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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26,101 to 26,160 of 33,229

Causal Discovery in Physical Systems from Videos
Yunzhu Li, Antonio Torralba, Animashree Anandkumar +2
cs.LGcs.CVstat.MLarXiv:2007.00631v32020
Do I Need the Cloud? Uncertainty-Aware Step-Level Handoff for Small Language Model Agents
Abolfazl Younesi
cs.AIcs.DCcs.ETarXiv:2610.07816v12026
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira +3
cs.CVcs.CRcs.LGarXiv:1811.09600v32018
Adversarial Attacks on Node Embeddings via Graph Poisoning
Aleksandar Bojchevski, Stephan Günnemann
cs.LGcs.CRcs.SIarXiv:1809.01093v32018
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
Angelika Ando, Spyros Gidaris, Andrei Bursuc +3
cs.CVcs.AIcs.LGarXiv:2301.10222v22023
On Constrained Spectral Clustering and Its Applications
Xiang Wang, Buyue Qian, Ian Davidson
cs.LGstat.MLarXiv:1201.5338v22012
LSQ+: Improving low-bit quantization through learnable offsets and better initialization
Yash Bhalgat, Jinwon Lee, Markus Nagel +2
cs.CVcs.LGstat.MLarXiv:2004.09576v12020
Navigation World Models
Amir Bar, Gaoyue Zhou, Danny Tran +2
cs.CVcs.AIcs.LGarXiv:2412.03572v22024
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
Andy Zhou, Bo Li, Haohan Wang
cs.LGcs.AIcs.CLarXiv:2401.17263v52024
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
Oron Anschel, Nir Baram, Nahum Shimkin
cs.AIcs.LGstat.MLarXiv:1611.01929v42016
Reward Hacking Challenges Oversight of Autonomous Research Agents
Yue Huang, Zhangchen Xu, Yuchen Ma +12
cs.CLcs.LGarXiv:2609.28614v12026
VeLO: Training Versatile Learned Optimizers by Scaling Up
Luke Metz, James Harrison, C. Daniel Freeman +8
cs.LGmath.OCstat.MLarXiv:2211.09760v12022
HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants
Benjamin Sturgeon, Daniel Samuelson, Jacob Haimes +1
cs.CYcs.AIcs.CLarXiv:2509.08494v22025
Simulating Cognitive Smart Freight Corridors with Agent-Based Models and Reinforcement Learning
Madelaine Martinez-Ferguson, Chun Wang, Mustafa Can Camur +1
cs.ETcs.LGarXiv:2608.25193v12026
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Oded Ovadia, Menachem Brief, Moshik Mishaeli +1
cs.AIcs.CLcs.LGarXiv:2312.05934v32023
Large Language Models for Code: Security Hardening and Adversarial Testing
Jingxuan He, Martin Vechev
cs.CRcs.LGcs.PLarXiv:2302.05319v52023
Benchmarks Saturate When The Model Gets Smarter Than The Judge
Marthe Ballon, Andres Algaba, Brecht Verbeken +1
cs.AIcs.CLcs.LGarXiv:2601.19532v12026
Knowledge Inheritance for Pre-trained Language Models
Yujia Qin, Yankai Lin, Jing Yi +8
cs.CLcs.AIcs.LGarXiv:2105.13880v22021
Harnessing the Universal Geometry of Embeddings
Rishi Jha, Collin Zhang, Vitaly Shmatikov +1
cs.LGarXiv:2505.12540v42025
APEX: Speculate smarter, not deeper
Manvi Jha, Zach Zhang, Zhichao Xu +3
cs.CLcs.LGarXiv:2610.07780v12026
Robust Counterfactual Explanations on Graph Neural Networks
Mohit Bajaj, Lingyang Chu, Zi Yu Xue +4
cs.LGcs.AIarXiv:2107.04086v32021
A review of learning vector quantization classifiers
David Nova, Pablo A. Estevez
cs.LGastro-ph.IMcs.NEarXiv:1509.07093v12015
Towards One-for-All Foundation Model for Attributed Graph Clustering
Yunhui Liu, Xudong Jin, Kang Zhang +5
cs.LGcs.AIarXiv:2610.07778v12026
Towards Understanding Regularization in Batch Normalization
Ping Luo, Xinjiang Wang, Wenqi Shao +1
cs.LGcs.CVeess.SYarXiv:1809.00846v42018
Multiple Source Adaptation and the Renyi Divergence
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
cs.LGstat.MLarXiv:1205.2628v12012
Deep Networks with Internal Selective Attention through Feedback Connections
Marijn Stollenga, Jonathan Masci, Faustino Gomez +1
cs.CVcs.LGcs.NEarXiv:1407.3068v22014
Towards Hierarchical GNNs for multi-grid power flow: generalization across operating scenarios
Carmine Delle Femine, Leire Garin Atxaga, Asier Diaz-Iglesias +3
cs.LGcs.AIarXiv:2609.26603v12026
Measuring the tendency of CNNs to Learn Surface Statistical Regularities
Jason Jo, Yoshua Bengio
cs.LGstat.MLarXiv:1711.11561v12017
GET: Generative Embedding Translation for Medical Image Segmentation
Md Maklachur Rahman, Md Hasan Al Banna, Saraf Anjum +2
eess.IVcs.CVcs.LGarXiv:2608.22619v12026
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
Gihun Lee, Minchan Jeong, Yongjin Shin +2
cs.LGcs.AIcs.CVarXiv:2106.03097v52021
Projected Subgradient Methods for Learning Sparse Gaussians
John Duchi, Stephen Gould, Daphne Koller
cs.LGstat.MLarXiv:1206.3249v12012
ANO : Faster is Better in Noisy Landscape
Adrien Kegreisz
cs.LGcs.AIarXiv:2508.18258v22025
Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention
Jing Huang, Daniel Wurgaft, Rachit Bansal +6
cs.LGarXiv:2605.29548v22026
Relatively Smart II: Tractable or Semi-Supervised Instance-Optimal Learning
Shaddin Dughmi, Alireza F. Pour
cs.LGstat.MLarXiv:2609.10886v12026
Trustworthy Method Comparison with AI Judges: Estimation and Design under Order, Batch, and Aggregation Effects
Tianxi Li, Jie Ding
stat.MLcs.LGstat.AParXiv:2610.07755v12026
Lipschitz Recurrent Neural Networks
N. Benjamin Erichson, Omri Azencot, Alejandro Queiruga +2
cs.LGmath.DSstat.MLarXiv:2006.12070v32020
Deep learning-based super-resolution in coherent imaging systems
Tairan Liu, Kevin de Haan, Yair Rivenson +4
cs.CVcs.LGphysics.app-pharXiv:1810.06611v12018
Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents
Xuehai Wang, Haowei Qin, Tongxin Liu +6
cs.CLcs.AIcs.IRarXiv:2608.31076v12026
Matérn Gaussian processes on Riemannian manifolds
Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky +1
stat.MLcs.LGarXiv:2006.10160v62020
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
Ruihan Yang, Minghao Zhang, Nicklas Hansen +2
cs.LGcs.CVcs.ROarXiv:2107.03996v32021
On the Foundations of Shortcut Learning
Katherine L. Hermann, Hossein Mobahi, Thomas Fel +1
cs.LGcs.CVarXiv:2310.16228v22023
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Wenhu Chen, Hexiang Hu, Chitwan Saharia +1
cs.CVcs.AIcs.LGarXiv:2209.14491v32022
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting
Shuo Wang, Yanran Li, Jiang Zhang +3
eess.SPcs.LGeess.IVarXiv:2002.12898v22020
Micro-Defects Expose Macro-Fakes: Detecting AI-Generated Images via Local Distributional Shifts
Boxuan Zhang, Jianing Zhu, Qifan Wang +2
cs.CVcs.AIcs.LGarXiv:2605.09296v12026
RanPAC: Random Projections and Pre-trained Models for Continual Learning
Mark D. McDonnell, Dong Gong, Amin Parveneh +2
cs.LGcs.CVarXiv:2307.02251v32023
Advancing LLM Reasoning Generalists with Preference Trees
Lifan Yuan, Ganqu Cui, Hanbin Wang +12
cs.AIcs.CLcs.LGarXiv:2404.02078v12024
Causal Abstractions of Neural Networks
Atticus Geiger, Hanson Lu, Thomas Icard +1
cs.AIcs.LGarXiv:2106.02997v22021
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning
Sheng Li, Jayesh K. Gupta, Peter Morales +2
cs.LGcs.AIcs.MAarXiv:2006.11438v22020
Deepr: A Convolutional Net for Medical Records
Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe +1
stat.MLcs.LGarXiv:1607.07519v12016
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
Simon A. Aytes, Jinheon Baek, Sung Ju Hwang
cs.CLcs.AIcs.LGarXiv:2503.05179v42025
Accurate Genomic Prediction Of Human Height
Louis Lello, Steven G. Avery, Laurent Tellier +3
q-bio.GNcs.LGq-bio.QMarXiv:1709.06489v12017
Learning to Predict the Cosmological Structure Formation
Siyu He, Yin Li, Yu Feng +4
astro-ph.COcs.AIcs.LGarXiv:1811.06533v22018
Robust Sound Source Tracking Using SRP-PHAT and 3D Convolutional Neural Networks
David Diaz-Guerra, Antonio Miguel, Jose R. Beltran
eess.AScs.LGcs.SDarXiv:2006.09006v22020
RAZOR: Pruning Replaceable Experts in LLMs
Mingyang Song, Mao Zheng
cs.LGcs.CLarXiv:2609.30465v22026
Clustering with t-SNE, provably
George C. Linderman, Stefan Steinerberger
cs.LGstat.MLarXiv:1706.02582v12017
COT-GAN: Generating Sequential Data via Causal Optimal Transport
Tianlin Xu, Li K. Wenliang, Michael Munn +1
stat.MLcs.LGarXiv:2006.08571v22020
BRFID: Toward Byzantine-Robust Federated Intrusion Detection
Asmah Muallem, Firdous Kausar, Sajid Hussain +1
cs.CRcs.LGarXiv:2609.28599v12026
High-dimensional online calibration from harmonic weights
Maxwell Fishelson, Mehryar Mohri
stat.MLcs.LGarXiv:2610.07740v12026
Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic Shuffle
Linghao Zhu, Yiran Guan, Dingkang Liang +6
cs.LGcs.AIarXiv:2508.05612v62025
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang +1
cs.LGcs.CRcs.DBarXiv:0911.5708v12009

Machine Learning

Causal Discovery in Physical Systems from Videos

Do I Need the Cloud? Uncertainty-Aware Step-Level Handoff for Small Language Model Agents

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

Adversarial Attacks on Node Embeddings via Graph Poisoning

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving

On Constrained Spectral Clustering and Its Applications

LSQ+: Improving low-bit quantization through learnable offsets and better initialization

Navigation World Models

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning

Reward Hacking Challenges Oversight of Autonomous Research Agents

VeLO: Training Versatile Learned Optimizers by Scaling Up

HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants

Simulating Cognitive Smart Freight Corridors with Agent-Based Models and Reinforcement Learning

Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs

Large Language Models for Code: Security Hardening and Adversarial Testing

Benchmarks Saturate When The Model Gets Smarter Than The Judge

Knowledge Inheritance for Pre-trained Language Models

Harnessing the Universal Geometry of Embeddings

APEX: Speculate smarter, not deeper

Robust Counterfactual Explanations on Graph Neural Networks

A review of learning vector quantization classifiers

Towards One-for-All Foundation Model for Attributed Graph Clustering

Towards Understanding Regularization in Batch Normalization

Multiple Source Adaptation and the Renyi Divergence

Deep Networks with Internal Selective Attention through Feedback Connections

Towards Hierarchical GNNs for multi-grid power flow: generalization across operating scenarios

Measuring the tendency of CNNs to Learn Surface Statistical Regularities

GET: Generative Embedding Translation for Medical Image Segmentation

Preservation of the Global Knowledge by Not-True Distillation in Federated Learning

Projected Subgradient Methods for Learning Sparse Gaussians

ANO : Faster is Better in Noisy Landscape

Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention

Relatively Smart II: Tractable or Semi-Supervised Instance-Optimal Learning

Trustworthy Method Comparison with AI Judges: Estimation and Design under Order, Batch, and Aggregation Effects

Lipschitz Recurrent Neural Networks

Deep learning-based super-resolution in coherent imaging systems

Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents

Matérn Gaussian processes on Riemannian manifolds

Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers

On the Foundations of Shortcut Learning

Re-Imagen: Retrieval-Augmented Text-to-Image Generator

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

Micro-Defects Expose Macro-Fakes: Detecting AI-Generated Images via Local Distributional Shifts

RanPAC: Random Projections and Pre-trained Models for Continual Learning

Advancing LLM Reasoning Generalists with Preference Trees

Causal Abstractions of Neural Networks

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

Deepr: A Convolutional Net for Medical Records

Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Accurate Genomic Prediction Of Human Height

Learning to Predict the Cosmological Structure Formation

Robust Sound Source Tracking Using SRP-PHAT and 3D Convolutional Neural Networks

RAZOR: Pruning Replaceable Experts in LLMs

Clustering with t-SNE, provably

COT-GAN: Generating Sequential Data via Causal Optimal Transport

BRFID: Toward Byzantine-Robust Federated Intrusion Detection

High-dimensional online calibration from harmonic weights

Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic Shuffle

Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning