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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23,581 to 23,640 of 33,311

Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought
Hanlin Zhu, Shibo Hao, Zhiting Hu +3
cs.LGarXiv:2505.12514v32025
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks, Mantas Mazeika, Saurav Kadavath +1
cs.LGcs.CVstat.MLarXiv:1906.12340v22019
Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests
Thanawat Lodkaew, Johannes Ackermann, Soichiro Nishimori +3
cs.LGcs.AIcs.CLarXiv:2606.07379v22026
On-Policy Delta Distillation for Multilingual Math Reasoning
Byeongho Heo, Jaehui Hwang, Sangdoo Yun +1
cs.CLcs.LGarXiv:2608.05802v12026
FRESHLATENT: Channel-Aware Latent Adaptation for Resource-Constrained Embodied VLM Perception
Rajat Bhattacharjya, Minwoo Kim, Arnab Sarkar +5
eess.SPcs.CVcs.DCarXiv:2609.30629v12026
CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training
Jing Li, Jian Meng, Yingmeng Gao +8
cs.LGcs.AIarXiv:2610.05744v12026
SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap
Tae Ha Park, Marcus Märtens, Gurvan Lecuyer +2
cs.CVcs.LGarXiv:2110.03101v22021
LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
Joon Sung Park, Carolyn Q. Zou, Jonne Kamphorst +8
cs.AIcs.HCcs.LGarXiv:2411.10109v32024
Just Weather Scoring: Efficient End-to-end Nowcasting with Distributional Diffusion
Jannik Wiese, Johannes Schusterbauer, Tommaso Martorella +1
cs.LGcs.CVarXiv:2610.12189v12026
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
Marc Brockschmidt
cs.LGstat.MLarXiv:1906.12192v52019
Sharp analysis of low-rank kernel matrix approximations
Francis Bach
cs.LGmath.STarXiv:1208.2015v32012
Incremental Learning Through Deep Adaptation
Amir Rosenfeld, John K. Tsotsos
cs.CVcs.LGarXiv:1705.04228v22017
Multimodal Model Diffing for Feature Discovery and Control
Hunar Batra, Lachin Naghashyar, Ashkan Khakzar +4
cs.CVcs.AIcs.CLarXiv:2608.09928v12026
Latent unified smooth Hamiltonians for excited state chemistry
David Juergens, Martin Stöhr, Andreas E. Hillers-Bendtsen +2
physics.chem-phcs.LGarXiv:2609.01871v12026
Meta-learning via Language Model In-context Tuning
Yanda Chen, Ruiqi Zhong, Sheng Zha +2
cs.CLcs.LGarXiv:2110.07814v22021
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
Diederik P. Kingma, Ruiqi Gao
cs.LGcs.AIstat.MLarXiv:2303.00848v72023
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

Machine Learning

Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought

Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty

Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests

On-Policy Delta Distillation for Multilingual Math Reasoning

FRESHLATENT: Channel-Aware Latent Adaptation for Resource-Constrained Embodied VLM Perception

CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training

SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap

LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Just Weather Scoring: Efficient End-to-end Nowcasting with Distributional Diffusion

GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation

Sharp analysis of low-rank kernel matrix approximations

Incremental Learning Through Deep Adaptation

Multimodal Model Diffing for Feature Discovery and Control

Latent unified smooth Hamiltonians for excited state chemistry

Meta-learning via Language Model In-context Tuning

Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation

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