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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26,761 to 26,820 of 33,135

Learning Schwarzschild Geodesic Motion with Lagrangian Neural Networks
Sukru Caglar, Sena Kalabalik, Abdullah Umut Hamzaogullari +1
cs.LGgr-qcarXiv:2610.13234v12026
Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE
Haiduo Huang, Fuwei Yang, Zhenhua Liu +7
cs.CLcs.AIcs.LGarXiv:2502.06282v12025
SAITS: Self-Attention-based Imputation for Time Series
Wenjie Du, David Cote, Yan Liu
cs.LGarXiv:2202.08516v52022
Multisource and Multitemporal Data Fusion in Remote Sensing
Pedram Ghamisi, Behnood Rasti, Naoto Yokoya +9
cs.LGeess.SPstat.MLarXiv:1812.08287v12018
Handling Incomplete Heterogeneous Data using VAEs
Alfredo Nazabal, Pablo M. Olmos, Zoubin Ghahramani +1
cs.LGcs.AIstat.MLarXiv:1807.03653v42018
BLEU might be Guilty but References are not Innocent
Markus Freitag, David Grangier, Isaac Caswell
cs.CLcs.AIcs.LGarXiv:2004.06063v22020
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere +14
cs.NEcs.LGmath.NAarXiv:1802.00930v22018
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Yue Cao, Jiarui Xu, Stephen Lin +2
cs.CVcs.AIcs.LGarXiv:1904.11492v12019
A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images
Amith Khandakar, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz +7
eess.IVcs.CVcs.LGarXiv:2106.14207v12021
KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels
Han Wang, Jintao Zhang, Kai Jiang +3
cs.LGcs.PFarXiv:2605.04956v22026
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis
Brendon Lutnick, Brandon Ginley, Darshana Govind +7
eess.IVcs.CVcs.HCarXiv:1812.07509v12018
RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry
Li Sun, Zhenhao Huang, Suyang Zhou +3
cs.LGarXiv:2502.03251v22025
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet +2
cs.LGeess.SParXiv:2105.13331v22021
Smooth Imitation Learning for Online Sequence Prediction
Hoang M. Le, Andrew Kang, Yisong Yue +1
cs.LGarXiv:1606.00968v12016
Long-tail Session-based Recommendation
Siyi Liu, Yujia Zheng
cs.IRcs.LGarXiv:2007.12329v22020
Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
Sara Abdali, Richard Anarfi, CJ Barberan +2
cs.CRcs.AIcs.LGarXiv:2403.12503v22024
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
Jacob R. Gardner, Geoff Pleiss, David Bindel +2
cs.LGstat.MLarXiv:1809.11165v62018
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Mohit Shridhar, Lucas Manuelli, Dieter Fox
cs.ROcs.AIcs.CLarXiv:2209.05451v22022
Explainable Machine Learning in Deployment
Umang Bhatt, Alice Xiang, Shubham Sharma +7
cs.LGcs.AIcs.CYarXiv:1909.06342v42019
Forecasting Weather-Driven Price Dynamics Across Sri Lankan Tea Market Catalogues
Hesandi Mallawarachchi, Senilka Madurapperumage, Nadil Kulathunge +6
econ.GNcs.LGarXiv:2608.24894v12026
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
Grigory Bartosh, Dmitry Vetrov, Christian A. Naesseth
stat.MLcs.LGarXiv:2502.02472v32025
State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space
Ji Guo, Wenbo Jiang, Yansong Lin +6
cs.CRcs.LGarXiv:2601.04266v22026
LION: A Clifford Neural Paradigm for Multimodal-Attributed Graph Learning
Xunkai Li, Zekai Chen, Zhengyu Wu +6
cs.LGarXiv:2608.24795v12026
CRFCAN: A Complex-Valued Cross-Domain Residual Network for Joint Channel and Phase Noise Estimation in Sub-THz OFDM Systems
Ruilin Wang, Xiaodai Dong
cs.LGeess.SParXiv:2609.12244v12026
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
Alexandre Sablayrolles, Matthijs Douze, Yann Ollivier +2
stat.MLcs.CRcs.LGarXiv:1908.11229v12019
On the Importance of Strong Baselines in Bayesian Deep Learning
Jishnu Mukhoti, Pontus Stenetorp, Yarin Gal
cs.LGstat.MLarXiv:1811.09385v22018
Classification under Streaming Emerging New Classes: A Solution using Completely Random Trees
Xin Mu, Kai Ming Ting, Zhi-Hua Zhou
cs.LGarXiv:1605.09131v12016
Mini-Batch Primal and Dual Methods for SVMs
Martin Takáč, Avleen Bijral, Peter Richtárik +1
cs.LGmath.OCarXiv:1303.2314v12013
Nature-Inspired Optimization Algorithms: Challenges and Open Problems
Xin-She Yang
cs.NEcs.LGmath.OCarXiv:2003.03776v12020
Bytes are All You Need: End-to-End Multilingual Speech Recognition and Synthesis with Bytes
Bo Li, Yu Zhang, Tara Sainath +2
eess.AScs.CLcs.LGarXiv:1811.09021v12018
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
De-An Huang, Suraj Nair, Danfei Xu +5
cs.CVcs.AIcs.LGarXiv:1807.03480v22018
CLUE: A Chinese Language Understanding Evaluation Benchmark
Liang Xu, Hai Hu, Xuanwei Zhang +29
cs.CLcs.LGarXiv:2004.05986v32020
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
Geoffrey Roeder, Yuhuai Wu, David Duvenaud
stat.MLcs.LGarXiv:1703.09194v32017
Concrete Score Matching: Generalized Score Matching for Discrete Data
Chenlin Meng, Kristy Choi, Jiaming Song +1
cs.LGcs.AIarXiv:2211.00802v22022
Toolcompass: Guiding Tool Trialing, Not Suppressing It
Junlin Fang, Chong Zhang, Do Nguyen-Thanh +3
cs.AIcs.LGarXiv:2609.25678v12026
A Variational Dirichlet Framework for Out-of-Distribution Detection
Wenhu Chen, Yilin Shen, Hongxia Jin +1
cs.LGcs.AIcs.CVarXiv:1811.07308v42018
DraCo: Draft as CoT for Text-to-Image Preview and Rare Concept Generation
Dongzhi Jiang, Renrui Zhang, Haodong Li +9
cs.CVcs.AIcs.CLarXiv:2512.05112v12025
Enabling Agents to Communicate Entirely in Latent Space
Zhuoyun Du, Runze Wang, Huiyu Bai +6
cs.LGcs.AIcs.MAarXiv:2511.09149v52025
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
Yihua Zhang, Pingzhi Li, Junyuan Hong +10
cs.LGcs.CLarXiv:2402.11592v32024
Towards General-Purpose Model-Free Reinforcement Learning
Scott Fujimoto, Pierluca D'Oro, Amy Zhang +2
cs.LGcs.AIarXiv:2501.16142v12025
Automated data processing and feature engineering for deep learning and big data applications: a survey
Alhassan Mumuni, Fuseini Mumuni
cs.LGcs.AIcs.DBarXiv:2403.11395v22024
Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe
Hongyang Li, Chonghao Sima, Jifeng Dai +19
cs.CVcs.LGcs.ROarXiv:2209.05324v42022
Data Science as Political Action: Grounding Data Science in a Politics of Justice
Ben Green
cs.CYcs.LGarXiv:1811.03435v42018
Deep Learning in Neural Networks: An Overview
Juergen Schmidhuber
cs.NEcs.LGarXiv:1404.7828v42014
Learning Agile Robotic Locomotion Skills by Imitating Animals
Xue Bin Peng, Erwin Coumans, Tingnan Zhang +3
cs.ROcs.LGarXiv:2004.00784v32020
Early Signatures of Memorization in Diffusion Models via Basin Geometry and Cyclic Denoising
Nikhil Verma, Siddharthan Dileep, Anoop Singh +4
cs.LGarXiv:2610.11670v12026
Prior-Aligned Data Cleaning for Tabular Foundation Models
Laure Berti-Equille
cs.LGcs.DBarXiv:2604.25154v12026
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study
Aditya Siddhant, Zachary C. Lipton
cs.CLcs.LGstat.MLarXiv:1808.05697v32018
Recent Advances on Federated Learning: A Systematic Survey
Bingyan Liu, Nuoyan Lv, Yuanchun Guo +1
cs.LGarXiv:2301.01299v12023
Reinforcement Learning for Combinatorial Optimization: A Survey
Nina Mazyavkina, Sergey Sviridov, Sergei Ivanov +1
cs.LGmath.COmath.OCarXiv:2003.03600v32020
SparseGS: Sparse View Synthesis using 3D Gaussian Splatting
Haolin Xiong, Sairisheek Muttukuru, Hanyuan Xiao +4
cs.CVcs.LGeess.IVarXiv:2312.00206v42023
SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices
Ernests Lavrinovics, Marco Letizia, Roy Janco +3
cs.CLcs.LGarXiv:2606.07098v12026
Density-Reweighted Entropic Optimal Transport: Decoupling Geometry from Sampling Density
Keyi Li, Yuval Kluger, Boris Landa
stat.MLcs.LGstat.AParXiv:2608.16506v12026
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
Shengchao Liu, Weili Nie, Chengpeng Wang +6
cs.LGcs.CLq-bio.QMarXiv:2212.10789v32022
Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition
Dan Braun, Lucius Bushnaq, Stefan Heimersheim +2
cs.LGstat.MLarXiv:2501.14926v42025
Safe Exploration in Markov Decision Processes
Teodor Mihai Moldovan, Pieter Abbeel
cs.LGarXiv:1205.4810v32012
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses
Raef Bassily, Vitaly Feldman, Cristóbal Guzmán +1
cs.LGmath.OCstat.MLarXiv:2006.06914v12020
Broadly Applicable Approximate MCMC for Switching Stochastic Differential Equations Using Uniformization and Time-Conditioned Factorized Neural Likelihood Estimation
Shion Hosoda, Michiaki Hamada
stat.MLcs.LGarXiv:2610.10194v12026
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat, Jan Kautz
stat.MLcs.CVcs.LGarXiv:2007.03898v32020
Anchored Extra-Proximal Methods: Optimal Higher-Order Methods for Monotone Inclusion Problems
Ruichen Jiang, TaeHo Yoon
math.OCcs.LGstat.MLarXiv:2609.30212v12026

Machine Learning

Learning Schwarzschild Geodesic Motion with Lagrangian Neural Networks

Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE

SAITS: Self-Attention-based Imputation for Time Series

Multisource and Multitemporal Data Fusion in Remote Sensing

Handling Incomplete Heterogeneous Data using VAEs

BLEU might be Guilty but References are not Innocent

Mixed Precision Training of Convolutional Neural Networks using Integer Operations

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis

RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry

Quantization and Deployment of Deep Neural Networks on Microcontrollers

Smooth Imitation Learning for Online Sequence Prediction

Long-tail Session-based Recommendation

Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Explainable Machine Learning in Deployment

Forecasting Weather-Driven Price Dynamics Across Sri Lankan Tea Market Catalogues

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations

State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space

LION: A Clifford Neural Paradigm for Multimodal-Attributed Graph Learning

CRFCAN: A Complex-Valued Cross-Domain Residual Network for Joint Channel and Phase Noise Estimation in Sub-THz OFDM Systems

White-box vs Black-box: Bayes Optimal Strategies for Membership Inference

On the Importance of Strong Baselines in Bayesian Deep Learning

Classification under Streaming Emerging New Classes: A Solution using Completely Random Trees

Mini-Batch Primal and Dual Methods for SVMs

Nature-Inspired Optimization Algorithms: Challenges and Open Problems

Bytes are All You Need: End-to-End Multilingual Speech Recognition and Synthesis with Bytes

Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration

CLUE: A Chinese Language Understanding Evaluation Benchmark

Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference

Concrete Score Matching: Generalized Score Matching for Discrete Data

Toolcompass: Guiding Tool Trialing, Not Suppressing It

A Variational Dirichlet Framework for Out-of-Distribution Detection

DraCo: Draft as CoT for Text-to-Image Preview and Rare Concept Generation

Enabling Agents to Communicate Entirely in Latent Space

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

Towards General-Purpose Model-Free Reinforcement Learning

Automated data processing and feature engineering for deep learning and big data applications: a survey

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe

Data Science as Political Action: Grounding Data Science in a Politics of Justice

Deep Learning in Neural Networks: An Overview

Learning Agile Robotic Locomotion Skills by Imitating Animals

Early Signatures of Memorization in Diffusion Models via Basin Geometry and Cyclic Denoising

Prior-Aligned Data Cleaning for Tabular Foundation Models

Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study

Recent Advances on Federated Learning: A Systematic Survey

Reinforcement Learning for Combinatorial Optimization: A Survey

SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices

Density-Reweighted Entropic Optimal Transport: Decoupling Geometry from Sampling Density

Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing

Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition

Safe Exploration in Markov Decision Processes

Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses

Broadly Applicable Approximate MCMC for Switching Stochastic Differential Equations Using Uniformization and Time-Conditioned Factorized Neural Likelihood Estimation

NVAE: A Deep Hierarchical Variational Autoencoder

Anchored Extra-Proximal Methods: Optimal Higher-Order Methods for Monotone Inclusion Problems