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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4,501 to 4,560 of 20,192

AICD Bench: A Challenging Benchmark for AI-Generated Code Detection
Daniil Orel, Dilshod Azizov, Indraneil Paul +3
cs.LGcs.SEarXiv:2602.02079v12026
Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World
Daniel J. Fremont, Edward Kim, Yash Vardhan Pant +7
eess.SYcs.LGcs.LOarXiv:2003.07739v22020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Tianqing Zhu, Dayong Ye, Wei Wang +2
cs.CRcs.LGstat.MLarXiv:2008.01916v12020
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
Fei Wen, Lei Chu, Peilin Liu +1
cs.ITcs.LGeess.SParXiv:1808.05403v32018
Attention Sensitivity Is Not Enough: Dissociating Attention-Level and Behavioural In-Context Learning under Fine-Tuning
Jinyuan Zhang, Peng He, He Hu +2
cs.LGcs.AIcs.CLarXiv:2609.00064v12026
Modern Views of Machine Learning for Precision Psychiatry
Zhe Sage Chen, Prathamesh, Kulkarni +4
cs.LGcs.AIq-bio.NCarXiv:2204.01607v22022
PerturbDiff: Functional Diffusion for Single-Cell Perturbation Modeling
Xinyu Yuan, Xixian Liu, Ya Shi Zhang +3
cs.LGcs.AIarXiv:2602.19685v12026
Learning to Judge: LLMs Designing and Applying Evaluation Rubrics
Clemencia Siro, Pourya Aliannejadi, Mohammad Aliannejadi
cs.CLcs.LGarXiv:2602.08672v12026
Median K-flats for hybrid linear modeling with many outliers
Teng Zhang, Arthur Szlam, Gilad Lerman
cs.CVcs.LGarXiv:0909.3123v12009
Deep Graph Representation Learning and Optimization for Influence Maximization
Chen Ling, Junji Jiang, Junxiang Wang +5
cs.SIcs.LGarXiv:2305.02200v22023
Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition
Haseeb Nazki, Sook Yoon, Alvaro Fuentes +1
cs.CVcs.LGeess.IVarXiv:1909.11915v12019
Pre-Registering the Detectable Effect: A Paired-MDE Budget for 4-bit Quantization Benchmarks, with a Pilot Audit
Zexin Zhuang, Yanhang Li, Zhichao Fan
cs.LGarXiv:2605.28873v12026
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
Shengsheng Lin, Weiwei Lin, Wentai Wu +3
cs.LGarXiv:2308.11200v12023
A recipe for scalable attention-based MLIPs: unlocking long-range accuracy with all-to-all node attention
Eric Qu, Brandon M. Wood, Aditi S. Krishnapriyan +1
cs.LGcond-mat.mtrl-scics.CEarXiv:2603.06567v12026
Quantitative Convergence of Wasserstein Gradient Flows of Kernel Mean Discrepancies
Lénaïc Chizat, Maria Colombo, Roberto Colombo +1
math.APcs.LGmath.OCarXiv:2603.01977v12026
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization
Bharath Chintagunta, Namit Katariya, Xavier Amatriain +1
cs.CLcs.AIcs.LGarXiv:2110.07356v12021
Improved Mixed-Example Data Augmentation
Cecilia Summers, Michael J. Dinneen
cs.CVcs.LGarXiv:1805.11272v42018
Forget or Fine-tune? A Comparative Study of Machine Unlearning Strategies for Noisy Label Correction
João L. P. Santana, Filipe R. Cordeiro
cs.LGcs.AIarXiv:2608.30046v12026
IH-Challenge: A Training Dataset to Improve Instruction Hierarchy on Frontier LLMs
Chuan Guo, Juan Felipe Ceron Uribe, Sicheng Zhu +10
cs.AIcs.CLcs.CRarXiv:2603.10521v12026
Algorithmic Monoculture and Social Welfare
Jon Kleinberg, Manish Raghavan
cs.GTcs.CYcs.LGarXiv:2101.05853v22021
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction
Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta +4
cs.IRcs.LGarXiv:2305.06474v12023
Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity
Yingxuan Yang, Chengrui Qu, Muning Wen +5
cs.AIcs.LGarXiv:2602.03794v12026
Structural Hierarchy and Geometry in Molecular Representation Learning
David Sulu, Lorenzo Di Fruscia, Jana M. Weber
cs.LGq-bio.BMarXiv:2608.29886v12026
Towards Best Practice in Explaining Neural Network Decisions with LRP
Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima +3
cs.LGcs.CVstat.MLarXiv:1910.09840v32019
Multi-source Domain Adaptation for Semantic Segmentation
Sicheng Zhao, Bo Li, Xiangyu Yue +5
cs.CVcs.LGeess.IVarXiv:1910.12181v12019
PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing
Yiwen Song, Yale Song, Tomas Pfister +1
cs.AIcs.LGcs.MAarXiv:2604.05018v12026
OAT: Ordered Action Tokenization
Chaoqi Liu, Xiaoshen Han, Jiawei Gao +3
cs.ROcs.AIcs.LGarXiv:2602.04215v22026
A Graph-CNN for 3D Point Cloud Classification
Yingxue Zhang, Michael Rabbat
cs.CVcs.LGstat.MLarXiv:1812.01711v12018
APEX-Agents
Bertie Vidgen, Austin Mann, Abby Fennelly +21
cs.CLcs.AIcs.LGarXiv:2601.14242v32026
A Unified View of Label Shift Estimation
Saurabh Garg, Yifan Wu, Sivaraman Balakrishnan +1
cs.LGstat.MLarXiv:2003.07554v32020
What shapes feature representations? Exploring datasets, architectures, and training
Katherine L. Hermann, Andrew K. Lampinen
cs.LGstat.MLarXiv:2006.12433v22020
PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses
Chenlong Yin, Runpeng Geng, Yanting Wang +1
cs.LGcs.CRarXiv:2603.13026v22026
Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models
Yixiu Mao, Yun Qu, Qi Wang +2
cs.LGcs.AIarXiv:2603.10887v12026
Curvature Cryptanalysis of Smooth Transformer Feed-Forward Networks
Munawar Hasan, Apostol Vassilev
cs.LGcs.AIcs.CRarXiv:2608.28843v12026
Learning to be Safe: Deep RL with a Safety Critic
Krishnan Srinivasan, Benjamin Eysenbach, Sehoon Ha +2
cs.LGcs.ROarXiv:2010.14603v12020
Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting
Muxi Diao, Lele Yang, Wuxuan Gong +6
cs.LGcs.AIcs.CLarXiv:2601.02151v12026
Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
Aram Davtyan, Leello Tadesse Dadi, Volkan Cevher +1
cs.LGcs.CVarXiv:2603.15279v12026
Adversary Resistant Deep Neural Networks with an Application to Malware Detection
Qinglong Wang, Wenbo Guo, Kaixuan Zhang +4
cs.LGarXiv:1610.01239v42016
Spreading vectors for similarity search
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid +1
stat.MLcs.LGarXiv:1806.03198v32018
Supervising strong learners by amplifying weak experts
Paul Christiano, Buck Shlegeris, Dario Amodei
cs.LGcs.AIstat.MLarXiv:1810.08575v12018
LLM Agents Making Agent Tools
Georg Wölflein, Dyke Ferber, Daniel Truhn +2
cs.CLcs.AIcs.LGarXiv:2502.11705v22025
Separable Nonnegative Matrix Factorization Using Powered Ratio-of-Norms Regularization
Matthew McCarver, Jing Qin
math.NAcs.LGmath.OCarXiv:2608.28799v12026
Post-Training Piecewise Linear Quantization for Deep Neural Networks
Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz +3
cs.CVcs.LGarXiv:2002.00104v22020
RankShift: In-Database Detection and Explanation of Categorical Shifts
Omair Shafi Ahmed
cs.LGarXiv:2608.28922v12026
Like trainer, like bot? Inheritance of bias in algorithmic content moderation
Reuben Binns, Michael Veale, Max Van Kleek +1
cs.CYcs.CLcs.LGarXiv:1707.01477v12017
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
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong, Cyprien de Masson d'Autume, Wang Ling +3
cs.CLcs.LGarXiv:1910.08350v22019
Deep Active Learning: Unified and Principled Method for Query and Training
Changjian Shui, Fan Zhou, Christian Gagné +1
cs.LGstat.MLarXiv:1911.09162v22019
Self-training and Pre-training are Complementary for Speech Recognition
Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko +5
cs.LGcs.SDeess.ASarXiv:2010.11430v12020
On Calibration and Out-of-domain Generalization
Yoav Wald, Amir Feder, Daniel Greenfeld +1
cs.LGarXiv:2102.10395v42021
Can contrastive learning avoid shortcut solutions?
Joshua Robinson, Li Sun, Ke Yu +3
cs.LGarXiv:2106.11230v32021
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum +4
cs.LGcs.AIstat.MLarXiv:2305.11854v42023
A Comprehensive Study of Knowledge Editing for Large Language Models
Ningyu Zhang, Yunzhi Yao, Bozhong Tian +19
cs.CLcs.AIcs.CVarXiv:2401.01286v52024
Ten Challenging Problems in Federated Foundation Models
Tao Fan, Hanlin Gu, Xuemei Cao +30
cs.LGcs.AIarXiv:2502.12176v12025
Distributed Semantic Segmentation With Improved Rate-Distortion Trade-Off
Danish Nazir, Timo Bartels, Thorsten Bagdonat +1
cs.CVcs.LGarXiv:2608.28684v12026
TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks
Anna Weber, Jannis Born, María Rodríguez Martínez
q-bio.BMcs.LGarXiv:2105.03323v12021
mHC-lite: You Don't Need 20 Sinkhorn-Knopp Iterations
Yongyi Yang, Jianyang Gao
cs.LGcs.AIarXiv:2601.05732v12026
Revealing the Dark Secrets of Masked Image Modeling
Zhenda Xie, Zigang Geng, Jingcheng Hu +3
cs.CVcs.AIcs.LGarXiv:2205.13543v22022
Mem-T: Densifying Rewards for Long-Horizon Memory Agents
Yanwei Yue, Boci Peng, Xuanbo Fan +3
cs.LGcs.CLarXiv:2601.23014v22026
AdaptNTK: Adaptive Uncertainty Quantification and Active Learning for Neural Network Potentials
Prajwal Ananth, Shuwen Yue
cs.LGphysics.chem-pharXiv:2609.00488v12026

Machine Learning

AICD Bench: A Challenging Benchmark for AI-Generated Code Detection

Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World

More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence

A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning

Attention Sensitivity Is Not Enough: Dissociating Attention-Level and Behavioural In-Context Learning under Fine-Tuning

Modern Views of Machine Learning for Precision Psychiatry

PerturbDiff: Functional Diffusion for Single-Cell Perturbation Modeling

Learning to Judge: LLMs Designing and Applying Evaluation Rubrics

Median K-flats for hybrid linear modeling with many outliers

Deep Graph Representation Learning and Optimization for Influence Maximization

Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition

Pre-Registering the Detectable Effect: A Paired-MDE Budget for 4-bit Quantization Benchmarks, with a Pilot Audit

SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting

A recipe for scalable attention-based MLIPs: unlocking long-range accuracy with all-to-all node attention

Quantitative Convergence of Wasserstein Gradient Flows of Kernel Mean Discrepancies

Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization

Improved Mixed-Example Data Augmentation

Forget or Fine-tune? A Comparative Study of Machine Unlearning Strategies for Noisy Label Correction

IH-Challenge: A Training Dataset to Improve Instruction Hierarchy on Frontier LLMs

Algorithmic Monoculture and Social Welfare

Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction

Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity

Structural Hierarchy and Geometry in Molecular Representation Learning

Towards Best Practice in Explaining Neural Network Decisions with LRP

Multi-source Domain Adaptation for Semantic Segmentation

PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing

OAT: Ordered Action Tokenization

A Graph-CNN for 3D Point Cloud Classification

APEX-Agents

A Unified View of Label Shift Estimation

What shapes feature representations? Exploring datasets, architectures, and training

PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses

Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models

Curvature Cryptanalysis of Smooth Transformer Feed-Forward Networks

Learning to be Safe: Deep RL with a Safety Critic

Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting

Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling

Adversary Resistant Deep Neural Networks with an Application to Malware Detection

Spreading vectors for similarity search

Supervising strong learners by amplifying weak experts

LLM Agents Making Agent Tools

Separable Nonnegative Matrix Factorization Using Powered Ratio-of-Norms Regularization

Post-Training Piecewise Linear Quantization for Deep Neural Networks

RankShift: In-Database Detection and Explanation of Categorical Shifts

Like trainer, like bot? Inheritance of bias in algorithmic content moderation

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

A Mutual Information Maximization Perspective of Language Representation Learning

Deep Active Learning: Unified and Principled Method for Query and Training

Self-training and Pre-training are Complementary for Speech Recognition

On Calibration and Out-of-domain Generalization

Can contrastive learning avoid shortcut solutions?

Multimodal Web Navigation with Instruction-Finetuned Foundation Models

A Comprehensive Study of Knowledge Editing for Large Language Models

Ten Challenging Problems in Federated Foundation Models

Distributed Semantic Segmentation With Improved Rate-Distortion Trade-Off

TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks

mHC-lite: You Don't Need 20 Sinkhorn-Knopp Iterations

Revealing the Dark Secrets of Masked Image Modeling

Mem-T: Densifying Rewards for Long-Horizon Memory Agents

AdaptNTK: Adaptive Uncertainty Quantification and Active Learning for Neural Network Potentials