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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27,961 to 28,020 of 33,082

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems
Yulong Cao, Chaowei Xiao, Dawei Yang +4
cs.CRcs.CVcs.LGarXiv:1907.05418v12019
Mind the Approximation: Fisher-Weighted SVD Compression for ViTs
Moritz Thoma, Maximilian Groezinger, Maximilian Forstenhäusler +7
cs.CVcs.AIcs.LGarXiv:2609.07155v12026
Looping Beyond Twice: A Scalable Recipe for Looped Mixture-of-Experts
Di He, Pengxiang Li, Da Chang +3
cs.LGcs.AIarXiv:2610.01153v12026
Holistic Evaluation of Text-To-Image Models
Tony Lee, Michihiro Yasunaga, Chenlin Meng +15
cs.CVcs.LGarXiv:2311.04287v12023
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
Sneha Kudugunta, Isaac Caswell, Biao Zhang +8
cs.CLcs.LGarXiv:2309.04662v12023
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
Tim Dettmers, Mike Lewis, Younes Belkada +1
cs.LGcs.AIarXiv:2208.07339v22022
J-Zero: Unified Challenger--Solver--Judge Co-Evolution from Zero Data
Gyouk Chu, Myeongho Jeon, Eunho Yang
cs.LGcs.AIcs.CLarXiv:2608.26582v12026
Robust Regression and Lasso
Huan Xu, Constantine Caramanis, Shie Mannor
cs.ITcs.LGarXiv:0811.1790v12008
How Much Can Language Models Gain from Test-Time Computation?
Bangji Yang, Jingyuan Li, Jiajun Fan +8
cs.LGarXiv:2610.01110v12026
Sharp Bounds on the Approximation Rates, Metric Entropy, and $n$-widths of Shallow Neural Networks
Jonathan W. Siegel, Jinchao Xu
stat.MLcs.ITcs.LGarXiv:2101.12365v102021
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
Shengyi Huang, Santiago Ontañón
cs.LGcs.AIstat.MLarXiv:2006.14171v32020
Efficiently Modeling Long Sequences with Structured State Spaces
Albert Gu, Karan Goel, Christopher Ré
cs.LGarXiv:2111.00396v32021
Explainable Artificial Intelligence: a Systematic Review
Giulia Vilone, Luca Longo
cs.AIcs.LGarXiv:2006.00093v42020
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
Guy Revach, Nir Shlezinger, Xiaoyong Ni +3
eess.SPcs.LGstat.MLarXiv:2107.10043v32021
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei, Renchunzi Xie, Hao Cheng +3
cs.LGarXiv:2205.09310v22022
RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents
Tomoyuki Kagaya, Thong Jing Yuan, Yuxuan Lou +6
cs.LGcs.AIcs.CLarXiv:2402.03610v12024
3D Concept Learning and Reasoning from Multi-View Images
Yining Hong, Chunru Lin, Yilun Du +3
cs.CVcs.AIcs.LGarXiv:2303.11327v12023
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta +5
cs.LGcs.AIarXiv:2310.04564v12023
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni, Karthik R. Narasimhan, Ardavan Saeedi +1
cs.LGcs.AIcs.CVarXiv:1604.06057v22016
Stored in Optimizer State, Valued by Later Training: A Causal Account of Subliminal Trait Transfer
Qinyang Xu
cs.LGarXiv:2608.20442v12026
Random Vector Functional Link Networks for Function Approximation on Manifolds
Deanna Needell, Aaron A. Nelson, Rayan Saab +2
stat.MLcs.ITcs.LGarXiv:2007.15776v42020
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen +4
cs.LGarXiv:2208.06616v32022
MLP-Mixer: An all-MLP Architecture for Vision
Ilya Tolstikhin, Neil Houlsby, Alexander Kolesnikov +9
cs.CVcs.AIcs.LGarXiv:2105.01601v42021
ORCA: Hunting Compositional Failures in Text-to-Image Diffusion
Arshia Hemmat, Amirhossein Vahidi, Amitis Shidani +4
cs.CVcs.LGarXiv:2610.09841v12026
Capturing In-Context Learning Dynamics with Task Operators
Guangzhi Xiong, Zhenghao He, Bohan Liu +3
cs.CLcs.AIcs.LGarXiv:2610.01054v12026
PersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric Records
Yibo Lyu, Gongwei Chen, Rui Shao +2
cs.AIcs.CVcs.HCarXiv:2601.09636v22026
MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?
Xinyu Che, Junqi Xiong, Yunfei Ge +10
cs.CLcs.AIcs.LGarXiv:2606.01993v12026
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach
Hao-Hsuan Chang, Hao Song, Yang Yi +3
cs.LGstat.MLarXiv:1810.11758v12018
Agentic-ZTA: A Multi-Agent Architecture for Autonomous Zero Trust Enforcement
Shovan Roy, Lopamudra Praharaj, Maanak Gupta +1
cs.AIcs.CRcs.ETarXiv:2610.05782v12026
Uniform Race: Parameter-Free Approximate Rejection Sampling
Seiyun Shin, Juhyeong Pang, Kwang-Sung Jun
cs.LGstat.MLarXiv:2609.34639v12026
Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games
Yizhe Zhang, Jiarui Lu, Navdeep Jaitly
cs.CLcs.AIcs.HCarXiv:2310.01468v32023
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit +2
cs.LGcs.IRcs.SEarXiv:1909.09436v32019
A la Carte - Learning Fast Kernels
Zichao Yang, Alexander J. Smola, Le Song +1
cs.LGstat.MLarXiv:1412.6493v12014
Concept-Aware Batch Sampling Improves Language-Image Pretraining
Adhiraj Ghosh, Vishaal Udandarao, Thao Nguyen +7
cs.CVcs.LGarXiv:2511.20643v12025
Kimi Linear: An Expressive, Efficient Attention Architecture
Kimi Team, Yu Zhang, Zongyu Lin +57
cs.CLcs.LGarXiv:2510.26692v22025
Stay on topic with Classifier-Free Guidance
Guillaume Sanchez, Honglu Fan, Alexander Spangher +3
cs.CLcs.CVcs.LGarXiv:2306.17806v12023
tf.data: A Machine Learning Data Processing Framework
Derek G. Murray, Jiri Simsa, Ana Klimovic +1
cs.LGcs.MSarXiv:2101.12127v22021
Distral: Robust Multitask Reinforcement Learning
Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki +5
cs.LGstat.MLarXiv:1707.04175v12017
Deep Model Fusion: A Survey
Weishi Li, Yong Peng, Miao Zhang +3
cs.LGcs.AIarXiv:2309.15698v12023
Beyond Answer Confidence: A Controlled Audit of Self-Knowledge in a Black-Box Decision Model
Sharath M Shankaranarayana, Davor Runje, Jan Jannink
cs.AIcs.LGarXiv:2610.01006v12026
Optimizing F-measure: A Tale of Two Approaches
Ye Nan, Kian Ming Chai, Wee Sun Lee +1
cs.LGarXiv:1206.4625v12012
Third-Person Imitation Learning
Bradly C. Stadie, Pieter Abbeel, Ilya Sutskever
cs.LGarXiv:1703.01703v22017
Deep learning with Elastic Averaging SGD
Sixin Zhang, Anna Choromanska, Yann LeCun
cs.LGstat.MLarXiv:1412.6651v82014
Tolerance-Based Fairness Auditing: Violation Certification and Sensitivity Screening
Jie Tang, Chuanlong Xie, Lixing Zhu
stat.MLcs.LGstat.MEarXiv:2610.01005v12026
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training
Jie You, Jae-Won Chung, Mosharaf Chowdhury
cs.LGcs.AIcs.DCarXiv:2208.06102v22022
Exactly Computing the Local Lipschitz Constant of ReLU Networks
Matt Jordan, Alexandros G. Dimakis
stat.MLcs.LGarXiv:2003.01219v22020
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
Muheng Li, Yueqi Duan, Jie Zhou +1
cs.CVcs.AIcs.GRarXiv:2212.03293v22022
LongCounsel-8: A Benchmark Suite for Longitudinal Depression Tracking from Multi-Session Counseling Dialogues
Jiayi Li, Zhaomin Wu, Bingsheng He
cs.LGcs.AIarXiv:2609.03507v12026
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
Xinyu Tang, Richard Shin, Huseyin A. Inan +6
cs.LGcs.CRarXiv:2309.11765v22023
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity
Joana Lorenz, Maria Inês Silva, David Aparício +2
cs.LGstat.MLarXiv:2005.14635v22020
Removing Hidden Confounding by Experimental Grounding
Nathan Kallus, Aahlad Manas Puli, Uri Shalit
stat.MLcs.LGarXiv:1810.11646v12018
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application
Yujing Hu, Qing Da, Anxiang Zeng +2
cs.LGarXiv:1803.00710v32018
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren +1
cs.CVcs.AIcs.LGarXiv:1502.01852v12015
SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents
Shaofei Cai, Yulei Qin, Haojia Lin +10
cs.CLcs.AIcs.CVarXiv:2512.22322v22025
PAC-Bayesian Inequalities for Martingales
Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi +2
cs.LGcs.ITmath.ITarXiv:1110.6886v32011
Reliability-aware short-term roll prediction for unmanned surface vehicles via multi-task learning and adaptive centralization
Kaizhen Li, Xi Zhou, Zihao Wang +3
cs.LGarXiv:2610.00996v12026
Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech
Chien-yu Huang, Ke-Han Lu, Shih-Heng Wang +12
eess.AScs.LGcs.SDarXiv:2309.09510v22023
Quantifying Differences in Reward Functions
Adam Gleave, Michael Dennis, Shane Legg +2
cs.LGcs.AIstat.MLarXiv:2006.13900v32020
Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates
Insu Jang, Zhenning Yang, Zhen Zhang +2
cs.DCcs.LGarXiv:2309.08125v22023
GraphiT: Encoding Graph Structure in Transformers
Grégoire Mialon, Dexiong Chen, Margot Selosse +1
cs.LGarXiv:2106.05667v12021

Machine Learning

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

Mind the Approximation: Fisher-Weighted SVD Compression for ViTs

Looping Beyond Twice: A Scalable Recipe for Looped Mixture-of-Experts

Holistic Evaluation of Text-To-Image Models

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

J-Zero: Unified Challenger--Solver--Judge Co-Evolution from Zero Data

Robust Regression and Lasso

How Much Can Language Models Gain from Test-Time Computation?

Sharp Bounds on the Approximation Rates, Metric Entropy, and $n$-widths of Shallow Neural Networks

A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

Efficiently Modeling Long Sequences with Structured State Spaces

Explainable Artificial Intelligence: a Systematic Review

KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics

Mitigating Neural Network Overconfidence with Logit Normalization

RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents

3D Concept Learning and Reasoning from Multi-View Images

ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation

Stored in Optimizer State, Valued by Later Training: A Causal Account of Subliminal Trait Transfer

Random Vector Functional Link Networks for Function Approximation on Manifolds

Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

MLP-Mixer: An all-MLP Architecture for Vision

ORCA: Hunting Compositional Failures in Text-to-Image Diffusion

Capturing In-Context Learning Dynamics with Task Operators

PersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric Records

MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?

Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach

Agentic-ZTA: A Multi-Agent Architecture for Autonomous Zero Trust Enforcement

Uniform Race: Parameter-Free Approximate Rejection Sampling

Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

A la Carte - Learning Fast Kernels

Concept-Aware Batch Sampling Improves Language-Image Pretraining

Kimi Linear: An Expressive, Efficient Attention Architecture

Stay on topic with Classifier-Free Guidance

tf.data: A Machine Learning Data Processing Framework

Distral: Robust Multitask Reinforcement Learning

Deep Model Fusion: A Survey

Beyond Answer Confidence: A Controlled Audit of Self-Knowledge in a Black-Box Decision Model

Optimizing F-measure: A Tale of Two Approaches

Third-Person Imitation Learning

Deep learning with Elastic Averaging SGD

Tolerance-Based Fairness Auditing: Violation Certification and Sensitivity Screening

Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training

Exactly Computing the Local Lipschitz Constant of ReLU Networks

Diffusion-SDF: Text-to-Shape via Voxelized Diffusion

LongCounsel-8: A Benchmark Suite for Longitudinal Depression Tracking from Multi-Session Counseling Dialogues

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation

Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity

Removing Hidden Confounding by Experimental Grounding

Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents

PAC-Bayesian Inequalities for Martingales

Reliability-aware short-term roll prediction for unmanned surface vehicles via multi-task learning and adaptive centralization

Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech

Quantifying Differences in Reward Functions

Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates

GraphiT: Encoding Graph Structure in Transformers