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)

25,381 to 25,440 of 33,197

What a Reporting Convention Hides: A Matched-Budget Audit of Quantum Natural Gradient with an Exactly Computed Metric
Lu Wei, Yufeng Wang, Haibin Ling
cs.LGquant-pharXiv:2610.09425v12026
A Survey of Reasoning with Foundation Models
Jiankai Sun, Chuanyang Zheng, Enze Xie +31
cs.AIcs.CLcs.CVarXiv:2312.11562v52023
WebInject: Prompt Injection Attack to Web Agents
Xilong Wang, John Bloch, Zedian Shao +3
cs.LGcs.AIcs.CLarXiv:2505.11717v42025
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
Haoang Chi, He Li, Wenjing Yang +5
cs.AIcs.CLcs.LGarXiv:2506.21215v12025
Score-based Generative Modeling in Latent Space
Arash Vahdat, Karsten Kreis, Jan Kautz
stat.MLcs.LGarXiv:2106.05931v32021
VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
Guobin Shen, Chenxiao Zhao, Xiang Cheng +2
cs.LGcs.AIarXiv:2602.10693v32026
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert, Florence Forbes, Alan Tucholka +3
eess.IVcs.AIcs.CVarXiv:2210.03736v12022
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei, Yue Tan, Kan Zheng +4
cs.LGstat.MLarXiv:1907.09059v32019
Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach
Chen-Yu Wei, Haipeng Luo
cs.LGcs.AIstat.MLarXiv:2102.05406v32021
Machine learning on small size samples: A synthetic knowledge synthesis
Peter Kokol, Marko Kokol, Sašo Zagoranski
cs.LGcs.AIarXiv:2103.01002v12021
Interactive-Policy Distillation with Bidirectional Propose-and-Verify
Shutong Wu, Xiwen Chen, Brendan Rappazzo +4
cs.LGcs.AIarXiv:2609.36546v12026
Differentiable Koopman Operator for Contrastive Learning on Dynamic Graphs
Md Abrar Jahin, Taufikur Rahman Fuad, Md Rizwan Parvez
cs.LGarXiv:2610.02990v12026
Semi-supervised Feature Analysis by Mining Correlations among Multiple Tasks
Xiaojun Chang, Yi Yang
cs.LGarXiv:1411.6232v22014
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images
Hossein Hosseini, Baicen Xiao, Mayoore Jaiswal +1
cs.CVcs.LGstat.MLarXiv:1703.06857v22017
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Yarin Gal, Zoubin Ghahramani
stat.MLcs.LGarXiv:1506.02158v62015
DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies
Tony Tao, Mohan Kumar Srirama, Jason Jingzhou Liu +2
cs.ROcs.AIcs.CVarXiv:2505.07813v22025
Don't Waste It: Guiding Generative Recommenders with Structured Human Priors via Multi-Head Decoding
Yunkai Zhang, Qiang Zhang, Feng Lin +7
cs.IRcs.LGarXiv:2511.10492v32025
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding, Jianling Wang, Jundong Li +3
cs.LGcs.SIstat.MLarXiv:2006.12739v32020
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation
Song Liu, Makoto Yamada, Nigel Collier +1
stat.MLcs.LGstat.MEarXiv:1203.0453v22012
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning
Xueguang Lyu, Yuchen Xiao, Brett Daley +1
cs.LGcs.AIarXiv:2102.04402v22021
AI in Finance: Challenges, Techniques and Opportunities
Longbing Cao
q-fin.CPcs.AIcs.CEarXiv:2107.09051v12021
On the generalization of language models from in-context learning and finetuning: a controlled study
Andrew K. Lampinen, Arslan Chaudhry, Stephanie C. Y. Chan +7
cs.CLcs.AIcs.LGarXiv:2505.00661v32025
Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
Jianhui Chen, Yuzhang Luo, Liangming Pan
cs.CLcs.AIcs.LGarXiv:2601.21996v22026
Solving for high dimensional committor functions using artificial neural networks
Yuehaw Khoo, Jianfeng Lu, Lexing Ying
cs.LGmath.NAstat.MLarXiv:1802.10275v12018
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
Sudipto Mukherjee, Himanshu Asnani, Eugene Lin +1
cs.LGstat.MLarXiv:1809.03627v22018
Student-t Processes as Alternatives to Gaussian Processes
Amar Shah, Andrew Gordon Wilson, Zoubin Ghahramani
stat.MLcs.AIcs.LGarXiv:1402.4306v22014
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
Zhengfu He, Tianxiang Sun, Kuanning Wang +2
cs.CLcs.AIcs.LGarXiv:2211.15029v22022
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach
Grant M. Rotskoff, Eric Vanden-Eijnden
stat.MLcond-mat.stat-mechcs.LGarXiv:1805.00915v32018
Shared Geometry As A Rosetta Stone: Cross-Modal Alignment Without Paired Data
Dominik Schnaus, Thomas Dagès, Daniel Cremers +2
cs.LGcs.AIcs.CVarXiv:2610.09411v12026
Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions
Oscar Li, Hao Liu, Chaofan Chen +1
cs.AIcs.LGstat.MLarXiv:1710.04806v22017
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills
Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra +3
cs.LGcs.CLarXiv:2402.03244v22024
Lightweight Adaptation of EEG Foundation Models for Stroke Motor Imagery Decoding: Domain Shift and Subject-Level Robustness
Anh T. Nguyen, Zihua Sun, Michelle J. Johnson
cs.CEcs.LGarXiv:2609.00282v12026
Harmonic Torsional Diffusion for Protein-Ligand Flexible Docking
Maksim Zhdanov, Pavel Strashnov, Vladislav Kurenkov
q-bio.BMcs.LGarXiv:2608.20366v12026
Going Beyond State-Reaching: Learning Abstractions for Intrinsically Motivated Option Discovery
Akhil Bagaria, Anita De Mello Koch, George Konidaris
cs.AIcs.LGarXiv:2609.36473v12026
EvasionBench: A Large-Scale Benchmark for Detecting Managerial Evasion in Earnings Call Q&A
Shijian Ma, Yan Lin, Yi Yang
cs.LGcs.CLarXiv:2601.09142v22026
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data
Peter Hase, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:2102.02201v22021
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj, Giuseppe Ateniese, Fernando Perez-Cruz
cs.CRcs.LGstat.MLarXiv:1702.07464v32017
Beyond Observed Auxiliary Relations: Environment-Conditioned Modeling for Multi-Behavior Recommendation
Seunghan Lee, Hyunsik Yoo, Jian Kang +2
cs.AIcs.LGarXiv:2608.22920v12026
Reinforcement Learning and Rule-Based Peer-to-Peer Pricing in Residential PV-BES Communities
Pablo Benalcazar, Maciej Kalka, Wilian Guamán +1
cs.LGcs.CYarXiv:2609.01680v12026
SMOPD: Selective Token-Entropy Masking for Dirty-History Multi-Turn On-Policy Self-Distillation
Chenyang Jiang, Changhan Huang
cs.LGcs.AIarXiv:2608.14647v12026
A Survey of Deep Active Learning
Pengzhen Ren, Yun Xiao, Xiaojun Chang +5
cs.LGstat.MLarXiv:2009.00236v22020
Stemming Hallucination in Language Models Using a Licensing Oracle
Simeon Emanuilov, Richard Ackermann
cs.CLcs.AIcs.LGarXiv:2511.06073v12025
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning
Zihan Ding, Chi Jin
cs.LGarXiv:2309.16984v22023
Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance
Giles Hooker, Lucas Mentch, Siyu Zhou
stat.MEcs.LGstat.MLarXiv:1905.03151v22019
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays
Junpei Komiyama, Junya Honda, Hiroshi Nakagawa
stat.MLcs.LGarXiv:1506.00779v32015
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Avi Schwarzschild, Micah Goldblum, Arjun Gupta +2
cs.LGcs.CRcs.CVarXiv:2006.12557v32020
Learning Unknown Constraints without Unsafe Data via Optimality and Counterfactual Regularization
Zhouyu Zhang, Chih-Yuan Chiu, Glen Chou
cs.ROcs.LGarXiv:2610.09350v12026
$C_4$-Equivariant Flow Matching on Anisotropic Power-Diagram Graphs for Microstructure Generation
Dawid Lipinski, Jixiang Qing, Henry Moss
cs.LGarXiv:2610.11549v12026
CodeNeRF: Disentangled Neural Radiance Fields for Object Categories
Wonbong Jang, Lourdes Agapito
cs.GRcs.CVcs.LGarXiv:2109.01750v12021
Feature-map-level Online Adversarial Knowledge Distillation
Inseop Chung, SeongUk Park, Jangho Kim +1
cs.LGcs.AIcs.CVarXiv:2002.01775v32020
Decoding-time Realignment of Language Models
Tianlin Liu, Shangmin Guo, Leonardo Bianco +7
cs.LGcs.AIcs.CLarXiv:2402.02992v22024
FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels
Jiedong Jiang, Wanyi He, Yuefeng Wang +8
cs.LGcs.AIcs.FLarXiv:2511.02872v42025
On the Learnability of Watermarks for Language Models
Chenchen Gu, Xiang Lisa Li, Percy Liang +1
cs.LGcs.CLcs.CRarXiv:2312.04469v32023
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
Long Xin, Pin Wang, Ching-Yao Chan +3
cs.LGcs.ROstat.MLarXiv:1906.02815v12019
PAC-Bayesian Reconstruction Guarantees for Time Series Variational Autoencoders
Chloé Hashimoto-Cullen, Ghislain Agoua, Benjamin Guedj +1
stat.MLcs.LGarXiv:2609.05212v12026
SE-ADD: Self-Evolving Audio Deepfake Detection with Mistake-Driven Supervision
Rong Wan, Wei Xie, Jiaxi Li +4
cs.SDcs.LGarXiv:2609.39679v12026
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems
Meng Tang, Yimin Liu, Louis J. Durlofsky
cs.LGphysics.comp-phstat.MLarXiv:1908.05823v12019
Community detection in node-attributed social networks: a survey
Petr Chunaev
cs.SIcs.LGcs.PFarXiv:1912.09816v22019
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems
Lei Zhang, David Zhang
cs.LGarXiv:1505.06405v12015
AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification
Ammarah Farooq, Muhammad Awais, Josef Kittler +1
cs.CVcs.LGarXiv:2101.08238v32021

Machine Learning

What a Reporting Convention Hides: A Matched-Budget Audit of Quantum Natural Gradient with an Exactly Computed Metric

A Survey of Reasoning with Foundation Models

WebInject: Prompt Injection Attack to Web Agents

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?

Score-based Generative Modeling in Latent Space

VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training

Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis

Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges

Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach

Machine learning on small size samples: A synthetic knowledge synthesis

Interactive-Policy Distillation with Bidirectional Propose-and-Verify

Differentiable Koopman Operator for Contrastive Learning on Dynamic Graphs

Semi-supervised Feature Analysis by Mining Correlations among Multiple Tasks

On the Limitation of Convolutional Neural Networks in Recognizing Negative Images

Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference

DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies

Don't Waste It: Guiding Generative Recommenders with Structured Human Priors via Multi-Head Decoding

Graph Prototypical Networks for Few-shot Learning on Attributed Networks

Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation

Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

AI in Finance: Challenges, Techniques and Opportunities

On the generalization of language models from in-context learning and finetuning: a controlled study

Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units

Solving for high dimensional committor functions using artificial neural networks

ClusterGAN : Latent Space Clustering in Generative Adversarial Networks

Student-t Processes as Alternatives to Gaussian Processes

DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models

Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Shared Geometry As A Rosetta Stone: Cross-Modal Alignment Without Paired Data

Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions

Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills

Lightweight Adaptation of EEG Foundation Models for Stroke Motor Imagery Decoding: Domain Shift and Subject-Level Robustness

Harmonic Torsional Diffusion for Protein-Ligand Flexible Docking

Going Beyond State-Reaching: Learning Abstractions for Intrinsically Motivated Option Discovery

EvasionBench: A Large-Scale Benchmark for Detecting Managerial Evasion in Earnings Call Q&A

When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

Beyond Observed Auxiliary Relations: Environment-Conditioned Modeling for Multi-Behavior Recommendation

Reinforcement Learning and Rule-Based Peer-to-Peer Pricing in Residential PV-BES Communities

SMOPD: Selective Token-Entropy Masking for Dirty-History Multi-Turn On-Policy Self-Distillation

A Survey of Deep Active Learning

Stemming Hallucination in Language Models Using a Licensing Oracle

Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance

Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays

Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks

Learning Unknown Constraints without Unsafe Data via Optimality and Counterfactual Regularization

$C_4$-Equivariant Flow Matching on Anisotropic Power-Diagram Graphs for Microstructure Generation

CodeNeRF: Disentangled Neural Radiance Fields for Object Categories

Feature-map-level Online Adversarial Knowledge Distillation

Decoding-time Realignment of Language Models

FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels

On the Learnability of Watermarks for Language Models

Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks

PAC-Bayesian Reconstruction Guarantees for Time Series Variational Autoencoders

SE-ADD: Self-Evolving Audio Deepfake Detection with Mistake-Driven Supervision

A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems

Community detection in node-attributed social networks: a survey

Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems

AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification