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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14,341 to 14,400 of 20,219

Isolating Sources of Disentanglement in Variational Autoencoders
Ricky T. Q. Chen, Xuechen Li, Roger Grosse +1
cs.LGcs.AIstat.MLarXiv:1802.04942v52018
BERT Loses Patience: Fast and Robust Inference with Early Exit
Wangchunshu Zhou, Canwen Xu, Tao Ge +3
cs.CLcs.LGarXiv:2006.04152v32020
PettingZoo: Gym for Multi-Agent Reinforcement Learning
J. K. Terry, Benjamin Black, Nathaniel Grammel +10
cs.LGcs.MAstat.MLarXiv:2009.14471v72020
Mitigating Strong-Modality Collapse in Multimodal Learning via Inverted Asymmetric Fusion
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat
cs.LGcs.MMarXiv:2608.26879v12026
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras, Ning Xie, Marcel van Gerven +1
cs.LGcs.AIstat.MLarXiv:2004.14545v22020
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
Yochai Blau, Tomer Michaeli
cs.LGcs.CVcs.ITarXiv:1901.07821v42019
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes
Rachel Ward, Xiaoxia Wu, Leon Bottou
stat.MLcs.LGarXiv:1806.01811v82018
Causal Abstractions of Neural Networks
Atticus Geiger, Hanson Lu, Thomas Icard +1
cs.AIcs.LGarXiv:2106.02997v22021
Single-Channel Multi-Speaker Separation using Deep Clustering
Yusuf Isik, Jonathan Le Roux, Zhuo Chen +2
cs.LGcs.SDstat.MLarXiv:1607.02173v12016
Residual Flows for Invertible Generative Modeling
Ricky T. Q. Chen, Jens Behrmann, David Duvenaud +1
stat.MLcs.LGarXiv:1906.02735v62019
Large scale distributed neural network training through online distillation
Rohan Anil, Gabriel Pereyra, Alexandre Passos +3
cs.LGcs.AIstat.MLarXiv:1804.03235v22018
Causal Confusion in Imitation Learning
Pim de Haan, Dinesh Jayaraman, Sergey Levine
cs.LGstat.MLarXiv:1905.11979v22019
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search
Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi
cs.IRcs.LGarXiv:1905.01989v32019
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Quanyi Li, Zhenghao Peng, Lan Feng +3
cs.LGcs.ROarXiv:2109.12674v32021
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien, Martin Jaggi
math.OCcs.LGstat.MLarXiv:1511.05932v12015
Neural Regression with Embeddings for Numerical Attribute Prediction in Knowledge Graphs
Rupesh Sapkota, Louis Mozart Kamdem Teyou, Moshood Yekini +2
cs.LGarXiv:2608.26729v12026
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
Zhiqin Chen, Thomas Funkhouser, Peter Hedman +1
cs.CVcs.GRcs.LGarXiv:2208.00277v52022
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang, Xilie Xu, Bo Han +4
cs.LGstat.MLarXiv:2002.11242v22020
lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits
Kevin Jamieson, Matthew Malloy, Robert Nowak +1
stat.MLcs.LGarXiv:1312.7308v12013
EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
Youru Li, Zhenfeng Zhu, Deqiang Kong +2
cs.LGcs.NEstat.MLarXiv:1811.03760v12018
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer
Coline Devin, Abhishek Gupta, Trevor Darrell +2
cs.LGcs.ROarXiv:1609.07088v12016
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
Guhao Feng, Bohang Zhang, Yuntian Gu +3
cs.LGcs.CCcs.CLarXiv:2305.15408v52023
Physics-informed neural networks for solving Reynolds-averaged Navier$\unicode{x2013}$Stokes equations
Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter +1
physics.flu-dyncs.LGphysics.comp-pharXiv:2107.10711v12021
Stance Detection with Bidirectional Conditional Encoding
Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos +1
cs.CLcs.LGcs.NEarXiv:1606.05464v22016
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
Jiancheng Yang, Rui Shi, Bingbing Ni
cs.CVcs.AIcs.LGarXiv:2010.14925v42020
GRNet: Gridding Residual Network for Dense Point Cloud Completion
Haozhe Xie, Hongxun Yao, Shangchen Zhou +3
cs.CVcs.LGeess.IVarXiv:2006.03761v42020
The Forward-Forward Algorithm: Some Preliminary Investigations
Geoffrey Hinton
cs.LGarXiv:2212.13345v12022
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
Soroush Nasiriany, Abhiram Maddukuri, Lance Zhang +5
cs.ROcs.AIcs.LGarXiv:2406.02523v12024
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
Raphael Tang, Yao Lu, Linqing Liu +3
cs.CLcs.LGarXiv:1903.12136v12019
Analyzing and Improving the Training Dynamics of Diffusion Models
Tero Karras, Miika Aittala, Jaakko Lehtinen +3
cs.CVcs.AIcs.LGarXiv:2312.02696v22023
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective
Jie Xu, Heqiang Wang
cs.DCcs.LGarXiv:2004.04314v12020
DALEX: explainers for complex predictive models
Przemyslaw Biecek
stat.MLcs.AIcs.LGarXiv:1806.08915v22018
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Thijs Vogels, Sai Praneeth Karimireddy, Martin Jaggi
cs.LGcs.DCmath.OCarXiv:1905.13727v32019
Fairness in Recommendation Ranking through Pairwise Comparisons
Alex Beutel, Jilin Chen, Tulsee Doshi +8
cs.CYcs.AIcs.IRarXiv:1903.00780v12019
CrypTFlow2: Practical 2-Party Secure Inference
Deevashwer Rathee, Mayank Rathee, Nishant Kumar +4
cs.CRcs.LGarXiv:2010.06457v12020
Learning Gender-Neutral Word Embeddings
Jieyu Zhao, Yichao Zhou, Zeyu Li +2
cs.CLcs.LGstat.MLarXiv:1809.01496v12018
PhysDiff: Physics-Guided Human Motion Diffusion Model
Ye Yuan, Jiaming Song, Umar Iqbal +2
cs.CVcs.AIcs.GRarXiv:2212.02500v32022
Diachronic Embedding for Temporal Knowledge Graph Completion
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker +1
cs.LGcs.AIstat.MLarXiv:1907.03143v12019
Algorithm Runtime Prediction: Methods & Evaluation
Frank Hutter, Lin Xu, Holger H. Hoos +1
cs.AIcs.LGcs.PFarXiv:1211.0906v22012
Hadamard Flattening and Gaussian Pooling Sketch for Least Squares with Coordinate-wise Guarantee
Zhao Song, Lichen Zhang
cs.DScs.LGstat.MLarXiv:2608.26552v12026
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
Zhikai Chen, Haitao Mao, Hang Li +8
cs.LGcs.AIarXiv:2307.03393v42023
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell, Joe Benton, Valentin De Bortoli +3
stat.MLcs.LGarXiv:2205.14987v22022
Hyperspectral Diffusion Equivariant Imaging (HyDiff-EI): A Self-supervised Framework for Hyperspectral Image Inpainting
Shuo Li, Mike Davies, Mehrdad Yaghoobi
cs.CVcs.LGarXiv:2608.26812v12026
Robust Neural Stimulation Response Modeling Through Meta-Learning and Pretraining
Matthew J Bryan, Daniel C Muir, Felix Schwock +2
cs.LGarXiv:2608.26649v12026
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations
Debraj Basu, Deepesh Data, Can Karakus +1
stat.MLcs.DCcs.LGarXiv:1906.02367v22019
Simple, Scalable Adaptation for Neural Machine Translation
Ankur Bapna, Naveen Arivazhagan, Orhan Firat
cs.CLcs.LGarXiv:1909.08478v12019
Population Structure Analysis of an Inbred Population using Quantitative Shape Phenotyping from Stereo Retinal Photographs
Li Tang, Michael D Abramoff
cs.LGcs.CVq-bio.QMarXiv:2608.15471v12026
GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records
Xi Yang, Aokun Chen, Nima PourNejatian +15
cs.CLcs.AIcs.LGarXiv:2203.03540v32022
Summaries:한국어
Synthetic Data from Diffusion Models Improves ImageNet Classification
Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia +2
cs.CVcs.AIcs.CLarXiv:2304.08466v12023
Dataset Augmentation in Feature Space
Terrance DeVries, Graham W. Taylor
stat.MLcs.LGarXiv:1702.05538v12017
A Transformer-based Approach for Source Code Summarization
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray +1
cs.SEcs.AIcs.LGarXiv:2005.00653v12020
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Xiao Wang, Deyu Bo, Chuan Shi +3
cs.SIcs.LGarXiv:2011.14867v12020
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction
Chen-Hsuan Lin, Chen Kong, Simon Lucey
cs.CVcs.LGarXiv:1706.07036v12017
Maximum Entropy Deep Inverse Reinforcement Learning
Markus Wulfmeier, Peter Ondruska, Ingmar Posner
cs.LGarXiv:1507.04888v32015
ToTTo: A Controlled Table-To-Text Generation Dataset
Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann +4
cs.CLcs.LGarXiv:2004.14373v32020
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
Pan Lu, Liang Qiu, Kai-Wei Chang +5
cs.LGcs.AIcs.CLarXiv:2209.14610v32022
Secure Federated Matrix Factorization
Di Chai, Leye Wang, Kai Chen +1
cs.CRcs.LGarXiv:1906.05108v12019
Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots
Adrien Baranes, Pierre-Yves Oudeyer
cs.LGcs.AIcs.CVarXiv:1301.4862v12013
Omni-Dimensional Dynamic Convolution
Chao Li, Aojun Zhou, Anbang Yao
cs.CVcs.AIcs.LGarXiv:2209.07947v12022
Transfer learning in hybrid classical-quantum neural networks
Andrea Mari, Thomas R. Bromley, Josh Izaac +2
quant-phcs.LGstat.MLarXiv:1912.08278v22019

Machine Learning

Isolating Sources of Disentanglement in Variational Autoencoders

BERT Loses Patience: Fast and Robust Inference with Early Exit

PettingZoo: Gym for Multi-Agent Reinforcement Learning

Mitigating Strong-Modality Collapse in Multimodal Learning via Inverted Asymmetric Fusion

Explainable Deep Learning: A Field Guide for the Uninitiated

Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff

AdaGrad stepsizes: Sharp convergence over nonconvex landscapes

Causal Abstractions of Neural Networks

Single-Channel Multi-Speaker Separation using Deep Clustering

Residual Flows for Invertible Generative Modeling

Large scale distributed neural network training through online distillation

Causal Confusion in Imitation Learning

Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

On the Global Linear Convergence of Frank-Wolfe Optimization Variants

Neural Regression with Embeddings for Numerical Attribute Prediction in Knowledge Graphs

MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger

lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits

EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction

Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer

Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective

Physics-informed neural networks for solving Reynolds-averaged Navier$\unicode{x2013}$Stokes equations

Stance Detection with Bidirectional Conditional Encoding

MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

GRNet: Gridding Residual Network for Dense Point Cloud Completion

The Forward-Forward Algorithm: Some Preliminary Investigations

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

Distilling Task-Specific Knowledge from BERT into Simple Neural Networks

Analyzing and Improving the Training Dynamics of Diffusion Models

Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective

DALEX: explainers for complex predictive models

PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Fairness in Recommendation Ranking through Pairwise Comparisons

CrypTFlow2: Practical 2-Party Secure Inference

Learning Gender-Neutral Word Embeddings

PhysDiff: Physics-Guided Human Motion Diffusion Model

Diachronic Embedding for Temporal Knowledge Graph Completion

Algorithm Runtime Prediction: Methods & Evaluation

Hadamard Flattening and Gaussian Pooling Sketch for Least Squares with Coordinate-wise Guarantee

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

A Continuous Time Framework for Discrete Denoising Models

Hyperspectral Diffusion Equivariant Imaging (HyDiff-EI): A Self-supervised Framework for Hyperspectral Image Inpainting

Robust Neural Stimulation Response Modeling Through Meta-Learning and Pretraining

Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations

Simple, Scalable Adaptation for Neural Machine Translation

Population Structure Analysis of an Inbred Population using Quantitative Shape Phenotyping from Stereo Retinal Photographs

GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records

Synthetic Data from Diffusion Models Improves ImageNet Classification

Dataset Augmentation in Feature Space

A Transformer-based Approach for Source Code Summarization

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction

Maximum Entropy Deep Inverse Reinforcement Learning

ToTTo: A Controlled Table-To-Text Generation Dataset

Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning

Secure Federated Matrix Factorization

Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots

Omni-Dimensional Dynamic Convolution

Transfer learning in hybrid classical-quantum neural networks