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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17,101 to 17,160 of 20,193

#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
VisAdj: Learning Adjacency Matrices from Node-Link Images
Jiahao Xie, Guangmo Tong
cs.AIcs.CVcs.LGarXiv:2608.21825v12026
MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
Zonglin Yang, Lidong Bing
cs.LGcs.CEcs.CLarXiv:2603.03756v42026
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
Mayank Bansal, Alex Krizhevsky, Abhijit Ogale
cs.ROcs.CVcs.LGarXiv:1812.03079v12018
HIRA: A Human-in-the-Loop Retrieval-Augmented Cascade for Document Classification in Regulated Industries
Shangxuan Tian, Yanhui Chen, Carlos Queiroz
cs.AIcs.CVcs.IRarXiv:2608.21792v12026
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut +2
cs.CLcs.LGarXiv:2104.06378v52021
GLTR: Statistical Detection and Visualization of Generated Text
Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush
cs.CLcs.AIcs.HCarXiv:1906.04043v12019
ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning
Juyong Jiang, Jiasi Shen, Sunghun Kim +3
cs.CLcs.LGcs.SEarXiv:2603.05863v22026
k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples)
Padraig Cunningham, Sarah Jane Delany
cs.LGstat.MLarXiv:2004.04523v22020
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Dor Verbin +2
cs.CVcs.GRcs.LGarXiv:2304.06706v32023
ERASER: A Benchmark to Evaluate Rationalized NLP Models
Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani +4
cs.CLcs.AIcs.LGarXiv:1911.03429v22019
PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR
James Burgess, Jan N. Hansen, Duo Peng +5
cs.LGcs.AIcs.CLarXiv:2601.18207v12026
CondConv: Conditionally Parameterized Convolutions for Efficient Inference
Brandon Yang, Gabriel Bender, Quoc V. Le +1
cs.CVcs.AIcs.LGarXiv:1904.04971v32019
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
Minhao Liu, Ailing Zeng, Muxi Chen +4
cs.LGcs.AIarXiv:2106.09305v32021
A Reproducible, License-Aware Distillation Recipe for CPUDeployable Safety Classification
Edson Rodrigues da Cruz Filho, Paulo Ricardo Ferreira Neves, Paulo Henrique Eleuterio Falsetti +7
cs.AIcs.LGarXiv:2608.21570v12026
KAT-Coder-V2 Technical Report
Fengxiang Li, Han Zhang, Haoyang Huang +43
cs.CLcs.LGarXiv:2603.27703v12026
Dynamic Key-Value Memory Networks for Knowledge Tracing
Jiani Zhang, Xingjian Shi, Irwin King +1
cs.AIcs.LGarXiv:1611.08108v22016
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
Matthew Jagielski, Alina Oprea, Battista Biggio +3
cs.CRcs.GTcs.LGarXiv:1804.00308v32018
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Xiaohan Ding, Yuchen Guo, Guiguang Ding +1
cs.CVcs.LGcs.NEarXiv:1908.03930v32019
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani, Ivan Titov
cs.CLcs.LGarXiv:1703.04826v42017
Test-Time Training with KV Binding Is Secretly Linear Attention
Junchen Liu, Sven Elflein, Or Litany +2
cs.LGcs.AIcs.CVarXiv:2602.21204v42026
Aletheia tackles FirstProof autonomously
Tony Feng, Junehyuk Jung, Sang-hyun Kim +14
cs.AIcs.CLcs.LGarXiv:2602.21201v32026
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar, Peyton Greenside, Anna Shcherbina +1
cs.LGcs.CVcs.NEarXiv:1605.01713v32016
Speaker Recognition from Raw Waveform with SincNet
Mirco Ravanelli, Yoshua Bengio
eess.AScs.LGcs.SDarXiv:1808.00158v32018

Machine Learning

#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

VisAdj: Learning Adjacency Matrices from Node-Link Images

MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier

ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

HIRA: A Human-in-the-Loop Retrieval-Augmented Cascade for Document Classification in Regulated Industries

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering

GLTR: Statistical Detection and Visualization of Generated Text

ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning

k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples)

Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields

ERASER: A Benchmark to Evaluate Rationalized NLP Models

PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR

CondConv: Conditionally Parameterized Convolutions for Efficient Inference

SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction

A Reproducible, License-Aware Distillation Recipe for CPUDeployable Safety Classification

KAT-Coder-V2 Technical Report

Dynamic Key-Value Memory Networks for Knowledge Tracing

Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling

Test-Time Training with KV Binding Is Secretly Linear Attention

Aletheia tackles FirstProof autonomously

Not Just a Black Box: Learning Important Features Through Propagating Activation Differences

Speaker Recognition from Raw Waveform with SincNet