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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23,521 to 23,580 of 33,235

Steered LLM Activations are Non-Surjective
Aayush Mishra, Daniel Khashabi, Anqi Liu
cs.AIcs.LGarXiv:2604.09839v22026
Human-JEPA: A Human-Centric Vision Model that Perceives and Anticipates
Hui Wei, Licai Sun, Guoying Zhao
cs.CVcs.LGarXiv:2608.21160v12026
Do LLMs Understand Context? A Knowledge Graph-Based Evaluation Framework
Subavarshana Arumugam, Mamta Nallaretnam, Kithuni Wickramasinghe +4
cs.AIcs.LGarXiv:2609.30484v12026
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi, Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.ROarXiv:1812.07671v22018
Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components
Cumhur Erkan Tuncali, Georgios Fainekos, Danil Prokhorov +2
cs.ROcs.LGcs.SEarXiv:1908.01094v12019
How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance
Jerry Y. Huang, Justin Lin, Sheel Shah +2
cs.LGcs.AIarXiv:2604.27147v32026
Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel
Tai Qin, Karl Rohe
stat.MLcs.LGmath.STarXiv:1309.4111v12013
Risk and parameter convergence of logistic regression
Ziwei Ji, Matus Telgarsky
cs.LGmath.OCstat.MLarXiv:1803.07300v32018
Mixture of Channel Experts: Static Sparse Supports with Input-Adaptive Mixing for Pointwise Projections
Elian Iluk, Gil Ben-Artzi
cs.LGcs.CVarXiv:2608.23794v12026
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang
cs.LGcs.DScs.NEarXiv:1811.04918v62018
Conformal Prediction: a Unified Review of Theory and New Challenges
Matteo Fontana, Gianluca Zeni, Simone Vantini
cs.LGecon.EMstat.MEarXiv:2005.07972v22020
A Survey on Time-Series Pre-Trained Models
Qianli Ma, Zhen Liu, Zhenjing Zheng +4
cs.LGcs.AIarXiv:2305.10716v22023
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
Limeng Qiao, Yemin Shi, Jia Li +3
cs.LGcs.CVarXiv:1910.02224v12019
Building Machines that Learn and Think with People
Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt +10
cs.HCcs.AIcs.LGarXiv:2408.03943v12024
When KL Regularization Misfires in Group Policy Optimization
Fei Ding
cs.LGcs.CLarXiv:2610.12161v12026
TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement
Karim Aly, Alexei Sharpanskykh, Jacco Hoekstra
cs.LGcs.AIarXiv:2608.11951v12026
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks
Brian Kenji Iwana, Seiichi Uchida
cs.LGstat.MLarXiv:2007.15951v42020
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
Mateusz Pach, Shyamgopal Karthik, Quentin Bouniot +2
cs.CVcs.AIcs.LGarXiv:2504.02821v32025
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control
Sai Qian Zhang, Qi Zhang, Jieyu Lin
cs.LGstat.MLarXiv:1909.02682v22019
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
Jiasheng Ye, Peiju Liu, Tianxiang Sun +3
cs.CLcs.AIcs.LGarXiv:2403.16952v22024
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference
Klas Leino, Matt Fredrikson
cs.LGcs.CRstat.MLarXiv:1906.11798v22019
Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning
Ang Li, Charles Wang, Deqing Fu +9
cs.CVcs.CLcs.LGarXiv:2507.16746v22025
DsDm: Model-Aware Dataset Selection with Datamodels
Logan Engstrom, Axel Feldmann, Aleksander Madry
cs.LGstat.MLarXiv:2401.12926v12024
Generalized Inner Loop Meta-Learning
Edward Grefenstette, Brandon Amos, Denis Yarats +6
cs.LGstat.MLarXiv:1910.01727v22019
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov +1
cs.CLcs.LGarXiv:1711.03953v42017
VisPlay: Self-Evolving Vision-Language Models from Images
Yicheng He, Chengsong Huang, Zongxia Li +2
cs.CVcs.AIcs.CLarXiv:2511.15661v22025
VG-TIE: An interpretable tabular-to-image encoding method based on visibility graphs
David Chushig-Muzo, Luis M. López-Ramos, Ángeles Rodríguez de Cara +3
cs.CVcs.LGarXiv:2609.29650v12026
Training Compute Thresholds: Features and Functions in AI Regulation
Lennart Heim, Leonie Koessler
cs.CYcs.LGarXiv:2405.10799v22024
LatentVerse: A Framework for Understanding Shared and Modality-Specific Information in Multimodal Latent Representations
Majd Alafrange, Samuel Friedman, John Kitonyo +2
cs.LGcs.HCarXiv:2609.12364v12026
NVE: A Separability and Coverage-Aware Internal Validation Metric for Biclustering
Paritosh Tiwari, I Navin Kumar, James C. Bezdek +1
cs.LGarXiv:2608.29045v12026
FinTRec: Transformer Based Unified Contextual Ads Targeting and Personalization for Financial Applications
Dwipam Katariya, Snehita Varma, Akshat Shreemali +3
cs.LGarXiv:2511.14865v12025
Nonlinear Information Bottleneck
Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert
cs.ITcs.LGstat.MLarXiv:1705.02436v92017
MergeDNA: Context-aware Genome Modeling with Dynamic Tokenization through Token Merging
Siyuan Li, Kai Yu, Anna Wang +7
q-bio.GNcs.AIcs.LGarXiv:2511.14806v12025
Movement Pruning: Adaptive Sparsity by Fine-Tuning
Victor Sanh, Thomas Wolf, Alexander M. Rush
cs.CLcs.LGarXiv:2005.07683v22020
MomentQuant: an even more minimalist interval method with linear time complexity for time series classification
Johann Faouzi
cs.LGarXiv:2609.05136v12026
Efficient Defenses Against Adversarial Attacks
Valentina Zantedeschi, Maria-Irina Nicolae, Ambrish Rawat
cs.LGarXiv:1707.06728v22017
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy
Natalia Ponomareva, Hussein Hazimeh, Alex Kurakin +6
cs.LGcs.CRstat.MLarXiv:2303.00654v32023
Shortcut-Stacked Sentence Encoders for Multi-Domain Inference
Yixin Nie, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:1708.02312v22017
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration
Yuhang Li, Ruokai Yin, Donghyun Lee +2
cs.LGarXiv:2504.02692v32025
The spatial anatomy of urban wildfire vulnerability: a spatially validated GeoAI framework reveals the roles of building density and vegetation moisture in structure loss during the 2025 Palisades Fire
Parastoo Farajpoor, Mohammadreza Narimani
physics.geo-phcs.LGeess.IVarXiv:2608.22293v12026
Could LLM Watermark Detection be Public?
Georgios Milis, Tom Sander, Tomáš Souček +2
cs.CRcs.LGarXiv:2610.12106v12026
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation
Yuzhe Qin, Binghao Huang, Zhao-Heng Yin +2
cs.ROcs.CVcs.LGarXiv:2211.09423v22022
Revalidation Beats Stateful Routing for Scientific Surrogates Under Distribution Shift
Harshil Lodhiya
cs.LGcs.AIarXiv:2609.29715v12026
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility
Wentao Ye, Mingfeng Ou, Tianyi Li +8
cs.LGcs.AIarXiv:2305.10235v42023
Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models
Xiaolei Ma, Yi Li, Zhiyong Cui +1
cs.LGstat.MLarXiv:1811.04745v12018
ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
Chi-Pin Huang, Yueh-Hua Wu, Min-Hung Chen +2
cs.CVcs.AIcs.LGarXiv:2507.16815v22025
Simple Feedfoward Neural Networks are Almost All You Need for Time Series Forecasting
Fan-Keng Sun, Yu-Cheng Wu, Duane S. Boning
cs.LGarXiv:2503.23621v12025
World Action Models are Zero-shot Policies
Seonghyeon Ye, Yunhao Ge, Kaiyuan Zheng +33
cs.ROcs.CVcs.LGarXiv:2602.15922v12026
Deep learning cardiac motion analysis for human survival prediction
Ghalib A. Bello, Timothy J. W. Dawes, Jinming Duan +8
cs.LGcs.CVstat.MLarXiv:1810.03382v12018
Few-Step Generation via Data-Space Iteration
Shanchuan Lin, Yansong Peng, Fu-Yun Wang +1
cs.LGcs.CVarXiv:2610.12102v12026
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations
Caglar Aytekin, Xingyang Ni, Francesco Cricri +1
cs.LGarXiv:1802.00187v12018
P1: Mastering Physics Olympiads with Reinforcement Learning
Jiacheng Chen, Qianjia Cheng, Fangchen Yu +25
cs.LGcs.AIcs.CLarXiv:2511.13612v12025
Reverse Curriculum Generation for Reinforcement Learning
Carlos Florensa, David Held, Markus Wulfmeier +2
cs.AIcs.LGcs.NEarXiv:1707.05300v32017
Differentiable Systematic Resampling for Variational Sequential Monte Carlo
Fredrik Cumlin, Saikat Chatterjee
stat.MLcs.LGeess.SParXiv:2610.12094v12026
TopRank: A practical algorithm for online stochastic ranking
Tor Lattimore, Branislav Kveton, Shuai Li +1
stat.MLcs.LGarXiv:1806.02248v22018
Decoupling Knowledge and Privacy: Post-Task Self-Distillation Replay for LLM Continual Learning
Shengtao Wen, Yunying Yang, Xiang Chen +3
cs.LGcs.AIarXiv:2609.29711v12026
Improving Vision-Language-Action Model with Online Reinforcement Learning
Yanjiang Guo, Jianke Zhang, Xiaoyu Chen +4
cs.ROcs.CVcs.LGarXiv:2501.16664v12025
Scaling Laws for Generative Mixed-Modal Language Models
Armen Aghajanyan, Lili Yu, Alexis Conneau +7
cs.CLcs.AIcs.LGarXiv:2301.03728v12023
Smoothed Dilated Convolutions for Improved Dense Prediction
Zhengyang Wang, Shuiwang Ji
cs.CVcs.LGarXiv:1808.08931v22018
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Yuda Song, Hanlin Zhang, Carson Eisenach +3
cs.CLcs.LGarXiv:2412.02674v22024

Machine Learning

Steered LLM Activations are Non-Surjective

Human-JEPA: A Human-Centric Vision Model that Perceives and Anticipates

Do LLMs Understand Context? A Knowledge Graph-Based Evaluation Framework

Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL

Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance

Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel

Risk and parameter convergence of logistic regression

Mixture of Channel Experts: Static Sparse Supports with Input-Adaptive Mixing for Pointwise Projections

Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers

Conformal Prediction: a Unified Review of Theory and New Challenges

A Survey on Time-Series Pre-Trained Models

Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning

Building Machines that Learn and Think with People

When KL Regularization Misfires in Group Policy Optimization

TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement

An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control

Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance

Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference

Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning

DsDm: Model-Aware Dataset Selection with Datamodels

Generalized Inner Loop Meta-Learning

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

VisPlay: Self-Evolving Vision-Language Models from Images

VG-TIE: An interpretable tabular-to-image encoding method based on visibility graphs

Training Compute Thresholds: Features and Functions in AI Regulation

LatentVerse: A Framework for Understanding Shared and Modality-Specific Information in Multimodal Latent Representations

NVE: A Separability and Coverage-Aware Internal Validation Metric for Biclustering

FinTRec: Transformer Based Unified Contextual Ads Targeting and Personalization for Financial Applications

Nonlinear Information Bottleneck

MergeDNA: Context-aware Genome Modeling with Dynamic Tokenization through Token Merging

Movement Pruning: Adaptive Sparsity by Fine-Tuning

MomentQuant: an even more minimalist interval method with linear time complexity for time series classification

Efficient Defenses Against Adversarial Attacks

How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

Shortcut-Stacked Sentence Encoders for Multi-Domain Inference

GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration

The spatial anatomy of urban wildfire vulnerability: a spatially validated GeoAI framework reveals the roles of building density and vegetation moisture in structure loss during the 2025 Palisades Fire

Could LLM Watermark Detection be Public?

DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation

Revalidation Beats Stateful Routing for Scientific Surrogates Under Distribution Shift

Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility

Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning

Simple Feedfoward Neural Networks are Almost All You Need for Time Series Forecasting

World Action Models are Zero-shot Policies

Deep learning cardiac motion analysis for human survival prediction

Few-Step Generation via Data-Space Iteration

Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations

P1: Mastering Physics Olympiads with Reinforcement Learning

Reverse Curriculum Generation for Reinforcement Learning

Differentiable Systematic Resampling for Variational Sequential Monte Carlo

TopRank: A practical algorithm for online stochastic ranking

Decoupling Knowledge and Privacy: Post-Task Self-Distillation Replay for LLM Continual Learning

Improving Vision-Language-Action Model with Online Reinforcement Learning

Scaling Laws for Generative Mixed-Modal Language Models

Smoothed Dilated Convolutions for Improved Dense Prediction

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models