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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21,901 to 21,960 of 33,227

Mind the Execution Gap: Action-Semantic Mismatch in World-Model Control
Shengtao Wen, Xiang Chen, Yu Tian +3
cs.AIcs.CLcs.IRarXiv:2610.06582v12026
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Xuheng Cai, Chao Huang, Lianghao Xia +1
cs.IRcs.LGarXiv:2302.08191v32023
Estimating Information Flow in Deep Neural Networks
Ziv Goldfeld, Ewout van den Berg, Kristjan Greenewald +4
cs.LGstat.MLarXiv:1810.05728v42018
Near-optimal Reinforcement Learning in Factored MDPs
Ian Osband, Benjamin Van Roy
stat.MLcs.LGarXiv:1403.3741v32014
Line Graph Neural Networks for Link Prediction
Lei Cai, Jundong Li, Jie Wang +1
cs.LGarXiv:2010.10046v12020
NeuroActiSep: Detecting Factual Hallucinations from Feed-Forward Neurons in a Single Pass
Ali Derogar Odolou, Reza Nazari, Mostafa Salehi
cs.CLcs.AIcs.LGarXiv:2609.14448v12026
Estimating the intrinsic dimension of datasets by a minimal neighborhood information
Elena Facco, Maria d'Errico, Alex Rodriguez +1
stat.MLcs.LGarXiv:1803.06992v12018
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
Guangyin Jin, Yuxuan Liang, Yuchen Fang +4
cs.LGarXiv:2303.14483v32023
UniFusion: Vision-Language Model as Unified Encoder in Image Generation
Kevin Li, Manuel Brack, Sudeep Katakol +2
cs.CVcs.AIcs.LGarXiv:2510.12789v12025
Positive-incentive Noise
Xuelong Li
cs.LGarXiv:2212.09541v12022
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming
Hussein Mozannar, Gagan Bansal, Adam Fourney +1
cs.SEcs.HCcs.LGarXiv:2210.14306v52022
Reducing hallucination in structured outputs via Retrieval-Augmented Generation
Patrice Béchard, Orlando Marquez Ayala
cs.LGcs.AIcs.CLarXiv:2404.08189v12024
Depthwise Separable Convolutions for Neural Machine Translation
Lukasz Kaiser, Aidan N. Gomez, Francois Chollet
cs.CLcs.LGarXiv:1706.03059v22017
Denoising Surface: Modeling and Predicting Inference Cost for Diffusion LLM Serving
Haoyu Zheng, Fangcheng Fu, Binhang Yuan +6
cs.LGarXiv:2610.00499v12026
Entity Abstraction in Visual Model-Based Reinforcement Learning
Rishi Veerapaneni, John D. Co-Reyes, Michael Chang +5
cs.LGcs.CVcs.NEarXiv:1910.12827v52019
Jingfang: An LLM-Based Multi-Agent System for Precise Medical Consultation and Syndrome Differentiation in Traditional Chinese Medicine
Yehan Yang, Tianhao Ma, Ruotai Li +2
cs.CLcs.AIcs.LGarXiv:2502.04345v32025
Keyword Transformer: A Self-Attention Model for Keyword Spotting
Axel Berg, Mark O'Connor, Miguel Tairum Cruz
eess.AScs.CLcs.LGarXiv:2104.00769v32021
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
Andreas Auer, Patrick Podest, Daniel Klotz +3
cs.LGarXiv:2505.23719v22025
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong +4
cs.NIcs.LGarXiv:1810.07862v12018
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye +1
cs.CVcs.LGarXiv:2403.12030v12024
Pedestrian Attribute Recognition: A Survey
Xiao Wang, Shaofei Zheng, Rui Yang +4
cs.CVcs.AIcs.LGarXiv:1901.07474v22019
Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling
Zeyu Huang, Tianhao Cheng, Zihan Qiu +4
cs.LGcs.AIcs.CLarXiv:2507.01679v32025
Towards Crafting Text Adversarial Samples
Suranjana Samanta, Sameep Mehta
cs.LGcs.AIcs.CLarXiv:1707.02812v12017
Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow
Haocheng Xi, Charlie Ruan, Peiyuan Liao +7
cs.LGcs.CLarXiv:2601.14243v22026
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Tara Akhound-Sadegh, Jarrid Rector-Brooks, Avishek Joey Bose +9
cs.LGstat.MLarXiv:2402.06121v22024
SIGMA: Structured Noise-Effect-Aware Grouped Multi-Agent Aggregation
Li Mingqian
cs.AIcs.LGcs.MAarXiv:2608.26683v12026
Hypothesize, Evaluate, Refine: A Scientific Agent for PDE Discovery with Unknown Spatial Coefficient Fields
YuJie Huang, WenWu He, ZhuoEr Lin +3
cs.AIcs.LGarXiv:2608.27475v12026
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
Yang Li, Jiazheng Li, Yi Wang
cs.LGeess.SPeess.SYarXiv:2107.07738v12021
Inferring and Executing Programs for Visual Reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten +4
cs.CVcs.CLcs.LGarXiv:1705.03633v12017
Critique of World Model
Eric Xing, Mingkai Deng, Jinyu Hou
cs.LGcs.AIcs.CLarXiv:2507.05169v52025
Parabolic Position Encoding: Vision-Centric, Principled, Extrapolatable, General
Christoffer Koo Øhrstrøm, Rafael I. Cabral Muchacho, Yifei Dong +4
cs.CVcs.LGarXiv:2602.01418v22026
Offline Multi-Action Policy Learning: Generalization and Optimization
Zhengyuan Zhou, Susan Athey, Stefan Wager
stat.MLcs.LGecon.EMarXiv:1810.04778v22018
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
Raphael Suter, Đorđe Miladinović, Bernhard Schölkopf +1
stat.MLcs.LGarXiv:1811.00007v22018
Robust Learning Through Cross-Task Consistency
Amir Zamir, Alexander Sax, Teresa Yeo +6
cs.CVcs.GRcs.LGarXiv:2006.04096v12020
Adversarially Learned Anomaly Detection
Houssam Zenati, Manon Romain, Chuan Sheng Foo +2
cs.LGstat.MLarXiv:1812.02288v12018
Iterative Amortized Inference
Joseph Marino, Yisong Yue, Stephan Mandt
cs.LGstat.MLarXiv:1807.09356v12018
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms
Wei Chen, Yajun Wang, Yang Yuan +1
cs.LGarXiv:1407.8339v62014
Guide, Not Bind: Why Defeasible Priors Fail in Augmented Lagrangian Causal Discovery
Sairam Sundararaman, Sara Girdhar, Manit Narasimha Murthy +2
cs.LGarXiv:2609.03442v12026
Feature relevance quantification in explainable AI: A causal problem
Dominik Janzing, Lenon Minorics, Patrick Blöbaum
stat.MLcs.LGarXiv:1910.13413v22019
Latent Diffusion for Language Generation
Justin Lovelace, Varsha Kishore, Chao Wan +2
cs.CLcs.LGarXiv:2212.09462v22022
ProCUA-SFT Technical Report
Jaehun Jung, Ximing Lu, Brandon Cui +11
cs.LGcs.CVarXiv:2606.17321v12026
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws
Xu Ouyang, Deyi Liu, Yuhang Cai +5
cs.LGcs.AIcs.ITarXiv:2605.23901v12026
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
Jelena Luketina, Mathias Berglund, Klaus Greff +1
cs.LGarXiv:1511.06727v32015
B-Spline CNNs on Lie Groups
Erik J Bekkers
cs.LGstat.MLarXiv:1909.12057v42019
Practical and sample efficient zero-shot HPO
Fela Winkelmolen, Nikita Ivkin, H. Furkan Bozkurt +1
stat.MLcs.LGarXiv:2007.13382v12020
Gradient descent aligns the layers of deep linear networks
Ziwei Ji, Matus Telgarsky
cs.LGmath.OCstat.MLarXiv:1810.02032v22018
Generative Translation Priors: Bayesian Imaging with Cross-Modality Image Translation
Evan Bell, Jiaming Liu, Yifan Chen +1
eess.IVcs.CVcs.LGarXiv:2608.28872v12026
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Yiping Wang, Qing Yang, Zhiyuan Zeng +11
cs.LGcs.AIcs.CLarXiv:2504.20571v32025
NanoProof: Open and Efficient Automated Theorem Proving in Lean 4
Matěj Kripner, Milan Straka
cs.LGcs.AIarXiv:2610.11605v12026
NeuronFuzz: Safety Neuron Guided Fuzzing for LLM Safety Evaluation
Zhiyuan Xu, Muhammad Firhard Roslan, Joseph Gardiner +2
cs.LGcs.AIcs.CRarXiv:2608.26222v12026
Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents
Jiawei Wang, Jiacai Liu, Yuqian Fu +7
cs.LGcs.CLarXiv:2509.09265v12025
Decoding the Critique Mechanism in Large Reasoning Models
Hoang Phan, Quang H. Nguyen, Hung T. Q. Le +3
cs.LGarXiv:2603.16331v22026
Machine Unlearning for Gibbs Supervised Learning Algorithms
Yaiza Bermudez, Samir M. Perlaza, Iñaki Esnaola
stat.MLcs.LGarXiv:2609.29409v12026
Additive Gaussian Processes
David Duvenaud, Hannes Nickisch, Carl Edward Rasmussen
stat.MLcs.LGarXiv:1112.4394v12011
R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model
Hengguang Zhou, Xirui Li, Ruochen Wang +3
cs.AIcs.CVcs.LGarXiv:2503.05132v22025
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction
Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang +2
cs.CVcs.AIcs.LGarXiv:2302.07817v22023
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning
Charles H. Martin, Michael W. Mahoney
cs.LGstat.MLarXiv:1810.01075v12018
Transcript-Supervised Post-Training of Generative Speech Enhancement on Real Recordings via Reinforce Adjoint Matching
Julius Richter, Christoph Boeddeker, Yoshiki Masuyama +4
eess.AScs.LGarXiv:2609.29405v12026
GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models
Xiaohang Tang, Keyue Jiang, Che Liu +4
cs.LGcs.AIarXiv:2605.29398v12026
Clustered Multi-Task Learning: A Convex Formulation
Laurent Jacob, Francis Bach, Jean-Philippe Vert
cs.LGarXiv:0809.2085v12008

Machine Learning

Mind the Execution Gap: Action-Semantic Mismatch in World-Model Control

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation

Estimating Information Flow in Deep Neural Networks

Near-optimal Reinforcement Learning in Factored MDPs

Line Graph Neural Networks for Link Prediction

NeuroActiSep: Detecting Factual Hallucinations from Feed-Forward Neurons in a Single Pass

Estimating the intrinsic dimension of datasets by a minimal neighborhood information

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

UniFusion: Vision-Language Model as Unified Encoder in Image Generation

Positive-incentive Noise

Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming

Reducing hallucination in structured outputs via Retrieval-Augmented Generation

Depthwise Separable Convolutions for Neural Machine Translation

Denoising Surface: Modeling and Predicting Inference Cost for Diffusion LLM Serving

Entity Abstraction in Visual Model-Based Reinforcement Learning

Jingfang: An LLM-Based Multi-Agent System for Precise Medical Consultation and Syndrome Differentiation in Traditional Chinese Medicine

Keyword Transformer: A Self-Attention Model for Keyword Spotting

TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning

Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning

Pedestrian Attribute Recognition: A Survey

Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling

Towards Crafting Text Adversarial Samples

Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow

Iterated Denoising Energy Matching for Sampling from Boltzmann Densities

SIGMA: Structured Noise-Effect-Aware Grouped Multi-Agent Aggregation

Hypothesize, Evaluate, Refine: A Scientific Agent for PDE Discovery with Unknown Spatial Coefficient Fields

Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach

Inferring and Executing Programs for Visual Reasoning

Critique of World Model

Parabolic Position Encoding: Vision-Centric, Principled, Extrapolatable, General

Offline Multi-Action Policy Learning: Generalization and Optimization

Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness

Robust Learning Through Cross-Task Consistency

Adversarially Learned Anomaly Detection

Iterative Amortized Inference

Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms

Guide, Not Bind: Why Defeasible Priors Fail in Augmented Lagrangian Causal Discovery

Feature relevance quantification in explainable AI: A causal problem

Latent Diffusion for Language Generation

ProCUA-SFT Technical Report

LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws

Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters

B-Spline CNNs on Lie Groups

Practical and sample efficient zero-shot HPO

Gradient descent aligns the layers of deep linear networks

Generative Translation Priors: Bayesian Imaging with Cross-Modality Image Translation

Reinforcement Learning for Reasoning in Large Language Models with One Training Example

NanoProof: Open and Efficient Automated Theorem Proving in Lean 4

NeuronFuzz: Safety Neuron Guided Fuzzing for LLM Safety Evaluation

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents

Decoding the Critique Mechanism in Large Reasoning Models

Machine Unlearning for Gibbs Supervised Learning Algorithms

Additive Gaussian Processes

R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model

Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction

Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning

Transcript-Supervised Post-Training of Generative Speech Enhancement on Real Recordings via Reinforce Adjoint Matching

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models

Clustered Multi-Task Learning: A Convex Formulation