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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12,181 to 12,240 of 20,199

Subgraph Federated Learning with Missing Neighbor Generation
Ke Zhang, Carl Yang, Xiaoxiao Li +2
cs.LGcs.SIarXiv:2106.13430v62021
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms
Erich Schubert, Peter J. Rousseeuw
cs.LGstat.MLarXiv:1810.05691v42018
Deep AutoRegressive Networks
Karol Gregor, Ivo Danihelka, Andriy Mnih +2
cs.LGstat.MLarXiv:1310.8499v22013
Data-Free Knowledge Distillation for Deep Neural Networks
Raphael Gontijo Lopes, Stefano Fenu, Thad Starner
cs.LGarXiv:1710.07535v22017
Deep Learning for Text Style Transfer: A Survey
Di Jin, Zhijing Jin, Zhiting Hu +2
cs.CLcs.AIcs.LGarXiv:2011.00416v52020
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
Peter Kairouz, Ziyu Liu, Thomas Steinke
cs.LGcs.DSstat.MLarXiv:2102.06387v42021
The Kolmogorov-Arnold representation theorem revisited
Johannes Schmidt-Hieber
cs.LGcs.NEstat.MLarXiv:2007.15884v22020
Multi-task self-supervised learning for Robust Speech Recognition
Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual +4
eess.AScs.CLcs.LGarXiv:2001.09239v22020
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
Ye Yuan, Kris Kitani
cs.CVcs.LGeess.IVarXiv:2003.08386v22020
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
Ronghui You, Zihan Zhang, Ziye Wang +3
cs.CLcs.LGarXiv:1811.01727v32018
Semantic Segmentation using Vision Transformers: A survey
Hans Thisanke, Chamli Deshan, Kavindu Chamith +3
cs.CVcs.AIcs.LGarXiv:2305.03273v12023
Explaining the Explainer: A First Theoretical Analysis of LIME
Damien Garreau, Ulrike von Luxburg
cs.LGstat.MLarXiv:2001.03447v22020
Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access
Bhuwan Dhingra, Lihong Li, Xiujun Li +4
cs.CLcs.LGarXiv:1609.00777v32016
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
Samuel L. Smith, Quoc V. Le
cs.LGcs.AIstat.MLarXiv:1710.06451v32017
Neural Expectation Maximization
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
cs.LGcs.NEstat.MLarXiv:1708.03498v22017
Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior
Gabriel B Margolis, Pulkit Agrawal
cs.ROcs.AIcs.LGarXiv:2212.03238v12022
Learning Equations for Extrapolation and Control
Subham S. Sahoo, Christoph H. Lampert, Georg Martius
cs.LGstat.MLarXiv:1806.07259v12018
Fast Differentiable Sorting and Ranking
Mathieu Blondel, Olivier Teboul, Quentin Berthet +1
stat.MLcs.LGarXiv:2002.08871v22020
Learned Optimizers that Scale and Generalize
Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman +4
cs.LGcs.NEstat.MLarXiv:1703.04813v42017
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation
James Townsend, Niklas Koep, Sebastian Weichwald
cs.MScs.LGmath.OCarXiv:1603.03236v42016
Hash Layers For Large Sparse Models
Stephen Roller, Sainbayar Sukhbaatar, Arthur Szlam +1
cs.LGcs.CLarXiv:2106.04426v32021
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
Yu Li, Tao Wang, Bingyi Kang +4
cs.CVcs.LGstat.MLarXiv:2006.10408v12020
Mean estimation and regression under heavy-tailed distributions--a survey
Gabor Lugosi, Shahar Mendelson
math.STcs.LGstat.MLarXiv:1906.04280v12019
Self-Imitation Learning
Junhyuk Oh, Yijie Guo, Satinder Singh +1
cs.LGcs.AIstat.MLarXiv:1806.05635v12018
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
Yuan Gao, Jiayi Ma, Mingbo Zhao +2
cs.CVcs.LGarXiv:1801.08297v42018
Parallel Coordinate Descent for L1-Regularized Loss Minimization
Joseph K. Bradley, Aapo Kyrola, Danny Bickson +1
cs.LGcs.ITarXiv:1105.5379v12011
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
Hong Liu, Zhiyuan Li, David Hall +2
cs.LGcs.CLmath.OCarXiv:2305.14342v42023
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms
Ruoxi Jia, David Dao, Boxin Wang +6
cs.LGstat.MLarXiv:1908.08619v42019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels
Ke Sun, Zhouchen Lin, Zhanxing Zhu
cs.LGstat.MLarXiv:1902.11038v22019
Hidden Two-Stream Convolutional Networks for Action Recognition
Yi Zhu, Zhenzhong Lan, Shawn Newsam +1
cs.CVcs.LGcs.MMarXiv:1704.00389v42017
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
William H. Guss, Brandon Houghton, Nicholay Topin +4
cs.LGcs.AIcs.NEarXiv:1907.13440v12019
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds
Andrea Zanette, Emma Brunskill
cs.LGcs.AIstat.MLarXiv:1901.00210v42019
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
Siqi Miao, Miaoyuan Liu, Pan Li
cs.LGarXiv:2201.12987v32022
Video Summarization Using Deep Neural Networks: A Survey
Evlampios Apostolidis, Eleni Adamantidou, Alexandros I. Metsai +2
cs.CVcs.LGcs.MMarXiv:2101.06072v22021
Auditing Black-box Models for Indirect Influence
Philip Adler, Casey Falk, Sorelle A. Friedler +4
stat.MLcs.LGarXiv:1602.07043v22016
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks
Vahid Behzadan, Arslan Munir
cs.LGcs.AIarXiv:1701.04143v12017
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers
Yawar Siddiqui, Antonio Alliegro, Alexey Artemov +5
cs.CVcs.LGarXiv:2311.15475v12023
Gradient Descent Happens in a Tiny Subspace
Guy Gur-Ari, Daniel A. Roberts, Ethan Dyer
cs.LGcs.AIstat.MLarXiv:1812.04754v12018
High-dimensional cluster analysis with the Masked EM Algorithm
Shabnam N. Kadir, Dan F. M. Goodman, Kenneth D. Harris
q-bio.QMcs.LGq-bio.NCarXiv:1309.2848v12013
Physically Realizable Adversarial Examples for LiDAR Object Detection
James Tu, Mengye Ren, Siva Manivasagam +5
cs.CVcs.CRcs.LGarXiv:2004.00543v22020
Productivity Assessment of Neural Code Completion
Albert Ziegler, Eirini Kalliamvakou, Shawn Simister +5
cs.SEcs.CLcs.HCarXiv:2205.06537v12022
Deep Variational Reinforcement Learning for POMDPs
Maximilian Igl, Luisa Zintgraf, Tuan Anh Le +2
cs.LGstat.MLarXiv:1806.02426v12018
Flow Matching Guide and Code
Yaron Lipman, Marton Havasi, Peter Holderrieth +7
cs.LGarXiv:2412.06264v12024
Weakly-Supervised Semantic Segmentation via Sub-category Exploration
Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung +3
cs.CVcs.LGeess.IVarXiv:2008.01183v12020
Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization
Tingyu Wang, Zhedong Zheng, Chenggang Yan +4
cs.CVcs.LGarXiv:2008.11646v32020
Evolution-Guided Policy Gradient in Reinforcement Learning
Shauharda Khadka, Kagan Tumer
cs.LGcs.NEstat.MLarXiv:1805.07917v22018
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Thomas Schnake, Oliver Eberle, Jonas Lederer +4
cs.LGcs.AIstat.MLarXiv:2006.03589v32020
Embedding Deep Metric for Person Re-identication A Study Against Large Variations
Hailin Shi, Yang Yang, Xiangyu Zhu +4
cs.CVcs.LGarXiv:1611.00137v12016
Spatio-temporal video autoencoder with differentiable memory
Viorica Patraucean, Ankur Handa, Roberto Cipolla
cs.LGcs.CVarXiv:1511.06309v52015
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Vardan Papyan, Yaniv Romano, Michael Elad
stat.MLcs.LGarXiv:1607.08194v42016
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga +4
cs.CLcs.LGarXiv:2201.08860v12022
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data
David Hallac, Sagar Vare, Stephen Boyd +1
cs.LGcs.SImath.OCarXiv:1706.03161v22017
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
Cameron Musco, Christopher Musco
cs.DScs.LGmath.NAarXiv:1504.05477v42015
A Spectral Algorithm for Learning Hidden Markov Models
Daniel Hsu, Sham M. Kakade, Tong Zhang
cs.LGcs.AIarXiv:0811.4413v62008
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He, Daniel Spokoyny, Graham Neubig +1
cs.LGstat.MLarXiv:1901.05534v22019
Physics-Informed Neural Network for Modelling the Thermochemical Curing Process of Composite-Tool Systems During Manufacture
Sina Amini Niaki, Ehsan Haghighat, Trevor Campbell +2
cs.LGarXiv:2011.13511v22020
Robustness of Random Forest-based gene selection methods
Miron B. Kursa
cs.LGq-bio.QMarXiv:1305.4525v32013
Automatic Text Scoring Using Neural Networks
Dimitrios Alikaniotis, Helen Yannakoudakis, Marek Rei
cs.CLcs.LGcs.NEarXiv:1606.04289v22016
On the equivalence between graph isomorphism testing and function approximation with GNNs
Zhengdao Chen, Soledad Villar, Lei Chen +1
cs.LGstat.MLarXiv:1905.12560v22019
Alignment faking in large language models
Ryan Greenblatt, Carson Denison, Benjamin Wright +17
cs.AIcs.CLcs.LGarXiv:2412.14093v22024

Machine Learning

Subgraph Federated Learning with Missing Neighbor Generation

Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms

Deep AutoRegressive Networks

Data-Free Knowledge Distillation for Deep Neural Networks

Deep Learning for Text Style Transfer: A Survey

The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation

The Kolmogorov-Arnold representation theorem revisited

Multi-task self-supervised learning for Robust Speech Recognition

DLow: Diversifying Latent Flows for Diverse Human Motion Prediction

AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

Semantic Segmentation using Vision Transformers: A survey

Explaining the Explainer: A First Theoretical Analysis of LIME

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

A Bayesian Perspective on Generalization and Stochastic Gradient Descent

Neural Expectation Maximization

Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior

Learning Equations for Extrapolation and Control

Fast Differentiable Sorting and Ranking

Learned Optimizers that Scale and Generalize

Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation

Hash Layers For Large Sparse Models

Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax

Mean estimation and regression under heavy-tailed distributions--a survey

Self-Imitation Learning

NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction

Parallel Coordinate Descent for L1-Regularized Loss Minimization

Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training

Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms

Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels

Hidden Two-Stream Convolutional Networks for Action Recognition

MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds

Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism

Video Summarization Using Deep Neural Networks: A Survey

Auditing Black-box Models for Indirect Influence

Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks

MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers

Gradient Descent Happens in a Tiny Subspace

High-dimensional cluster analysis with the Masked EM Algorithm

Physically Realizable Adversarial Examples for LiDAR Object Detection

Productivity Assessment of Neural Code Completion

Deep Variational Reinforcement Learning for POMDPs

Flow Matching Guide and Code

Weakly-Supervised Semantic Segmentation via Sub-category Exploration

Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization

Evolution-Guided Policy Gradient in Reinforcement Learning

Higher-Order Explanations of Graph Neural Networks via Relevant Walks

Embedding Deep Metric for Person Re-identication A Study Against Large Variations

Spatio-temporal video autoencoder with differentiable memory

Convolutional Neural Networks Analyzed via Convolutional Sparse Coding

GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data

Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition

A Spectral Algorithm for Learning Hidden Markov Models

Lagging Inference Networks and Posterior Collapse in Variational Autoencoders

Physics-Informed Neural Network for Modelling the Thermochemical Curing Process of Composite-Tool Systems During Manufacture

Robustness of Random Forest-based gene selection methods

Automatic Text Scoring Using Neural Networks

On the equivalence between graph isomorphism testing and function approximation with GNNs

Alignment faking in large language models