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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5,461 to 5,520 of 19,972

Measuring consistency via ensemble margin and local prediction variability: Auditing decision systems in the presence of predictive multiplicity
Sinjini Banerjee, Tim Marrinan, Anand D. Sarwate
stat.MLcs.AIcs.LGarXiv:2609.01397v12026
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
Tao Liu, Kai Wang, Senmao Li +6
cs.CVcs.AIcs.LGarXiv:2501.13554v32025
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
Nicholas Watters, Loic Matthey, Christopher P. Burgess +1
cs.LGcs.CVstat.MLarXiv:1901.07017v22019
DualStake: Dual-Path Confidence Calibration in Deep Research Agents
Yinuo Xu, Yuwei Liang, Jianjie Cheng +4
cs.CLcs.AIcs.LGarXiv:2609.00935v12026
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt, Yongwon Hong, Iuliia Pliushch +1
cs.LGstat.MLarXiv:2009.01797v32020
Confess What You Know: Forget-Set Misalignment with Model Knowledge in LLM Unlearning
Miso Kim, Georu Lee, Seungwon Jeong +1
cs.LGcs.AIcs.CLarXiv:2609.00605v12026
A Study of Hidden-State Optimization Order in Predictive Coding Networks
Xueyuan Li, Danilo Vasconcellos Vargas
cs.LGcs.AIarXiv:2609.00686v12026
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
Siddhartha Chandra, Iasonas Kokkinos
cs.CVcs.LGarXiv:1603.08358v42016
Universal Model Routing for Efficient LLM Inference
Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat +9
cs.CLcs.LGarXiv:2502.08773v22025
ViTAMINS: An Empirical Study of Training Self-Supervised Vision Transformers with Synthetic Hard Negatives
Nikos Giakoumoglou, Andreas Floros, Kleanthis-Marios Papadopoulos +1
cs.CVcs.AIcs.LGarXiv:2609.01041v12026
Sparse Autoencoders Do Not Find Canonical Units of Analysis
Patrick Leask, Bart Bussmann, Michael Pearce +5
cs.LGcs.AIarXiv:2502.04878v12025
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images
Xiaocong Chen, Lina Yao, Tao Zhou +2
eess.IVcs.CVcs.LGarXiv:2006.13276v12020
SMART: Self-Aware Agent for Tool Overuse Mitigation
Cheng Qian, Emre Can Acikgoz, Hongru Wang +5
cs.AIcs.CLcs.LGarXiv:2502.11435v22025
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
Annie S. Chen, Suraj Nair, Chelsea Finn
cs.ROcs.AIcs.CVarXiv:2103.16817v12021
On the Doubt about Margin Explanation of Boosting
Wei Gao, Zhi-Hua Zhou
cs.LGarXiv:1009.3613v52010
Embedded Conditional Independence Tests for Large Language Model Generated Text with an Application to German Parliament Speeches
Marco Simnacher, Georg Keilbar, Benjamin König +2
stat.MLcs.AIcs.LGarXiv:2609.00946v12026
TimeNet: Pre-trained deep recurrent neural network for time series classification
Pankaj Malhotra, Vishnu TV, Lovekesh Vig +2
cs.LGarXiv:1706.08838v12017
Learning the Travelling Salesperson Problem Requires Rethinking Generalization
Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau +1
cs.LGstat.MLarXiv:2006.07054v62020
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration
Yuhang Li, Ruokai Yin, Donghyun Lee +2
cs.LGarXiv:2504.02692v32025
FlexiViT: One Model for All Patch Sizes
Lucas Beyer, Pavel Izmailov, Alexander Kolesnikov +7
cs.CVcs.AIcs.LGarXiv:2212.08013v22022
Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review
Masatoshi Uehara, Yulai Zhao, Chenyu Wang +4
cs.AIcs.LGq-bio.QMarXiv:2501.09685v22025
Learning-Theoretic Foundation for General Coded Computing: The Straggler Setting
Parsa Moradi, Behrooz Tahmasebi, Mohammad Ali Maddah-Ali
cs.LGarXiv:2608.28910v12026
FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing
Yi Luo, Enea Ceolini, Cong Han +2
eess.AScs.LGcs.SDarXiv:1909.13387v22019
Reconstructing Training Data from Trained Neural Networks
Niv Haim, Gal Vardi, Gilad Yehudai +2
cs.LGcs.CRcs.CVarXiv:2206.07758v32022
Not All Language Model Features Are One-Dimensionally Linear
Joshua Engels, Eric J. Michaud, Isaac Liao +2
cs.LGarXiv:2405.14860v32024
One Token to Fool LLM-as-a-Judge
Yulai Zhao, Haolin Liu, Dian Yu +4
cs.LGcs.CLarXiv:2507.08794v32025
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages
Zhilin Wang, Jiaqi Zeng, Olivier Delalleau +6
cs.CLcs.AIcs.LGarXiv:2505.11475v22025
Convergence issues in Relational Concept Analysis based on AOC-posets
Xavier Dolques, Agnès Braud, Alain Gutierrez +2
cs.LGarXiv:2609.00054v12026
AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training
Chia-Yu Chen, Jungwook Choi, Daniel Brand +3
cs.LGstat.MLarXiv:1712.02679v12017
GSPMD: General and Scalable Parallelization for ML Computation Graphs
Yuanzhong Xu, HyoukJoong Lee, Dehao Chen +13
cs.DCcs.LGarXiv:2105.04663v22021
Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model
Jean Tarbouriech, Matteo Pirotta, Michal Valko +1
cs.LGstat.MLarXiv:2604.16111v12026
Dion: Distributed Orthonormalized Updates
Kwangjun Ahn, Byron Xu, Natalie Abreu +5
cs.LGcs.AImath.OCarXiv:2504.05295v32025
A Study of Reinforcement Learning for Neural Machine Translation
Lijun Wu, Fei Tian, Tao Qin +2
cs.LGcs.AIstat.MLarXiv:1808.08866v12018
An Attention Free Transformer
Shuangfei Zhai, Walter Talbott, Nitish Srivastava +4
cs.LGcs.CLcs.CVarXiv:2105.14103v22021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
Ming Jin, Yizhen Zheng, Yuan-Fang Li +3
cs.LGcs.SIarXiv:2105.05682v22021
DNA-inspired online behavioral modeling and its application to spambot detection
Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi +2
cs.SIcs.CRcs.LGarXiv:1602.00110v12016
Self-Reports Are Not Verification: Environment-Grounded Auditing of LLM Operators in Evolutionary Search
Enrong Pan, Ryan Zhou, Ting Hu
cs.AIcs.LGcs.NEarXiv:2609.00652v12026
The challenge of realistic music generation: modelling raw audio at scale
Sander Dieleman, Aäron van den Oord, Karen Simonyan
cs.SDcs.LGeess.ASarXiv:1806.10474v12018
VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use
Mingyuan Wu, Jingcheng Yang, Jize Jiang +6
cs.LGcs.AIarXiv:2505.19255v42025
HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation
Ken Ding
cs.LGcs.AIarXiv:2603.23871v12026
Iterative Amortized Inference
Joseph Marino, Yisong Yue, Stephan Mandt
cs.LGstat.MLarXiv:1807.09356v12018
Effective Diversity in Population Based Reinforcement Learning
Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski +1
cs.LGstat.MLarXiv:2002.00632v32020
DynaNDE: Dynamic Near-Data Expert Scheduling for Batched MoE Inference
Xiaoyang Lu, Belthangady Akash Vi Narayana Pai, Xian-He Sun
cs.ARcs.LGarXiv:2609.00407v12026
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds
Li Yi, Boqing Gong, Thomas Funkhouser
cs.CVcs.LGarXiv:2007.08488v22020
Local Reference Geometry Residual Augmentation for Imbalanced Time Series Classification
Chuanhang Qiu, Yanran Xu, Yue Wang +1
cs.LGarXiv:2609.00093v12026
POSEIDON: Privacy-Preserving Federated Neural Network Learning
Sinem Sav, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza +4
cs.CRcs.LGarXiv:2009.00349v32020
Cartridges: Lightweight and general-purpose long context representations via self-study
Sabri Eyuboglu, Ryan Ehrlich, Simran Arora +8
cs.CLcs.AIcs.LGarXiv:2506.06266v32025
The Invisible Leash: Why RLVR May or May Not Escape Its Origin
Fang Wu, Weihao Xuan, Ximing Lu +4
cs.LGcs.AIcs.CLarXiv:2507.14843v42025
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
Aritra Mitra, Rayana Jaafar, George J. Pappas +1
cs.LGcs.DCeess.SYarXiv:2102.07053v22021
Design Patterns for Securing LLM Agents against Prompt Injections
Luca Beurer-Kellner, Beat Buesser, Ana-Maria Creţu +11
cs.LGcs.CRarXiv:2506.08837v32025
Towards Understanding Camera Motions in Any Video
Zhiqiu Lin, Siyuan Cen, Daniel Jiang +12
cs.CVcs.AIcs.CLarXiv:2504.15376v22025
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients
Oliver Scheel, Luca Bergamini, Maciej Wołczyk +2
cs.ROcs.AIcs.CVarXiv:2109.13333v12021
Efficient Online Reinforcement Learning for Diffusion Policy
Haitong Ma, Tianyi Chen, Kai Wang +2
cs.LGarXiv:2502.00361v42025
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
Tianbao Xie, Siheng Zhao, Chen Henry Wu +5
cs.LGcs.AIcs.CLarXiv:2309.11489v32023
A feature agnostic approach for glaucoma detection in OCT volumes
Stefan Maetschke, Bhavna Antony, Hiroshi Ishikawa +3
cs.CVcs.LGstat.MLarXiv:1807.04855v42018
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos
Ali Athar, Sabarinath Mahadevan, Aljoša Ošep +2
cs.CVcs.LGeess.IVarXiv:2003.08429v42020
Parametrized quantum policies for reinforcement learning
Sofiene Jerbi, Casper Gyurik, Simon C. Marshall +2
quant-phcs.AIcs.LGarXiv:2103.05577v22021
MedRAX: Medical Reasoning Agent for Chest X-ray
Adibvafa Fallahpour, Jun Ma, Alif Munim +2
cs.LGcs.AIcs.MAarXiv:2502.02673v22025
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
Yifan Hu, Guibin Zhang, Peiyuan Liu +6
cs.LGarXiv:2501.13041v22025
Character-Level Question Answering with Attention
David Golub, Xiaodong He
cs.CLcs.AIcs.LGarXiv:1604.00727v42016

Machine Learning

Measuring consistency via ensemble margin and local prediction variability: Auditing decision systems in the presence of predictive multiplicity

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs

DualStake: Dual-Path Confidence Calibration in Deep Research Agents

A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning

Confess What You Know: Forget-Set Misalignment with Model Knowledge in LLM Unlearning

A Study of Hidden-State Optimization Order in Predictive Coding Networks

Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs

Universal Model Routing for Efficient LLM Inference

ViTAMINS: An Empirical Study of Training Self-Supervised Vision Transformers with Synthetic Hard Negatives

Sparse Autoencoders Do Not Find Canonical Units of Analysis

Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images

SMART: Self-Aware Agent for Tool Overuse Mitigation

Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos

On the Doubt about Margin Explanation of Boosting

Embedded Conditional Independence Tests for Large Language Model Generated Text with an Application to German Parliament Speeches

TimeNet: Pre-trained deep recurrent neural network for time series classification

Learning the Travelling Salesperson Problem Requires Rethinking Generalization

GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration

FlexiViT: One Model for All Patch Sizes

Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review

Learning-Theoretic Foundation for General Coded Computing: The Straggler Setting

FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing

Reconstructing Training Data from Trained Neural Networks

Not All Language Model Features Are One-Dimensionally Linear

One Token to Fool LLM-as-a-Judge

HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages

Convergence issues in Relational Concept Analysis based on AOC-posets

AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training

GSPMD: General and Scalable Parallelization for ML Computation Graphs

Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model

Dion: Distributed Orthonormalized Updates

A Study of Reinforcement Learning for Neural Machine Translation

An Attention Free Transformer

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning

DNA-inspired online behavioral modeling and its application to spambot detection

Self-Reports Are Not Verification: Environment-Grounded Auditing of LLM Operators in Evolutionary Search

The challenge of realistic music generation: modelling raw audio at scale

VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use

HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation

Iterative Amortized Inference

Effective Diversity in Population Based Reinforcement Learning

DynaNDE: Dynamic Near-Data Expert Scheduling for Batched MoE Inference

Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds

Local Reference Geometry Residual Augmentation for Imbalanced Time Series Classification

POSEIDON: Privacy-Preserving Federated Neural Network Learning

Cartridges: Lightweight and general-purpose long context representations via self-study

The Invisible Leash: Why RLVR May or May Not Escape Its Origin

Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients

Design Patterns for Securing LLM Agents against Prompt Injections

Towards Understanding Camera Motions in Any Video

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients

Efficient Online Reinforcement Learning for Diffusion Policy

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning

A feature agnostic approach for glaucoma detection in OCT volumes

STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos

Parametrized quantum policies for reinforcement learning

MedRAX: Medical Reasoning Agent for Chest X-ray

TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting

Character-Level Question Answering with Attention