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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24,541 to 24,600 of 33,237

SceneJail: Exploiting Video Scenario Context to Jailbreak Multimodal LLMs
Wenyu Chen, Li Wang, Chuanchao Zang +5
cs.CRcs.AIcs.LGarXiv:2609.38899v12026
LINE: Large-scale Information Network Embedding
Jian Tang, Meng Qu, Mingzhe Wang +3
cs.LGarXiv:1503.03578v12015
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning
Ziqing Qiao, Yongheng Deng, Jiali Zeng +7
cs.LGcs.AIcs.CLarXiv:2505.04881v22025
Rethinking Machine Unlearning for Large Language Models
Sijia Liu, Yuanshun Yao, Jinghan Jia +11
cs.LGcs.CLarXiv:2402.08787v62024
Rethinking Relative Policy Differences Transfer of On-Policy Distillation
Rong Wu, Daocheng Fu, Yu Yang +9
cs.LGarXiv:2610.13205v12026
Shape irregularity of Life-Like Network Automaton rules as an indicator of classification performance
Lucas C. S. Oliveira, Michiel Rollier, Jan Baetens +1
cs.LGnlin.CGarXiv:2610.10867v12026
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
Ning Miao, Hao Zhou, Lili Mou +2
cs.CLcs.AIcs.LGarXiv:1811.10996v12018
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty +3
cs.LGcs.AIcs.CRarXiv:1805.11090v32018
The Era of Real-World Human Interaction: RL from User Conversations
Chuanyang Jin, Jing Xu, Bo Liu +6
cs.AIcs.CLcs.LGarXiv:2509.25137v12025
Unmerge: Efficient Machine Unlearning via Task Arithmetic
Haoran Tang, Andrew Tan, Rajiv Khanna
cs.LGcs.AIarXiv:2609.38895v12026
Rare Gate Disagreements Can Limit Plasticity: When Gradient Flow Mispredicts Finite-Batch SGD
Ruoyu Zhao, Mingxuan Zhang, Jianbo Dai +3
cs.LGmath.OCstat.MLarXiv:2610.11475v12026
Automatic Posterior Transformation for Likelihood-Free Inference
David S. Greenberg, Marcel Nonnenmacher, Jakob H. Macke
cs.LGstat.MLarXiv:1905.07488v12019
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Jang-Hyun Kim, Wonho Choo, Hyun Oh Song
cs.LGcs.AIcs.CVarXiv:2009.06962v22020
Spatial Feature-wise Linear Modulation (SpFiLM) for Contrast Agent-Aware Brain Parcellation
Pushpendra Singh, Joshua R. Astley, Roman Rodionov +3
eess.IVcs.CVcs.LGarXiv:2609.07718v12026
bartMachine: Machine Learning with Bayesian Additive Regression Trees
Adam Kapelner, Justin Bleich
stat.MLcs.LGarXiv:1312.2171v32013
Variable Bitrate Neural Fields
Towaki Takikawa, Alex Evans, Jonathan Tremblay +4
cs.CVcs.GRcs.LGarXiv:2206.07707v12022
A Priori Estimates of the Population Risk for Two-layer Neural Networks
Weinan E, Chao Ma, Lei Wu
stat.MLcs.LGmath.STarXiv:1810.06397v32018
ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
Tonghe Zhang, Chao Yu, Sichang Su +1
cs.ROcs.LGarXiv:2505.22094v72025
Understanding and mitigating gradient pathologies in physics-informed neural networks
Sifan Wang, Yujun Teng, Paris Perdikaris
cs.LGmath.NAstat.MLarXiv:2001.04536v12020
Amortized Off-Policy Evaluation for LLMs
Younwoo Choi, Leo Feng, Vincent Liu +1
cs.LGarXiv:2610.10848v12026
Does VLA Even Know the Basics? Measuring Commonsense and World Knowledge Retention in Vision-Language-Action Models
Nikita Kachaev, Andrey Moskalenko, Matvey Skripkin +10
cs.LGcs.ROarXiv:2606.19297v12026
Real Long-Term Memory for AI: A 50-Million-Token Window That Is Faster and Cheaper Than Recompute
Sietse Schelpe
cs.CLcs.AIcs.DCarXiv:2610.10845v12026
The on-line shortest path problem under partial monitoring
Andras Gyorgy, Tamas Linder, Gabor Lugosi +1
cs.LGcs.SCarXiv:0704.1020v12007
Parametrized quantum policies for reinforcement learning
Sofiene Jerbi, Casper Gyurik, Simon C. Marshall +2
quant-phcs.AIcs.LGarXiv:2103.05577v22021
AI Poincaré: Machine Learning Conservation Laws from Trajectories
Ziming Liu, Max Tegmark
cs.LGastro-ph.EPnlin.SIarXiv:2011.04698v22020
Understanding overfitting in random forest for probability estimation: a visualization and simulation study
Lasai Barreñada, Paula Dhiman, Dirk Timmerman +2
stat.MEcs.CYcs.LGarXiv:2402.18612v22024
The Importance of Pessimism in Fixed-Dataset Policy Optimization
Jacob Buckman, Carles Gelada, Marc G. Bellemare
cs.AIcs.LGarXiv:2009.06799v32020
Continuous Diffusion Scales Competitively with Discrete Diffusion for Language
Zhihan Yang, Wei Guo, Shuibai Zhang +5
cs.CLcs.AIcs.LGarXiv:2605.18530v22026
Discovering Neural Wirings
Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari
cs.LGcs.CVcs.NEarXiv:1906.00586v52019
Receiver-Surface Hit Patterns via Legendre Approximation for Molecular Signal Detection
Yasin Bastug, Erencem Ozbey, H. Birkan Yilmaz
cs.ITcs.LGmath.ITarXiv:2609.12089v12026
Column Networks for Collective Classification
Trang Pham, Truyen Tran, Dinh Phung +1
cs.LGcs.AIstat.MLarXiv:1609.04508v22016
Self-Rewarding Sequential Monte Carlo for Masked Diffusion Language Models
Ziwei Luo, Ziqi Jin, Lei Wang +2
cs.LGarXiv:2602.01849v12026
IDSPACE: A Novel Document Generator for Reliable Evaluation of Digital Identity Verification Systems [Extended Technical Report]
Lulu Xie, Yancheng Wang, Kanchan Chowdhury +3
cs.CVcs.LGarXiv:2609.03052v12026
Improving Policy Optimization with Generalist-Specialist Learning
Zhiwei Jia, Xuanlin Li, Zhan Ling +3
cs.LGarXiv:2206.12984v12022
Evaluating Rubric Generation with Interventional Transfer
Erik Skalnes, Layne C. Price, Raviteja Anantha +1
cs.LGarXiv:2610.10809v12026
Private Stochastic Convex Optimization with Optimal Rates
Raef Bassily, Vitaly Feldman, Kunal Talwar +1
cs.LGcs.CRcs.DSarXiv:1908.09970v12019
Resolution-Aware Experimental Design under Partial Identifiability
Sofianos Panagiotis Fotias
cs.LGarXiv:2609.03686v12026
Dermatologist Level Dermoscopy Skin Cancer Classification Using Different Deep Learning Convolutional Neural Networks Algorithms
Amirreza Rezvantalab, Habib Safigholi, Somayeh Karimijeshni
cs.CVcs.LGstat.MLarXiv:1810.10348v12018
Drift Variation Autoencoder: Unifying Generation and Representation Learning through Conditional Posterior Flow Matching
Jiarui Cao
cs.LGcs.AIarXiv:2608.25138v12026
Predicting Privacy Leakage from Weight Spectral Density
Richard J. Preen, Jim Smith
cs.LGcs.CRcs.NEarXiv:2609.11780v12026
Enforcing Dirichlet Boundary Conditions in Operator Learning
Andrew M. Stuart, Margaret Trautner
math.NAcs.LGarXiv:2608.27256v12026
Invariant Information Bottleneck for Domain Generalization
Bo Li, Yifei Shen, Yezhen Wang +6
cs.LGstat.MLarXiv:2106.06333v62021
Resilient Concurrent Causal Discovery for Topological Event Sequences
Jiyu Tian, Junhao Dong, Mingchu Li +5
cs.LGarXiv:2608.21815v12026
A Finite Time Analysis of Two Time-Scale Actor Critic Methods
Yue Wu, Weitong Zhang, Pan Xu +1
cs.LGmath.OCstat.MLarXiv:2005.01350v32020
How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
Ziwen Xu, Haiwen Hong, Linsong Yu +4
cs.CLcs.AIcs.CVarXiv:2605.30260v12026
Seeing Before Reasoning: Decoupling Perception and Reasoning for Shortcut-Resilient Multimodal On-Policy Self-Distillation
Sihan Wang, Xiyao Liu, Lianqing Liu +1
cs.LGcs.CVarXiv:2606.19120v22026
Orthogonal Statistical Learning
Dylan J. Foster, Vasilis Syrgkanis
math.STcs.LGecon.EMarXiv:1901.09036v42019
DeepTopoClustering: Unsupervised Derivation of Surface Process Taxonomy from 4D Point Clouds for Topographic Monitoring
Jiapan Wang, Daan Hulskemper, Mathilde Letard +2
cs.CVcs.LGarXiv:2610.09860v12026
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences
Chi Jin, Yuchen Zhang, Sivaraman Balakrishnan +2
stat.MLcs.LGmath.OCarXiv:1609.00978v12016
NEMORA: Neural Equivariant Multipole Operators for Long-Range Atomistic Learning
Jay L. Kaplan, Samuel Varner, Rebecca Willett +1
cs.LGphysics.chem-phphysics.comp-pharXiv:2610.10776v12026
Can Generalist Agents Automate Data Curation?
Feiyang Kang, Hanze Li, Adam Nguyen +5
cs.AIcs.CLcs.CVarXiv:2606.04261v12026
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
Albert Q. Jiang, Sean Welleck, Jin Peng Zhou +6
cs.AIcs.LGarXiv:2210.12283v32022
Efficient Diffusion Policies for Offline Reinforcement Learning
Bingyi Kang, Xiao Ma, Chao Du +2
cs.LGcs.AIarXiv:2305.20081v22023
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
Malte J. Rasch, Charles Mackin, Manuel Le Gallo +10
cs.LGcs.ETarXiv:2302.08469v12023
Lazier Than Lazy Greedy
Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi +2
cs.LGcs.DScs.IRarXiv:1409.7938v32014
On the Importance and Applicability of Pre-Training for Federated Learning
Hong-You Chen, Cheng-Hao Tu, Ziwei Li +2
cs.LGcs.AIcs.CVarXiv:2206.11488v32022
ObserverBench: Testing Mechanistic Estimates for Intervention and Control
Vijay Erramilli
cs.LGcs.AIarXiv:2609.03026v12026
Evaluation of Session-based Recommendation Algorithms
Malte Ludewig, Dietmar Jannach
cs.IRcs.AIcs.LGarXiv:1803.09587v22018
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
Cody Watson, Nathan Cooper, David Nader Palacio +2
cs.SEcs.AIcs.LGarXiv:2009.06520v22020
From Sentiment Classification to Actionable and Responsible Feedback: A Scoping Review and Evidence Map of NLP in Student Evaluation of Teaching, 2015-2026
Jeff Eicher, Rafael da Silva
cs.CLcs.LGarXiv:2609.27939v12026

Machine Learning

SceneJail: Exploiting Video Scenario Context to Jailbreak Multimodal LLMs

LINE: Large-scale Information Network Embedding

ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning

Rethinking Machine Unlearning for Large Language Models

Rethinking Relative Policy Differences Transfer of On-Policy Distillation

Shape irregularity of Life-Like Network Automaton rules as an indicator of classification performance

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization

The Era of Real-World Human Interaction: RL from User Conversations

Unmerge: Efficient Machine Unlearning via Task Arithmetic

Rare Gate Disagreements Can Limit Plasticity: When Gradient Flow Mispredicts Finite-Batch SGD

Automatic Posterior Transformation for Likelihood-Free Inference

Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup

Spatial Feature-wise Linear Modulation (SpFiLM) for Contrast Agent-Aware Brain Parcellation

bartMachine: Machine Learning with Bayesian Additive Regression Trees

Variable Bitrate Neural Fields

A Priori Estimates of the Population Risk for Two-layer Neural Networks

ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning

Understanding and mitigating gradient pathologies in physics-informed neural networks

Amortized Off-Policy Evaluation for LLMs

Does VLA Even Know the Basics? Measuring Commonsense and World Knowledge Retention in Vision-Language-Action Models

Real Long-Term Memory for AI: A 50-Million-Token Window That Is Faster and Cheaper Than Recompute

The on-line shortest path problem under partial monitoring

Parametrized quantum policies for reinforcement learning

AI Poincaré: Machine Learning Conservation Laws from Trajectories

Understanding overfitting in random forest for probability estimation: a visualization and simulation study

The Importance of Pessimism in Fixed-Dataset Policy Optimization

Continuous Diffusion Scales Competitively with Discrete Diffusion for Language

Discovering Neural Wirings

Receiver-Surface Hit Patterns via Legendre Approximation for Molecular Signal Detection

Column Networks for Collective Classification

Self-Rewarding Sequential Monte Carlo for Masked Diffusion Language Models

IDSPACE: A Novel Document Generator for Reliable Evaluation of Digital Identity Verification Systems [Extended Technical Report]

Improving Policy Optimization with Generalist-Specialist Learning

Evaluating Rubric Generation with Interventional Transfer

Private Stochastic Convex Optimization with Optimal Rates

Resolution-Aware Experimental Design under Partial Identifiability

Dermatologist Level Dermoscopy Skin Cancer Classification Using Different Deep Learning Convolutional Neural Networks Algorithms

Drift Variation Autoencoder: Unifying Generation and Representation Learning through Conditional Posterior Flow Matching

Predicting Privacy Leakage from Weight Spectral Density

Enforcing Dirichlet Boundary Conditions in Operator Learning

Invariant Information Bottleneck for Domain Generalization

Resilient Concurrent Causal Discovery for Topological Event Sequences

A Finite Time Analysis of Two Time-Scale Actor Critic Methods

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning

Seeing Before Reasoning: Decoupling Perception and Reasoning for Shortcut-Resilient Multimodal On-Policy Self-Distillation

Orthogonal Statistical Learning

DeepTopoClustering: Unsupervised Derivation of Surface Process Taxonomy from 4D Point Clouds for Topographic Monitoring

Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences

NEMORA: Neural Equivariant Multipole Operators for Long-Range Atomistic Learning

Can Generalist Agents Automate Data Curation?

Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs

Efficient Diffusion Policies for Offline Reinforcement Learning

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators

Lazier Than Lazy Greedy

On the Importance and Applicability of Pre-Training for Federated Learning

ObserverBench: Testing Mechanistic Estimates for Intervention and Control

Evaluation of Session-based Recommendation Algorithms

A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research

From Sentiment Classification to Actionable and Responsible Feedback: A Scoping Review and Evidence Map of NLP in Student Evaluation of Teaching, 2015-2026