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.

Search paper metadata (including unsummarized papers)

21,301 to 21,360 of 33,368

Uniform Statistical Convergence of Empirical Sinkhorn Potentials with Exponential and Polynomial Dependence on the Regularization Parameter
Denis Belomestny
stat.MLcs.LGmath.OCarXiv:2608.29152v12026
DanceOPD: On-Policy Generative Field Distillation
Wei Zhou, Xiongwei Zhu, Zelin Xu +8
cs.CVcs.CLcs.LGarXiv:2606.27377v22026
Stabilizing Training of Generative Adversarial Networks through Regularization
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin +1
cs.LGstat.MLarXiv:1705.09367v22017
Understanding the Challenges in Iterative Generative Optimization with LLMs
Allen Nie, Xavier Daull, Zhiyi Kuang +10
cs.LGcs.AIarXiv:2603.23994v22026
Enhanced Membership Inference Attacks against Machine Learning Models
Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda +2
cs.LGcs.CRstat.MLarXiv:2111.09679v42021
On First-Order Meta-Learning Algorithms
Alex Nichol, Joshua Achiam, John Schulman
cs.LGarXiv:1803.02999v32018
Where Should Optimizer State Live? Tiered State Allocation for Memory-Efficient Mixture-of-Experts Training
Nuemaan Malik
cs.LGcs.AIarXiv:2607.19058v22026
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
Ryoma Sato, Makoto Yamada, Hisashi Kashima
cs.LGstat.MLarXiv:1905.10261v22019
L2 Regularization versus Batch and Weight Normalization
Twan van Laarhoven
cs.LGstat.MLarXiv:1706.05350v12017
Does a Modern-Handwriting Warm-Up Help Historical Arabic OCR? A Reproducible, Compute-Matched Evaluation on Muharaf and KHATT
Sumaih Almarshad, Maram Alamri, Dona Aloraini +4
cs.LGcs.CVarXiv:2608.22316v12026
DeMMO: Longitudinal and Cross-Disease Modelling of Digital Mobility Outcomes via Multi-Task Learning
Menghui Zhou, Zhipeng Yuan, Vitaveska Lanfranchi +1
cs.LGcs.AIarXiv:2608.25073v12026
Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models
Kaiwen Zheng, Guande He, Min Zhao +7
cs.CVcs.LGarXiv:2606.25473v12026
DNA Methylation Profiling in Melanoma: From Lesion Classification to Therapeutic Stratification
Jana T. Winterstein, Lukas Heinlein, Günter Raddatz +34
q-bio.GNcs.LGarXiv:2608.21448v12026
Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning
Chen Tang, Yizhou Wang, Jianyu Wu +26
cs.CLcs.AIcs.CEarXiv:2607.07708v12026
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks
Arash Vahdat
cs.LGstat.MLarXiv:1706.00038v22017
Topology and Geometry of Half-Rectified Network Optimization
C. Daniel Freeman, Joan Bruna
stat.MLcs.LGarXiv:1611.01540v42016
Representation Is Not Enough: Body-Localized Thermal Evidence for Contactless Stress and Craving Sensing in Opioid Use Disorder
Sachin Deb, Harshit Sharma, Asif Salekin
cs.CVcs.LGarXiv:2608.16087v12026
Reinforcement learning to choose optimizers
Martin van der Schelling, Deepesh Toshniwal, Miguel A. Bessa
cs.NEcs.LGmath.OCarXiv:2609.01811v12026
RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization
Songming Liu, Bangguo Li, Kai Ma +5
cs.ROcs.AIcs.CVarXiv:2602.03310v12026
Improved Large Language Diffusion Models
Shen Nie, Qiyang Min, Shaoxuan Xu +7
cs.CLcs.AIcs.LGarXiv:2606.25331v12026
Mastering Diverse Domains through World Models
Danijar Hafner, Jurgis Pasukonis, Jimmy Ba +1
cs.AIcs.LGstat.MLarXiv:2301.04104v22023
Deep API Learning
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang +1
cs.SEcs.CLcs.LGarXiv:1605.08535v32016
An Introductory Survey on Attention Mechanisms in NLP Problems
Dichao Hu
cs.CLcs.LGstat.MLarXiv:1811.05544v12018
G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
Guibin Zhang, Muxin Fu, Guancheng Wan +3
cs.MAcs.CLcs.LGarXiv:2506.07398v22025
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs
Ruigang Fu, Qingyong Hu, Xiaohu Dong +3
cs.CVcs.AIcs.LGarXiv:2008.02312v42020
Multi-objective Evolutionary Federated Learning
Hangyu Zhu, Yaochu Jin
cs.LGcs.AIstat.MLarXiv:1812.07478v22018
LoRA+: Efficient Low Rank Adaptation of Large Models
Soufiane Hayou, Nikhil Ghosh, Bin Yu
cs.LGcs.AIcs.CLarXiv:2402.12354v22024
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner, Justin Fu, Marvin Zhang +1
cs.LGcs.AIstat.MLarXiv:1906.08253v32019
Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection
Dongwon Jo, Beomseok Kang, Jiwon Song +1
cs.CLcs.LGarXiv:2602.03216v32026
Finding Universal Grammatical Relations in Multilingual BERT
Ethan A. Chi, John Hewitt, Christopher D. Manning
cs.CLcs.LGarXiv:2005.04511v22020
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
Jun Zhan, Junqi Dai, Jiasheng Ye +13
cs.CLcs.AIcs.CVarXiv:2402.12226v52024
A Review of Physics-based Machine Learning in Civil Engineering
Shashank Reddy Vadyala, Sai Nethra Betgeri1, John C. Matthews +1
cs.LGcs.AIarXiv:2110.04600v22021
Chain-of-Trajectories: Unlocking the Intrinsic Generative Optimality of Diffusion Models via Graph-Theoretic Planning
Ping Chen, Xiang Liu, Xingpeng Zhang +7
cs.LGcs.CVstat.MLarXiv:2603.14704v12026
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
Qi Gao, Zilong Li, Junping Zhang +2
eess.IVcs.CVcs.LGarXiv:2304.01814v22023
Soft-Label Dataset Distillation and Text Dataset Distillation
Ilia Sucholutsky, Matthias Schonlau
cs.LGcs.AIstat.MLarXiv:1910.02551v32019
SIRL: Similarity-based Implicit Representation Learning
Andreea Bobu, Yi Liu, Rohin Shah +2
cs.ROcs.AIcs.HCarXiv:2301.00810v32023
PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
Guocheng Qian, Abdulellah Abualshour, Guohao Li +2
cs.CVcs.CGcs.LGarXiv:1912.03264v32019
Self-Improvements in Modern Agentic Systems: A Survey
Zhe Ren, Yimeng Chen, Dandan Guo +9
cs.AIcs.CLcs.LGarXiv:2607.13104v12026
Avoiding Latent Variable Collapse With Generative Skip Models
Adji B. Dieng, Yoon Kim, Alexander M. Rush +1
stat.MLcs.CLcs.LGarXiv:1807.04863v22018
AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint
Leheng Sheng, Changshuo Shen, Weixiang Zhao +6
cs.LGcs.AIcs.CRarXiv:2506.07022v22025
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling
Arka Daw, R. Quinn Thomas, Cayelan C. Carey +3
cs.LGphysics.comp-phstat.MLarXiv:1911.02682v12019
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Huichu Zhang, Siyuan Feng, Chang Liu +7
cs.MAcs.LGarXiv:1905.05217v12019
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits
Ruben Martinez-Cantin
cs.LGarXiv:1405.7430v12014
Wav-KAN: Wavelet Kolmogorov-Arnold Networks
Zavareh Bozorgasl, Hao Chen
cs.LGcs.AIeess.SParXiv:2405.12832v22024
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter, Gabriel Kreiman, David Cox
cs.LGcs.AIcs.CVarXiv:1605.08104v52016
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
Zihao Ye, Ruihang Lai, Junru Shao +2
cs.LGcs.AIcs.PLarXiv:2207.04606v42022
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
Lingbing Guo, Zequn Sun, Wei Hu
cs.AIcs.CLcs.LGarXiv:1905.04914v12019
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez +5
cs.LGcs.CRcs.DCarXiv:2211.08413v52022
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
Yang Zhang, Philip David, Boqing Gong
cs.CVcs.LGarXiv:1707.09465v52017
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need
Vighnesh Birodkar, Hossein Mobahi, Samy Bengio
cs.CVcs.LGstat.MLarXiv:1901.11409v12019
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
Shashank Rajput, Hongyi Wang, Zachary Charles +1
cs.LGcs.DCstat.MLarXiv:1907.12205v22019
Machine Learning for Large-Scale Optimization in 6G Wireless Networks
Yandong Shi, Lixiang Lian, Yuanming Shi +6
eess.SPcs.LGcs.NIarXiv:2301.03377v12023
Personalized Federated Learning through Local Memorization
Othmane Marfoq, Giovanni Neglia, Laetitia Kameni +1
cs.LGstat.MLarXiv:2111.09360v32021
Deep Unsupervised Cardinality Estimation
Zongheng Yang, Eric Liang, Amog Kamsetty +7
cs.DBcs.LGarXiv:1905.04278v22019
A Large-Scale Study on Regularization and Normalization in GANs
Karol Kurach, Mario Lucic, Xiaohua Zhai +2
cs.LGstat.MLarXiv:1807.04720v32018
SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors
Pratyaksh Rao, Wancong Zhang, Randall Balestriero +2
cs.ROcs.LGarXiv:2606.23444v22026
Robust Graph Learning from Noisy Data
Zhao Kang, Haiqi Pan, Steven C. H. Hoi +1
cs.CVcs.AIcs.LGarXiv:1812.06673v12018
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair, Vitchyr Pong, Murtaza Dalal +3
cs.LGcs.CVcs.ROarXiv:1807.04742v22018
On the Connection Between Adversarial Robustness and Saliency Map Interpretability
Christian Etmann, Sebastian Lunz, Peter Maass +1
stat.MLcs.CVcs.LGarXiv:1905.04172v12019
Functional Regularisation for Continual Learning with Gaussian Processes
Michalis K. Titsias, Jonathan Schwarz, Alexander G. de G. Matthews +2
stat.MLcs.LGarXiv:1901.11356v42019

Machine Learning

Uniform Statistical Convergence of Empirical Sinkhorn Potentials with Exponential and Polynomial Dependence on the Regularization Parameter

DanceOPD: On-Policy Generative Field Distillation

Stabilizing Training of Generative Adversarial Networks through Regularization

Understanding the Challenges in Iterative Generative Optimization with LLMs

Enhanced Membership Inference Attacks against Machine Learning Models

On First-Order Meta-Learning Algorithms

Where Should Optimizer State Live? Tiered State Allocation for Memory-Efficient Mixture-of-Experts Training

Approximation Ratios of Graph Neural Networks for Combinatorial Problems

L2 Regularization versus Batch and Weight Normalization

Does a Modern-Handwriting Warm-Up Help Historical Arabic OCR? A Reproducible, Compute-Matched Evaluation on Muharaf and KHATT

DeMMO: Longitudinal and Cross-Disease Modelling of Digital Mobility Outcomes via Multi-Task Learning

Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models

DNA Methylation Profiling in Melanoma: From Lesion Classification to Therapeutic Stratification

Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning

Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks

Topology and Geometry of Half-Rectified Network Optimization

Representation Is Not Enough: Body-Localized Thermal Evidence for Contactless Stress and Craving Sensing in Opioid Use Disorder

Reinforcement learning to choose optimizers

RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization

Improved Large Language Diffusion Models

Mastering Diverse Domains through World Models

Deep API Learning

An Introductory Survey on Attention Mechanisms in NLP Problems

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs

Multi-objective Evolutionary Federated Learning

LoRA+: Efficient Low Rank Adaptation of Large Models

When to Trust Your Model: Model-Based Policy Optimization

Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection

Finding Universal Grammatical Relations in Multilingual BERT

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

A Review of Physics-based Machine Learning in Civil Engineering

Chain-of-Trajectories: Unlocking the Intrinsic Generative Optimality of Diffusion Models via Graph-Theoretic Planning

CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization

Soft-Label Dataset Distillation and Text Dataset Distillation

SIRL: Similarity-based Implicit Representation Learning

PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks

Self-Improvements in Modern Agentic Systems: A Survey

Avoiding Latent Variable Collapse With Generative Skip Models

AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint

Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits

Wav-KAN: Wavelet Kolmogorov-Arnold Networks

Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes

Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need

DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation

Machine Learning for Large-Scale Optimization in 6G Wireless Networks

Personalized Federated Learning through Local Memorization

Deep Unsupervised Cardinality Estimation

A Large-Scale Study on Regularization and Normalization in GANs

SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors

Robust Graph Learning from Noisy Data

Visual Reinforcement Learning with Imagined Goals

On the Connection Between Adversarial Robustness and Saliency Map Interpretability

Functional Regularisation for Continual Learning with Gaussian Processes