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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17,281 to 17,340 of 20,205

Temporal Pattern Attention for Multivariate Time Series Forecasting
Shun-Yao Shih, Fan-Keng Sun, Hung-yi Lee
cs.LGcs.CLstat.MLarXiv:1809.04206v32018
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Michael Janner, Qiyang Li, Sergey Levine
cs.LGcs.AIarXiv:2106.02039v42021
Hypergraph Convolution and Hypergraph Attention
Song Bai, Feihu Zhang, Philip H. S. Torr
cs.LGcs.CVstat.MLarXiv:1901.08150v22019
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani, Josip Djolonga, Basil Mustafa +39
cs.CVcs.AIcs.LGarXiv:2302.05442v12023
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
eess.IVcs.CVcs.LGarXiv:2003.13815v32020
Differentiable Convex Optimization Layers
Akshay Agrawal, Brandon Amos, Shane Barratt +3
cs.LGmath.OCstat.MLarXiv:1910.12430v12019
Instruction Tuning for Large Language Models: A Survey
Shengyu Zhang, Linfeng Dong, Xiaoya Li +8
cs.CLcs.AIcs.LGarXiv:2308.10792v102023
A Survey on Deep Semi-supervised Learning
Xiangli Yang, Zixing Song, Irwin King +1
cs.LGarXiv:2103.00550v22021
Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines?
Anton Korznikov, Andrey Galichin, Alexey Dontsov +3
cs.LGarXiv:2602.14111v12026
The Creation and Detection of Deepfakes: A Survey
Yisroel Mirsky, Wenke Lee
cs.CVcs.LGeess.IVarXiv:2004.11138v32020
Human Motion Trajectory Prediction: A Survey
Andrey Rudenko, Luigi Palmieri, Michael Herman +3
cs.ROcs.CVcs.LGarXiv:1905.06113v32019
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
Maziar Raissi
stat.MLcs.LGmath.AParXiv:1801.06637v12018
Explainability for Large Language Models: A Survey
Haiyan Zhao, Hanjie Chen, Fan Yang +6
cs.CLcs.AIcs.LGarXiv:2309.01029v32023
Bayesian Nonparametric Federated Learning of Neural Networks
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh +3
stat.MLcs.LGarXiv:1905.12022v12019
PyOD: A Python Toolbox for Scalable Outlier Detection
Yue Zhao, Zain Nasrullah, Zheng Li
cs.LGcs.IRstat.MLarXiv:1901.01588v22019
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
Zhibo Wang, Mengkai Song, Zhifei Zhang +3
cs.LGcs.CRcs.CVarXiv:1812.00535v32018
Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital
Yasunobu Nohara, Koutarou Matsumoto, Hidehisa Soejima +1
cs.LGstat.MLarXiv:2112.11071v22021
Training Spiking Neural Networks Using Lessons From Deep Learning
Jason K. Eshraghian, Max Ward, Emre Neftci +6
cs.NEcs.ETcs.LGarXiv:2109.12894v62021
InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried, Armen Aghajanyan, Jessy Lin +7
cs.SEcs.CLcs.LGarXiv:2204.05999v32022
X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests
Jie Wu, Haoling Li, Xin Zhang +7
cs.CLcs.LGarXiv:2601.06953v22026
Apodex 1.1: Scaling Agentic Intelligence for Complex Work
Apodex Team, B. An, B. Li +68
cs.AIcs.CLcs.LGarXiv:2608.23283v12026
Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets
Frederik Kratzert, Daniel Klotz, Guy Shalev +3
cs.LGstat.MLarXiv:1907.08456v22019
Reasoning Models Generate Societies of Thought
Junsol Kim, Shiyang Lai, Nino Scherrer +2
cs.CLcs.CYcs.LGarXiv:2601.10825v12026
Is Q-learning Provably Efficient?
Chi Jin, Zeyuan Allen-Zhu, Sebastien Bubeck +1
cs.LGcs.AImath.OCarXiv:1807.03765v12018
SimVLA: A Simple VLA Baseline for Robotic Manipulation
Yuankai Luo, Woping Chen, Tong Liang +2
cs.ROcs.LGarXiv:2602.18224v12026
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
Yuxuan Wang, Daisy Stanton, Yu Zhang +7
cs.CLcs.LGcs.SDarXiv:1803.09017v12018
Long Range Arena: A Benchmark for Efficient Transformers
Yi Tay, Mostafa Dehghani, Samira Abnar +7
cs.LGcs.AIcs.CLarXiv:2011.04006v12020
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song, Conor Durkan, Iain Murray +1
stat.MLcs.LGarXiv:2101.09258v42021
End-to-end Autonomous Driving: Challenges and Frontiers
Li Chen, Penghao Wu, Kashyap Chitta +3
cs.ROcs.AIcs.CVarXiv:2306.16927v32023
Sharp Minima Can Generalize For Deep Nets
Laurent Dinh, Razvan Pascanu, Samy Bengio +1
cs.LGarXiv:1703.04933v22017
Non-Autoregressive Neural Machine Translation
Jiatao Gu, James Bradbury, Caiming Xiong +2
cs.CLcs.LGarXiv:1711.02281v22017
The Truthfulness Spectrum Hypothesis
Zhuofan Josh Ying, Shauli Ravfogel, Nikolaus Kriegeskorte +1
cs.LGarXiv:2602.20273v12026
Interpolation Consistency Training for Semi-Supervised Learning
Vikas Verma, Kenji Kawaguchi, Alex Lamb +4
stat.MLcs.AIcs.LGarXiv:1903.03825v52019
From Scale to Speed: Adaptive Test-Time Scaling for Image Editing
Xiangyan Qu, Zhenlong Yuan, Jing Tang +9
cs.CVcs.AIcs.LGarXiv:2603.00141v32026
UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience
Zichuan Lin, Feiyu Liu, Yijun Yang +9
cs.LGcs.AIcs.CVarXiv:2603.24533v12026
Image Generation from Scene Graphs
Justin Johnson, Agrim Gupta, Li Fei-Fei
cs.CVcs.LGarXiv:1804.01622v12018
A Survey of Modern Deep Learning based Object Detection Models
Syed Sahil Abbas Zaidi, Mohammad Samar Ansari, Asra Aslam +3
cs.CVcs.LGeess.IVarXiv:2104.11892v22021
Auto-Keras: An Efficient Neural Architecture Search System
Haifeng Jin, Qingquan Song, Xia Hu
cs.LGcs.AIstat.MLarXiv:1806.10282v32018
Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks
Wentao Zhu, Cuiling Lan, Junliang Xing +4
cs.CVcs.LGarXiv:1603.07772v12016
GraphLab: A New Framework for Parallel Machine Learning
Yucheng Low, Joseph Gonzalez, Aapo Kyrola +3
cs.LGcs.DCarXiv:1006.4990v12010
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
Scott Ettinger, Shuyang Cheng, Benjamin Caine +15
cs.CVcs.LGcs.ROarXiv:2104.10133v12021
ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
Qiang Zhang, Boli Chen, Fanrui Zhang +14
cs.LGcs.AIarXiv:2601.06487v32026
Learning to Represent Programs with Graphs
Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi
cs.LGcs.AIcs.PLarXiv:1711.00740v32017
Compressive Transformers for Long-Range Sequence Modelling
Jack W. Rae, Anna Potapenko, Siddhant M. Jayakumar +1
cs.LGstat.MLarXiv:1911.05507v12019
Efficient Neural Audio Synthesis
Nal Kalchbrenner, Erich Elsen, Karen Simonyan +7
cs.SDcs.LGeess.ASarXiv:1802.08435v22018
Deep Learning using Linear Support Vector Machines
Yichuan Tang
cs.LGstat.MLarXiv:1306.0239v42013
Grammar as a Foreign Language
Oriol Vinyals, Lukasz Kaiser, Terry Koo +3
cs.CLcs.LGstat.MLarXiv:1412.7449v32014
K-BERT: Enabling Language Representation with Knowledge Graph
Weijie Liu, Peng Zhou, Zhe Zhao +4
cs.CLcs.LGarXiv:1909.07606v12019
Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs
Wei Zhou, Jun Zhou, Haoyu Wang +16
cs.DBcs.AIcs.CLarXiv:2601.17058v12026
Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models
Yun Qu, Qi Wang, Yixiu Mao +8
cs.AIcs.LGarXiv:2602.01970v22026
Learning to Repair Lean Proofs from Compiler Feedback
Evan Wang, Simon Chess, Daniel Lee +4
cs.LGarXiv:2602.02990v22026
Graph Structure Learning for Robust Graph Neural Networks
Wei Jin, Yao Ma, Xiaorui Liu +3
cs.LGcs.CRcs.SIarXiv:2005.10203v32020
LatentMem: Customizing Latent Memory for Multi-Agent Systems
Muxin Fu, Xiangyuan Xue, Yafu Li +5
cs.CLcs.LGcs.MAarXiv:2602.03036v22026
On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models
Shumin Wang, Yuexiang Xie, Wenhao Zhang +4
cs.LGcs.AIarXiv:2602.03392v12026
Compressed Sensing using Generative Models
Ashish Bora, Ajil Jalal, Eric Price +1
stat.MLcs.ITcs.LGarXiv:1703.03208v12017
RegionCLIP: Region-based Language-Image Pretraining
Yiwu Zhong, Jianwei Yang, Pengchuan Zhang +8
cs.CVcs.AIcs.LGarXiv:2112.09106v12021
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
cs.AIcs.LGstat.MLarXiv:1610.03295v12016
RoboPocket: Improve Robot Policies Instantly with Your Phone
Junjie Fang, Wendi Chen, Han Xue +7
cs.ROcs.AIcs.LGarXiv:2603.05504v22026
Learned in Translation: Contextualized Word Vectors
Bryan McCann, James Bradbury, Caiming Xiong +1
cs.CLcs.AIcs.LGarXiv:1708.00107v22017
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari +10
cs.CLcs.AIcs.IRarXiv:2310.03714v12023

Machine Learning

Temporal Pattern Attention for Multivariate Time Series Forecasting

Offline Reinforcement Learning as One Big Sequence Modeling Problem

Hypergraph Convolution and Hypergraph Attention

Scaling Vision Transformers to 22 Billion Parameters

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Differentiable Convex Optimization Layers

Instruction Tuning for Large Language Models: A Survey

A Survey on Deep Semi-supervised Learning

Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines?

The Creation and Detection of Deepfakes: A Survey

Human Motion Trajectory Prediction: A Survey

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

Explainability for Large Language Models: A Survey

Bayesian Nonparametric Federated Learning of Neural Networks

PyOD: A Python Toolbox for Scalable Outlier Detection

Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital

Training Spiking Neural Networks Using Lessons From Deep Learning

InCoder: A Generative Model for Code Infilling and Synthesis

X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests

Apodex 1.1: Scaling Agentic Intelligence for Complex Work

Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets

Reasoning Models Generate Societies of Thought

Is Q-learning Provably Efficient?

SimVLA: A Simple VLA Baseline for Robotic Manipulation

Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis

Long Range Arena: A Benchmark for Efficient Transformers

Maximum Likelihood Training of Score-Based Diffusion Models

End-to-end Autonomous Driving: Challenges and Frontiers

Sharp Minima Can Generalize For Deep Nets

Non-Autoregressive Neural Machine Translation

The Truthfulness Spectrum Hypothesis

Interpolation Consistency Training for Semi-Supervised Learning

From Scale to Speed: Adaptive Test-Time Scaling for Image Editing

UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience

Image Generation from Scene Graphs

A Survey of Modern Deep Learning based Object Detection Models

Auto-Keras: An Efficient Neural Architecture Search System

Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks

GraphLab: A New Framework for Parallel Machine Learning

Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset

ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking

Learning to Represent Programs with Graphs

Compressive Transformers for Long-Range Sequence Modelling

Efficient Neural Audio Synthesis

Deep Learning using Linear Support Vector Machines

Grammar as a Foreign Language

K-BERT: Enabling Language Representation with Knowledge Graph

Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models

Learning to Repair Lean Proofs from Compiler Feedback

Graph Structure Learning for Robust Graph Neural Networks

LatentMem: Customizing Latent Memory for Multi-Agent Systems

On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models

Compressed Sensing using Generative Models

RegionCLIP: Region-based Language-Image Pretraining

Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

RoboPocket: Improve Robot Policies Instantly with Your Phone

Learned in Translation: Contextualized Word Vectors

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines