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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14,101 to 14,160 of 20,454

A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion
Raghunandan H. Keshavan, Sewoong Oh
math.NAcs.LGarXiv:0910.5260v22009
Compositionality decomposed: how do neural networks generalise?
Dieuwke Hupkes, Verna Dankers, Mathijs Mul +1
cs.CLcs.AIcs.LGarXiv:1908.08351v22019
Variance Reduction for Faster Non-Convex Optimization
Zeyuan Allen-Zhu, Elad Hazan
math.OCcs.DScs.LGarXiv:1603.05643v22016
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
Sang Michael Xie, Hieu Pham, Xuanyi Dong +7
cs.CLcs.LGarXiv:2305.10429v42023
Dose-PlanNet: Physics Based Radiotherapy Dose Prediction with Deep Learning
Ankit Bhattacharjee, Sougata Maity, Santam Chakraborty +1
physics.med-phcs.CVcs.LGarXiv:2608.26901v12026
A Survey on Anomaly Detection for Technical Systems using LSTM Networks
Benjamin Lindemann, Benjamin Maschler, Nada Sahlab +1
cs.LGcs.AIstat.MLarXiv:2105.13810v12021
VeriGen: A Large Language Model for Verilog Code Generation
Shailja Thakur, Baleegh Ahmad, Hammond Pearce +4
cs.PLcs.LGcs.SEarXiv:2308.00708v12023
How Much Position Information Do Convolutional Neural Networks Encode?
Md Amirul Islam, Sen Jia, Neil D. B. Bruce
cs.CVcs.LGarXiv:2001.08248v12020
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts
Haoxiang Wang, Wei Xiong, Tengyang Xie +2
cs.LGcs.CLarXiv:2406.12845v12024
GP-VAE: Deep Probabilistic Time Series Imputation
Vincent Fortuin, Dmitry Baranchuk, Gunnar Rätsch +1
stat.MLcs.LGarXiv:1907.04155v52019
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
Bryan Wilder, Bistra Dilkina, Milind Tambe
cs.LGcs.AIstat.MLarXiv:1809.05504v22018
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation
Jalaj Bhandari, Daniel Russo, Raghav Singal
cs.LGstat.MLarXiv:1806.02450v22018
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner +1
stat.MLcs.LGcs.SIarXiv:1803.00816v22018
Learning Disentangled Representations for Recommendation
Jianxin Ma, Chang Zhou, Peng Cui +2
cs.LGcs.IRstat.MLarXiv:1910.14238v12019
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
Tianpei Gu, Guangyi Chen, Junlong Li +4
cs.CVcs.LGarXiv:2203.13777v12022
Equivalence Between Policy Gradients and Soft Q-Learning
John Schulman, Xi Chen, Pieter Abbeel
cs.LGarXiv:1704.06440v42017
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao, Yujia Li, Yang Song +6
cs.LGstat.MLarXiv:1910.00760v32019
Text2Motion: From Natural Language Instructions to Feasible Plans
Kevin Lin, Christopher Agia, Toki Migimatsu +2
cs.ROcs.AIcs.LGarXiv:2303.12153v52023
MM-Spectrum: Multimodal Multi-spectral Molecular Structural Elucidation with a Stable MoE Framework
Hai-tao Yu, Nan Min, Zheng Fang +4
cs.LGarXiv:2608.27286v12026
Why Deep Neural Networks for Function Approximation?
Shiyu Liang, R. Srikant
cs.LGcs.NEarXiv:1610.04161v22016
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning
Antoine Yang, Arsha Nagrani, Paul Hongsuck Seo +5
cs.CVcs.AIcs.CLarXiv:2302.14115v22023
Revisiting k-means: New Algorithms via Bayesian Nonparametrics
Brian Kulis, Michael I. Jordan
cs.LGstat.MLarXiv:1111.0352v22011
A Variational Inequality Perspective on Generative Adversarial Networks
Gauthier Gidel, Hugo Berard, Gaëtan Vignoud +2
cs.LGmath.OCstat.MLarXiv:1802.10551v52018
Emotional Preferences as Goal-Priority Regulation
Shiqi Liu, Yihua Tan, Hu Fu +1
cs.LGcs.AIarXiv:2608.27072v12026
Fixup Initialization: Residual Learning Without Normalization
Hongyi Zhang, Yann N. Dauphin, Tengyu Ma
cs.LGcs.CVstat.MLarXiv:1901.09321v22019
Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems
Nikos Komodakis, Jean-Christophe Pesquet
math.NAcs.CVcs.LGarXiv:1406.5429v22014
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
Yunsheng Bai, Hao Ding, Song Bian +3
cs.LGstat.MLarXiv:1808.05689v42018
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
Edward De Brouwer, Jaak Simm, Adam Arany +1
cs.LGstat.MLarXiv:1905.12374v22019
Scalable and Generalizable Social Bot Detection through Data Selection
Kai-Cheng Yang, Onur Varol, Pik-Mai Hui +1
cs.CYcs.LGcs.SIarXiv:1911.09179v12019
The Platonic Representation Hypothesis
Minyoung Huh, Brian Cheung, Tongzhou Wang +1
cs.LGcs.AIcs.CVarXiv:2405.07987v52024
TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech
Andy T. Liu, Shang-Wen Li, Hung-yi Lee
eess.AScs.CLcs.LGarXiv:2007.06028v32020
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace
Dimitrios Kollias, Stefanos Zafeiriou
cs.CVcs.HCcs.LGarXiv:1910.04855v12019
Dataset Condensation with Differentiable Siamese Augmentation
Bo Zhao, Hakan Bilen
cs.LGcs.CVarXiv:2102.08259v22021
Mapping the Landscape of Artificial Intelligence Applications against COVID-19
Joseph Bullock, Alexandra Luccioni, Katherine Hoffmann Pham +2
cs.CYcs.AIcs.LGarXiv:2003.11336v32020
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Yaochen Xie, Zhao Xu, Jingtun Zhang +2
cs.LGarXiv:2102.10757v52021
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit, Serge Belongie
cs.CVcs.LGarXiv:1711.11503v32017
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
Wenhao Li, Hong Liu, Hao Tang +2
cs.CVcs.AIcs.LGarXiv:2111.12707v42021
3D Hand Shape and Pose from Images in the Wild
Adnane Boukhayma, Rodrigo de Bem, Philip H. S. Torr
cs.CVcs.AIcs.LGarXiv:1902.03451v12019
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
Jiaao Chen, Zichao Yang, Diyi Yang
cs.CLcs.LGarXiv:2004.12239v12020
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout
Hao Tan, Licheng Yu, Mohit Bansal
cs.CLcs.CVcs.LGarXiv:1904.04195v12019
A Perspective on Deep Imaging
Ge Wang
q-bio.QMcs.CVcs.LGarXiv:1609.04375v22016
Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era
Xian-Feng Han, Hamid Laga, Mohammed Bennamoun
cs.CVcs.CGcs.GRarXiv:1906.06543v32019
Global Optimality of Local Search for Low Rank Matrix Recovery
Srinadh Bhojanapalli, Behnam Neyshabur, Nathan Srebro
stat.MLcs.LGmath.OCarXiv:1605.07221v22016
Aequitas: A Bias and Fairness Audit Toolkit
Pedro Saleiro, Benedict Kuester, Loren Hinkson +5
cs.LGcs.AIcs.CYarXiv:1811.05577v22018
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition
Poojan Oza, Vishal M Patel
cs.CVcs.LGarXiv:1904.01198v12019
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert +10
cs.LGstat.MLarXiv:2004.10240v22020
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
Sana Tonekaboni, Danny Eytan, Anna Goldenberg
cs.LGstat.MLarXiv:2106.00750v12021
Rethinking Graph Neural Networks for Anomaly Detection
Jianheng Tang, Jiajin Li, Ziqi Gao +1
cs.LGeess.SParXiv:2205.15508v12022
How AI Experiences Art: Emergent Aesthetic Structure in a Self-Supervised Multimodal Embedding Space
Corey D. C. Heath
cs.MMcs.CVcs.LGarXiv:2608.27121v12026
Toward Supervised Anomaly Detection
Nico Goernitz, Marius Micha Kloft, Konrad Rieck +1
cs.LGarXiv:1401.6424v12014
A Dual Approach to Scalable Verification of Deep Networks
Krishnamurthy, Dvijotham, Robert Stanforth +3
cs.LGstat.MLarXiv:1803.06567v22018
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
Nicholas Rhinehart, Rowan McAllister, Kris Kitani +1
cs.CVcs.AIcs.LGarXiv:1905.01296v32019
Theoretical Limitations of Self-Attention in Neural Sequence Models
Michael Hahn
cs.CLcs.FLcs.LGarXiv:1906.06755v22019
FastPitch: Parallel Text-to-speech with Pitch Prediction
Adrian Łańcucki
eess.AScs.CLcs.LGarXiv:2006.06873v22020
CryptoDL: Deep Neural Networks over Encrypted Data
Ehsan Hesamifard, Hassan Takabi, Mehdi Ghasemi
cs.CRcs.LGarXiv:1711.05189v12017
COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter
Martin Müller, Marcel Salathé, Per E Kummervold
cs.CLcs.LGcs.SIarXiv:2005.07503v12020
Improving Online Algorithms via ML Predictions
Ravi Kumar, Manish Purohit, Zoya Svitkina
cs.DScs.LGarXiv:2407.17712v12024
Two models of double descent for weak features
Mikhail Belkin, Daniel Hsu, Ji Xu
cs.LGstat.MLarXiv:1903.07571v22019
Verifiable Reinforcement Learning via Policy Extraction
Osbert Bastani, Yewen Pu, Armando Solar-Lezama
cs.LGstat.MLarXiv:1805.08328v22018
Generative Adversarial Perturbations
Omid Poursaeed, Isay Katsman, Bicheng Gao +1
cs.CVcs.CRcs.LGarXiv:1712.02328v32017

Machine Learning

A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion

Compositionality decomposed: how do neural networks generalise?

Variance Reduction for Faster Non-Convex Optimization

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

Dose-PlanNet: Physics Based Radiotherapy Dose Prediction with Deep Learning

A Survey on Anomaly Detection for Technical Systems using LSTM Networks

VeriGen: A Large Language Model for Verilog Code Generation

How Much Position Information Do Convolutional Neural Networks Encode?

Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts

GP-VAE: Deep Probabilistic Time Series Imputation

Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization

A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation

NetGAN: Generating Graphs via Random Walks

Learning Disentangled Representations for Recommendation

Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion

Equivalence Between Policy Gradients and Soft Q-Learning

Efficient Graph Generation with Graph Recurrent Attention Networks

Text2Motion: From Natural Language Instructions to Feasible Plans

MM-Spectrum: Multimodal Multi-spectral Molecular Structural Elucidation with a Stable MoE Framework

Why Deep Neural Networks for Function Approximation?

Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning

Revisiting k-means: New Algorithms via Bayesian Nonparametrics

A Variational Inequality Perspective on Generative Adversarial Networks

Emotional Preferences as Goal-Priority Regulation

Fixup Initialization: Residual Learning Without Normalization

Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems

SimGNN: A Neural Network Approach to Fast Graph Similarity Computation

GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series

Scalable and Generalizable Social Bot Detection through Data Selection

The Platonic Representation Hypothesis

TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech

Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace

Dataset Condensation with Differentiable Siamese Augmentation

Mapping the Landscape of Artificial Intelligence Applications against COVID-19

Self-Supervised Learning of Graph Neural Networks: A Unified Review

Convolutional Networks with Adaptive Inference Graphs

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

3D Hand Shape and Pose from Images in the Wild

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout

A Perspective on Deep Imaging

Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era

Global Optimality of Local Search for Low Rank Matrix Recovery

Aequitas: A Bias and Fairness Audit Toolkit

C2AE: Class Conditioned Auto-Encoder for Open-set Recognition

Deep Learning for Time Series Forecasting: Tutorial and Literature Survey

Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

Rethinking Graph Neural Networks for Anomaly Detection

How AI Experiences Art: Emergent Aesthetic Structure in a Self-Supervised Multimodal Embedding Space

Toward Supervised Anomaly Detection

A Dual Approach to Scalable Verification of Deep Networks

PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings

Theoretical Limitations of Self-Attention in Neural Sequence Models

FastPitch: Parallel Text-to-speech with Pitch Prediction

CryptoDL: Deep Neural Networks over Encrypted Data

COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter

Improving Online Algorithms via ML Predictions

Two models of double descent for weak features

Verifiable Reinforcement Learning via Policy Extraction

Generative Adversarial Perturbations