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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17,341 to 17,400 of 20,454

S4L: Self-Supervised Semi-Supervised Learning
Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov +1
cs.CVcs.LGarXiv:1905.03670v22019
A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5
Xingjun Ma, Yixu Wang, Hengyuan Xu +18
cs.AIcs.CLcs.CVarXiv:2601.10527v22026
Fixed Point Quantization of Deep Convolutional Networks
Darryl D. Lin, Sachin S. Talathi, V. Sreekanth Annapureddy
cs.LGarXiv:1511.06393v32015
CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents
Xiangru Jian, Shravan Nayak, Kevin Qinghong Lin +5
cs.LGcs.AIcs.CVarXiv:2603.24440v12026
Clipper: A Low-Latency Online Prediction Serving System
Daniel Crankshaw, Xin Wang, Giulio Zhou +3
cs.DCcs.LGarXiv:1612.03079v22016
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Mohit Shridhar, Lucas Manuelli, Dieter Fox
cs.ROcs.AIcs.CLarXiv:2209.05451v22022
Neural Relational Inference for Interacting Systems
Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang +2
stat.MLcs.LGarXiv:1802.04687v22018
SE-DiCoW: Self-Enrolled Diarization-Conditioned Whisper
Alexander Polok, Dominik Klement, Samuele Cornell +4
eess.AScs.LGarXiv:2601.19194v12026
Stable Architectures for Deep Neural Networks
Eldad Haber, Lars Ruthotto
cs.LGmath.NAmath.OCarXiv:1705.03341v32017
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
Aditya Golatkar, Alessandro Achille, Stefano Soatto
cs.LGstat.MLarXiv:1911.04933v52019
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
Andreas Steiner, Alexander Kolesnikov, Xiaohua Zhai +3
cs.CVcs.AIcs.LGarXiv:2106.10270v22021
Towards a Medical AI Scientist
Hongtao Wu, Boyun Zheng, Dingjie Song +5
cs.AIcs.LGarXiv:2603.28589v12026
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
Jiayuan Mao, Chuang Gan, Pushmeet Kohli +2
cs.CVcs.AIcs.CLarXiv:1904.12584v12019
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh +2
cs.LGcs.AIcs.IRarXiv:1602.05352v22016
Adversarially Robust Generalization Requires More Data
Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras +2
cs.LGcs.NEstat.MLarXiv:1804.11285v22018
MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling
Ning Ding, Fangcheng Liu, Kyungrae Kim +4
cs.LGcs.AIcs.CLarXiv:2602.03359v12026
Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers
Liangyu Wang, Siqi Zhang, Junjie Wang +7
cs.DCcs.LGarXiv:2602.06079v12026
On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters
Mind Lab, :, Vin Bo +64
cs.LGcs.CLarXiv:2606.02437v22026
Maxout Networks
Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza +2
stat.MLcs.LGarXiv:1302.4389v42013
Summaries:한국어
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings
Brett D. Roads, Bradley C. Love
cs.CVcs.LGarXiv:2011.11015v12020
Summaries:한국어
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Michael M. Bronstein, Joan Bruna, Taco Cohen +1
cs.LGcs.AIcs.CGarXiv:2104.13478v22021
FAAST: Forward-Only Associative Learning via Closed-Form Fast Weights for Test-Time Supervised Adaptation
Guangsheng Bao, Hongbo Zhang, Han Cui +4
cs.LGcs.CLarXiv:2605.04651v22026
A Neural Representation of Sketch Drawings
David Ha, Douglas Eck
cs.NEcs.LGstat.MLarXiv:1704.03477v42017
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang, Rein Houthooft, Davis Foote +6
cs.AIcs.LGarXiv:1611.04717v32016
Natural Language Processing (almost) from Scratch
Ronan Collobert, Jason Weston, Leon Bottou +3
cs.LGcs.CLarXiv:1103.0398v12011
Summaries:한국어
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
Tianle Cai, Yuhong Li, Zhengyang Geng +4
cs.LGcs.CLarXiv:2401.10774v32024
Post-LayerNorm Is Back: Stable, ExpressivE, and Deep
Chen Chen, Lai Wei
cs.LGcs.CLarXiv:2601.19895v22026
Behavior Regularized Offline Reinforcement Learning
Yifan Wu, George Tucker, Ofir Nachum
cs.LGcs.AIstat.MLarXiv:1911.11361v12019
StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors
Suraj Ranganath, Atharv Ramesh
cs.LGcs.AIcs.CRarXiv:2602.08934v22026
Adaptive Graph Convolutional Neural Networks
Ruoyu Li, Sheng Wang, Feiyun Zhu +1
cs.LGstat.MLarXiv:1801.03226v12018
Benchmarks Saturate When The Model Gets Smarter Than The Judge
Marthe Ballon, Andres Algaba, Brecht Verbeken +1
cs.AIcs.CLcs.LGarXiv:2601.19532v12026
Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen +4
cs.LGcs.AIarXiv:2106.14112v12021
Continual GUI Agents
Ziwei Liu, Borui Kang, Hangjie Yuan +4
cs.LGcs.CVarXiv:2601.20732v42026
Nature-Inspired Optimization Algorithms: Challenges and Open Problems
Xin-She Yang
cs.NEcs.LGmath.OCarXiv:2003.03776v12020
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan, Haiyang Yu, Shurui Gui +1
cs.LGcs.AIarXiv:2012.15445v32020
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Justin Fu, Katie Luo, Sergey Levine
cs.LGarXiv:1710.11248v22017
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers
Ji Gao, Jack Lanchantin, Mary Lou Soffa +1
cs.CLcs.CRcs.IRarXiv:1801.04354v52018
One-Step Evolution for Long-Time Extrapolation: An Error-Bound-Informed and Prior-Guided Neural Residual Framework for Autonomous PDEs
Maqun Zhang, Feng Gao, Wankun Chen +3
cs.AIcs.LGarXiv:2608.22026v12026
Exposing the Systematic Vulnerability of Open-Weight Models to Prefill Attacks
Lukas Struppek, Adam Gleave, Kellin Pelrine
cs.CRcs.AIcs.CLarXiv:2602.14689v12026
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
Kaixuan Chen, Dalin Zhang, Lina Yao +3
cs.HCcs.LGarXiv:2001.07416v22020
AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory
Yuanhe Zhang, Jason D. Lee, Fanghui Liu
cs.LGcs.CLmath.STarXiv:2602.02285v22026
FILIP: Fine-grained Interactive Language-Image Pre-Training
Lewei Yao, Runhui Huang, Lu Hou +7
cs.CVcs.LGarXiv:2111.07783v12021
Conditional Neural Processes
Marta Garnelo, Dan Rosenbaum, Chris J. Maddison +6
cs.LGstat.MLarXiv:1807.01613v12018
On Randomness in Agentic Evals
Bjarni Haukur Bjarnason, André Silva, Martin Monperrus
cs.LGcs.AIcs.SEarXiv:2602.07150v32026
H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
Zhenyu Zhang, Ying Sheng, Tianyi Zhou +9
cs.LGarXiv:2306.14048v32023
Explainable Machine Learning for Scientific Insights and Discoveries
Ribana Roscher, Bastian Bohn, Marco F. Duarte +1
cs.LGstat.MLarXiv:1905.08883v32019
Learning a Generative Meta-Model of LLM Activations
Grace Luo, Jiahai Feng, Trevor Darrell +2
cs.LGcs.AIcs.CLarXiv:2602.06964v12026
Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang, Lingyang Chu, Zirui Zhou +4
cs.LGcs.DCstat.MLarXiv:2007.03797v52020
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Chen Wei, Haoqi Fan, Saining Xie +3
cs.CVcs.LGarXiv:2112.09133v22021
Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs
Pengrui Han, Xueqiang Xu, Keyang Xuan +12
cs.AIcs.CLcs.LGarXiv:2602.07276v12026
FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
Lingjiao Chen, Matei Zaharia, James Zou
cs.LGcs.AIcs.CLarXiv:2305.05176v12023
Deep Learning for Classical Japanese Literature
Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto +3
cs.CVcs.LGstat.MLarXiv:1812.01718v12018
Are LLM Decisions Faithful to Verbal Confidence?
Jiawei Wang, Yanfei Zhou, Siddartha Devic +1
cs.LGcs.CLarXiv:2601.07767v12026
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
cs.LGcs.AIarXiv:0902.3430v32009
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
Hila Chefer, Yuval Alaluf, Yael Vinker +2
cs.CVcs.CLcs.GRarXiv:2301.13826v22023
Whose Opinions Do Language Models Reflect?
Shibani Santurkar, Esin Durmus, Faisal Ladhak +3
cs.CLcs.AIcs.CYarXiv:2303.17548v12023
Hints, Critics, and Teachers: Prior Injection for Sparse-Reward RL in Vision-Language Math Reasoning
Qiqian Fu
cs.AIcs.LGarXiv:2608.21811v12026
When Gaussian Process Meets Big Data: A Review of Scalable GPs
Haitao Liu, Yew-Soon Ong, Xiaobo Shen +1
stat.MLcs.LGarXiv:1807.01065v22018
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
Lorenz Kuhn, Yarin Gal, Sebastian Farquhar
cs.CLcs.AIcs.LGarXiv:2302.09664v32023
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Pengzhen Ren, Yun Xiao, Xiaojun Chang +4
cs.LGstat.MLarXiv:2006.02903v32020

Machine Learning

S4L: Self-Supervised Semi-Supervised Learning

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

Fixed Point Quantization of Deep Convolutional Networks

CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents

Clipper: A Low-Latency Online Prediction Serving System

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Neural Relational Inference for Interacting Systems

SE-DiCoW: Self-Enrolled Diarization-Conditioned Whisper

Stable Architectures for Deep Neural Networks

Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks

How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

Towards a Medical AI Scientist

The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

Recommendations as Treatments: Debiasing Learning and Evaluation

Adversarially Robust Generalization Requires More Data

MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling

Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

Maxout Networks

Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

FAAST: Forward-Only Associative Learning via Closed-Form Fast Weights for Test-Time Supervised Adaptation

A Neural Representation of Sketch Drawings

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

Natural Language Processing (almost) from Scratch

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Post-LayerNorm Is Back: Stable, ExpressivE, and Deep

Behavior Regularized Offline Reinforcement Learning

StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors

Adaptive Graph Convolutional Neural Networks

Benchmarks Saturate When The Model Gets Smarter Than The Judge

Time-Series Representation Learning via Temporal and Contextual Contrasting

Continual GUI Agents

Nature-Inspired Optimization Algorithms: Challenges and Open Problems

Explainability in Graph Neural Networks: A Taxonomic Survey

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers

One-Step Evolution for Long-Time Extrapolation: An Error-Bound-Informed and Prior-Guided Neural Residual Framework for Autonomous PDEs

Exposing the Systematic Vulnerability of Open-Weight Models to Prefill Attacks

Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities

AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory

FILIP: Fine-grained Interactive Language-Image Pre-Training

Conditional Neural Processes

On Randomness in Agentic Evals

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Explainable Machine Learning for Scientific Insights and Discoveries

Learning a Generative Meta-Model of LLM Activations

Personalized Cross-Silo Federated Learning on Non-IID Data

Masked Feature Prediction for Self-Supervised Visual Pre-Training

Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Deep Learning for Classical Japanese Literature

Are LLM Decisions Faithful to Verbal Confidence?

Domain Adaptation: Learning Bounds and Algorithms

Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models

Whose Opinions Do Language Models Reflect?

Hints, Critics, and Teachers: Prior Injection for Sparse-Reward RL in Vision-Language Math Reasoning

When Gaussian Process Meets Big Data: A Review of Scalable GPs

Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions