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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28,081 to 28,140 of 33,071

Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets
Florian Tramèr, Reza Shokri, Ayrton San Joaquin +4
cs.CRcs.LGstat.MLarXiv:2204.00032v22022
ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL
Zelin He, Haotian Lin, Boran Han +6
cs.AIcs.LGstat.MLarXiv:2606.01619v22026
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI
Semen Budennyy, Vladimir Lazarev, Nikita Zakharenko +9
cs.LGcs.AIcs.CEarXiv:2208.00406v22022
A Learning Theory Approach to Non-Interactive Database Privacy
Avrim Blum, Katrina Ligett, Aaron Roth
cs.DScs.CRcs.LGarXiv:1109.2229v12011
Agents Explore but Agents Ignore: LLMs Lack Environmental Curiosity
Leon Engländer, Sophia Althammer, Ahmet Üstün +2
cs.CLcs.LGarXiv:2604.17609v12026
Particle Dynamics of Flow Matching and Classifier-Free Guidance from a Stagewise Geometry Perspective
Jian-Feng Cai, Zhengyi Su, Chao Wang
cs.LGarXiv:2609.06947v12026
SmoothOperator: Enhancing Representations for Fine-grained Open-set Recognition via Modulated Label Smoothing
Thiru Thillai Nadarasar Bahavan, Yu Xia, Sachith Seneviratne +1
cs.CVcs.LGarXiv:2610.00851v12026
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners
Ahmed H. Qureshi, Yinglong Miao, Anthony Simeonov +1
cs.ROcs.AIcs.LGarXiv:1907.06013v32019
Training-Adaptive Convolutional Sparse Coding via Information Bottleneck for Robust Visual Representation
Meng'en Qin, Yinchen Liu, Mingxuan Cui +1
cs.CVcs.LGstat.MLarXiv:2609.19122v22026
Bottleneck Transformers for Visual Recognition
Aravind Srinivas, Tsung-Yi Lin, Niki Parmar +3
cs.CVcs.AIcs.LGarXiv:2101.11605v22021
Inverse Problems Conditioned on Observation Ensembles: Applications and Methods
Zhengyan Huan, Camila Pazos, Martin Klassen +3
cs.LGstat.MLarXiv:2601.22029v22026
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
Pan Xu, Jinghui Chen, Difan Zou +1
stat.MLcs.LGmath.OCarXiv:1707.06618v32017
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
Zirui Liu, Jiayi Yuan, Hongye Jin +5
cs.CLcs.LGcs.PFarXiv:2402.02750v22024
Variational Information Distillation for Knowledge Transfer
Sungsoo Ahn, Shell Xu Hu, Andreas Damianou +2
cs.CVcs.AIcs.LGarXiv:1904.05835v12019
Visually Indicated Sounds
Andrew Owens, Phillip Isola, Josh McDermott +3
cs.CVcs.LGcs.SDarXiv:1512.08512v22015
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy +2
cs.LGstat.MLarXiv:1906.03671v22019
CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters
Sudarsanan Rajasekaran, Manya Ghobadi, Aditya Akella
cs.NIcs.DCcs.LGarXiv:2308.00852v12023
Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
Eric Zelikman, Eliana Lorch, Lester Mackey +1
cs.CLcs.AIcs.LGarXiv:2310.02304v32023
Distributed Dexterous Manipulation with Spatially Conditioned Multi-Agent Transformers
Sarvesh Patil
cs.ROcs.LGarXiv:2609.06930v12026
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
Yi Ding, Neethu Robinson, Chengxuan Tong +2
cs.NEcs.LGeess.SParXiv:2105.02786v32021
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities
Zhifeng Kong, Arushi Goel, Rohan Badlani +3
cs.SDcs.LGeess.ASarXiv:2402.01831v32024
Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence
Kaiqing Zhang, Bin Hu, Tamer Başar
math.OCcs.LGeess.SYarXiv:1910.09496v32019
Accelerated High-Accuracy Sampling from a Warm Start via the Proximal Bouncy Particle Sampler
Fan Chen, Sinho Chewi, Jianfeng Lu +1
math.STcs.DScs.LGarXiv:2609.06905v12026
Deep Active Learning: Unified and Principled Method for Query and Training
Changjian Shui, Fan Zhou, Christian Gagné +1
cs.LGstat.MLarXiv:1911.09162v22019
MTEB: Massive Text Embedding Benchmark
Niklas Muennighoff, Nouamane Tazi, Loïc Magne +1
cs.CLcs.IRcs.LGarXiv:2210.07316v32022
TIES-Merging: Resolving Interference When Merging Models
Prateek Yadav, Derek Tam, Leshem Choshen +2
cs.LGcs.AIcs.CLarXiv:2306.01708v22023
SHARPO: Segment-Level Credit Assignment for Agentic Reinforcement Learning
Xinchen Du, Zhengze Zhou, Wenhui Zhu +4
cs.LGcs.AIarXiv:2610.00838v12026
How smoothing the affinity matrix affects neighborhood preservation in t-SNE
Shirin Mohebi, Guillaume Bied, Jefrey Lijffijt
cs.LGcs.CVarXiv:2608.17190v12026
PI-AMFM: Permutation-Invariant Learning for Variable-Cardinality AM-FM Mode Decomposition in Biomedical Signal Analysis
Youngsun Kong, Ki H. Chon
eess.SPcs.LGarXiv:2610.00819v12026
CircuitLens: Reasoning Circuits as Data Selection Signals for Reinforcement Learning with Verifiable Rewards
Zhuofan Chen, Ziqian Jiao, Yikai Cui +3
cs.CLcs.LGarXiv:2609.07183v12026
SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution
Hanlin Wang, Chak Tou Leong, Jiashuo Wang +2
cs.CLcs.LGarXiv:2505.20732v12025
MCLC-NET: Multimodal Continual Learning for Leaf Counting
Ruchi Bhatt, Pratibha Kumari, Shreya Bansal +3
cs.CVcs.LGarXiv:2609.18129v12026
OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization
Mark Boss, Vikram Voleti, Simon Donné +1
cs.LGcs.AIarXiv:2605.21226v12026
Contextual Observer Grounding: Evaluating Situated Spatial Reasoning in Vision-Language Models
Mimo Shirasaka, Haochen Zhang, Yonatan Bisk
cs.CVcs.CLcs.LGarXiv:2609.06880v12026
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting
Zezhi Shao, Zhao Zhang, Fei Wang +2
cs.LGarXiv:2208.05233v22022
TAFFY: A Task-Adaptive Tabular Foundation Model with In-Context Diversity
Zijian Li, Xiangchen Song, Gongxu Luo +7
cs.LGarXiv:2610.07559v12026
Video Generation Models: A Survey of Post-Training and Alignment
Chaoyu Li, Xiaoyi Gu, Yogesh Kulkarni +10
cs.CVcs.AIcs.LGarXiv:2610.00812v12026
Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs
Xiaoke Huang, Ningsen Wang, Hui Liu +2
cs.LGarXiv:2510.25867v22025
Feature Superposition in Neural Networks: From Theory to Practice
Dai Shi, Xiaoyu Li, Andi Han +1
cs.LGarXiv:2609.06862v12026
Kalman Filtering with Intermittent Observations: Weak Convergence to a Stationary Distribution
Soummya Kar, Bruno Sinopoli, Jose M. F. Moura
cs.ITcs.LGmath.STarXiv:0903.2890v22009
Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)
Filippo Masi, Ioannis Stefanou
cond-mat.mtrl-scics.CEcs.LGarXiv:2108.13137v32021
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging
Matteo Pagliardini, Amirkeivan Mohtashami, Francois Fleuret +1
cs.CLcs.LGarXiv:2402.02622v22024
Workload Identification with Physical Side Channels for AI Governance
Simone Gargiulo, Gabriel Kulp
cs.CRcs.AIcs.CYarXiv:2609.00309v12026
When Do Neural Networks Outperform Kernel Methods?
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz +1
stat.MLcs.LGmath.STarXiv:2006.13409v22020
Gradient Descent Converges to Minimizers
Jason D. Lee, Max Simchowitz, Michael I. Jordan +1
stat.MLcs.LGmath.OCarXiv:1602.04915v22016
PRQ-KMeans: Projection Residual Quantization for Semantic ID Tokenization
Yunxiao Luo, Siyuan Wang, Ben Chen +1
cs.LGarXiv:2608.24207v12026
Computer-Aided Multi-Objective Optimization in Small Molecule Discovery
Jenna C. Fromer, Connor W. Coley
q-bio.QMcs.LGarXiv:2210.07209v12022
Sharp Minimax Regret for Infinite-Memory Logistic Prediction
Vaneet Aggarwal
cs.ITcs.LGarXiv:2608.26515v12026
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
Marcel Kollovieh, Abdul Fatir Ansari, Michael Bohlke-Schneider +3
cs.LGcs.AIstat.MLarXiv:2307.11494v32023
An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models
Mingzhong Sun, Teresa Yeo, Armando Solar-Lezama +1
cs.AIcs.CLcs.LGarXiv:2606.01462v12026
Visual Semantic Planning using Deep Successor Representations
Yuke Zhu, Daniel Gordon, Eric Kolve +5
cs.CVcs.LGcs.ROarXiv:1705.08080v22017
Value-Decomposition Multi-Agent Actor-Critics
Jianyu Su, Stephen Adams, Peter A. Beling
cs.AIcs.LGcs.MAarXiv:2007.12306v42020
Half-Hop: A graph upsampling approach for slowing down message passing
Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor +6
cs.LGcs.SIstat.MLarXiv:2308.09198v12023
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi +1
math.OCcs.AIcs.LGarXiv:1912.11899v32019
Localizing Transfer Between Memorization Tasks
Yimiao Yu, Florentin Guth
cs.LGarXiv:2610.00771v12026
BayesNAS: A Bayesian Approach for Neural Architecture Search
Hongpeng Zhou, Minghao Yang, Jun Wang +1
cs.LGstat.MLarXiv:1905.04919v22019
Position: Privacy Is a Claim, Not a Property of Synthetic Data
Jiachen Zhao, Antonia Januszewicz, Taeho Jung
cs.LGcs.CRarXiv:2609.01273v12026
JEPA-TTT: Persistent Test-Time Training of Latent World Models for Planning under Dynamics Shifts
Zheyuan Zhang, Suyu Ye, Nakul Agarwal +5
cs.LGarXiv:2610.00722v12026
Review of multimodal machine learning approaches in healthcare
Felix Krones, Umar Marikkar, Guy Parsons +2
cs.LGcs.AIcs.CVarXiv:2402.02460v22024
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

Machine Learning

Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets

ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL

Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI

A Learning Theory Approach to Non-Interactive Database Privacy

Agents Explore but Agents Ignore: LLMs Lack Environmental Curiosity

Particle Dynamics of Flow Matching and Classifier-Free Guidance from a Stagewise Geometry Perspective

SmoothOperator: Enhancing Representations for Fine-grained Open-set Recognition via Modulated Label Smoothing

Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners

Training-Adaptive Convolutional Sparse Coding via Information Bottleneck for Robust Visual Representation

Bottleneck Transformers for Visual Recognition

Inverse Problems Conditioned on Observation Ensembles: Applications and Methods

Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache

Variational Information Distillation for Knowledge Transfer

Visually Indicated Sounds

Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters

Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation

Distributed Dexterous Manipulation with Spatially Conditioned Multi-Agent Transformers

LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface

Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities

Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence

Accelerated High-Accuracy Sampling from a Warm Start via the Proximal Bouncy Particle Sampler

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

MTEB: Massive Text Embedding Benchmark

TIES-Merging: Resolving Interference When Merging Models

SHARPO: Segment-Level Credit Assignment for Agentic Reinforcement Learning

How smoothing the affinity matrix affects neighborhood preservation in t-SNE

PI-AMFM: Permutation-Invariant Learning for Variable-Cardinality AM-FM Mode Decomposition in Biomedical Signal Analysis

CircuitLens: Reasoning Circuits as Data Selection Signals for Reinforcement Learning with Verifiable Rewards

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

MCLC-NET: Multimodal Continual Learning for Leaf Counting

OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization

Contextual Observer Grounding: Evaluating Situated Spatial Reasoning in Vision-Language Models

Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting

TAFFY: A Task-Adaptive Tabular Foundation Model with In-Context Diversity

Video Generation Models: A Survey of Post-Training and Alignment

Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs

Feature Superposition in Neural Networks: From Theory to Practice

Kalman Filtering with Intermittent Observations: Weak Convergence to a Stationary Distribution

Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)

DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging

Workload Identification with Physical Side Channels for AI Governance

When Do Neural Networks Outperform Kernel Methods?

Gradient Descent Converges to Minimizers

PRQ-KMeans: Projection Residual Quantization for Semantic ID Tokenization

Computer-Aided Multi-Objective Optimization in Small Molecule Discovery

Sharp Minimax Regret for Infinite-Memory Logistic Prediction

Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting

An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models

Visual Semantic Planning using Deep Successor Representations

Value-Decomposition Multi-Agent Actor-Critics

Half-Hop: A graph upsampling approach for slowing down message passing

Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem

Localizing Transfer Between Memorization Tasks

BayesNAS: A Bayesian Approach for Neural Architecture Search

Position: Privacy Is a Claim, Not a Property of Synthetic Data

JEPA-TTT: Persistent Test-Time Training of Latent World Models for Planning under Dynamics Shifts

Review of multimodal machine learning approaches in healthcare

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