12023

Machine Learning

To Explore The Strange New World Beyond Data Distribution: System Behavior, Causality Tax, and Non-causal Base Model

Scientific multi-agent reinforcement learning for wall-models of turbulent flows

Reducing Noise in GAN Training with Variance Reduced Extragradient

Can LLMs Replace Manual Annotation of Software Engineering Artifacts?

Unifying Count-Based Exploration and Intrinsic Motivation

FSPO: Policy-Consistent Risk and Pareto-Feasible Control for Budgeted LLM RL Post-Training

DeepCoder: Learning to Write Programs

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models

CREW: Facilitating Human-AI Teaming Research

SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability

Federated Forest

Achieving Fairness in the Stochastic Multi-armed Bandit Problem

Audiobox: Unified Audio Generation with Natural Language Prompts

A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models

Scale-Aware 3D Deep Learning for Robust Brain Metastasis Detection in Multimodal MRI

On the Bottleneck of Graph Neural Networks and its Practical Implications

Adaptive Spectral-Koopman Dynamics Modeling for Temporal Domain Generalization

Dataset Pruning: Reducing Training Data by Examining Generalization Influence

Bridging short- and medium-range weather forecasting with machine learning

Personalized Counterfactual Fairness in Recommendation

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

Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes

Gated Slot Attention-2: Two-Sided Associative Memory Correction in Linear Attention

PersonaGym: Evaluating Persona Agents and LLMs

Generative AI for Visualization: State of the Art and Future Directions

Neural Relational Inference for Interacting Systems

SCORE: Spectral Correlation Estimation for Multivariate Gaussians

Physics-informed neural networks with hard constraints for inverse design

Optimizing Diversity and Quality through Base-Aligned Model Collaboration

A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule

Reinforcement Learning with a Corrupted Reward Channel

DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation

No PUN Intended: Plausible Unknown Names for Person-Centred LLM Evaluation

LatticeSMC: Where to Spend Inference-Time Compute in Chunked Sequence Generators

Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing

Detection Algorithms for Communication Systems Using Deep Learning

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation

Towards More Practical Adversarial Attacks on Graph Neural Networks

MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation

Training Quantized Nets: A Deeper Understanding

Confident at the moment of action: belief miscalibration in LLM play under hidden information

Evolving Curricula with Regret-Based Environment Design

Learning to Trigger: Reinforcement Learning at the Large Hadron Collider

Drug discovery with explainable artificial intelligence

Hybrid ML for Lightweight Pre-Route Delay Estimation in Open-Source IC Design

Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification

Inner Momentum for Differentially Private Muon

Neural ODEs with stochastic vector field mixtures

Federated Learning with Matched Averaging

Multi-Armed Bandit Based Client Scheduling for Federated Learning

Characterizing the Performance Gap in Human Activity Recognition for Older Adults

Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker

Cross-Temperature Defect Identification in Atomistic Simulations via Multi-Level Domain Alignment

Beyond Fixed Frames: Dynamic Character-Aligned Speech Tokenization

Fast Variational Inference in the Conjugate Exponential Family

On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines

Neighborhood Contrastive Learning for Novel Class Discovery

Gradient-enhanced kriging for high-dimensional problems

Semantics derived automatically from language corpora contain human-like biases

OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving