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.

Search paper metadata (including unsummarized papers)

9,301 to 9,360 of 20,193

Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption
Susan Athey, Guido Imbens
econ.EMcs.LGmath.STarXiv:1808.05293v32018
Hierarchical Imitation and Reinforcement Learning
Hoang M. Le, Nan Jiang, Alekh Agarwal +3
cs.LGcs.AIstat.MLarXiv:1803.00590v22018
Can Large Language Models Infer Causation from Correlation?
Zhijing Jin, Jiarui Liu, Zhiheng Lyu +5
cs.CLcs.AIcs.LGarXiv:2306.05836v32023
Large Language Models for Test-Free Fault Localization
Aidan Z. H. Yang, Ruben Martins, Claire Le Goues +1
cs.SEcs.LGarXiv:2310.01726v12023
Sequential Recommendation via Stochastic Self-Attention
Ziwei Fan, Zhiwei Liu, Alice Wang +4
cs.IRcs.AIcs.LGarXiv:2201.06035v22022
Modern Bayesian Experimental Design
Tom Rainforth, Adam Foster, Desi R Ivanova +1
stat.MLcs.AIcs.LGarXiv:2302.14545v22023
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning
Mark Sendak, Madeleine Elish, Michael Gao +6
cs.CYcs.AIcs.HCarXiv:1911.08089v22019
Synchromesh: Reliable code generation from pre-trained language models
Gabriel Poesia, Oleksandr Polozov, Vu Le +4
cs.LGcs.PLarXiv:2201.11227v12022
Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks
Daniel Lévy, Arzav Jain
cs.CVcs.LGarXiv:1612.00542v12016
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing
Tal Schuster, Ori Ram, Regina Barzilay +1
cs.CLcs.LGarXiv:1902.09492v22019
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa
cs.LGcs.CVcs.NEarXiv:1605.09332v42016
TransTab: Learning Transferable Tabular Transformers Across Tables
Zifeng Wang, Jimeng Sun
cs.LGcs.AIarXiv:2205.09328v22022
Chargrid: Towards Understanding 2D Documents
Anoop Raveendra Katti, Christian Reisswig, Cordula Guder +4
cs.CLcs.CVcs.LGarXiv:1809.08799v12018
Forecasting Sequential Data using Consistent Koopman Autoencoders
Omri Azencot, N. Benjamin Erichson, Vanessa Lin +1
physics.comp-phcs.LGmath.DSarXiv:2003.02236v22020
Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares
Mert Pilanci, Martin J. Wainwright
math.OCcs.ITcs.LGarXiv:1411.0347v12014
Reconsidering Representation Alignment for Multi-view Clustering
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen +1
cs.CVcs.LGarXiv:2103.07738v12021
Precision and Recall for Time Series
Nesime Tatbul, Tae Jun Lee, Stan Zdonik +2
cs.LGcs.AIarXiv:1803.03639v32018
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov +1
cs.AIcs.LGarXiv:2111.06077v22021
Off-Policy Multi-Agent Decomposed Policy Gradients
Yihan Wang, Beining Han, Tonghan Wang +2
cs.LGcs.MAstat.MLarXiv:2007.12322v22020
Summaries:한국어
FALKON: An Optimal Large Scale Kernel Method
Alessandro Rudi, Luigi Carratino, Lorenzo Rosasco
stat.MLcs.LGarXiv:1705.10958v32017
Transfer learning based multi-fidelity physics informed deep neural network
Souvik Chakraborty
cs.LGphysics.comp-phstat.MLarXiv:2005.10614v22020
Physics-Informed Deep Neural Operator Networks
Somdatta Goswami, Aniruddha Bora, Yue Yu +1
cs.LGmath.NAarXiv:2207.05748v22022
Greedy Layerwise Learning Can Scale to ImageNet
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
cs.LGstat.MLarXiv:1812.11446v32018
Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction
Roger Girgis, Florian Golemo, Felipe Codevilla +5
cs.ROcs.AIcs.CVarXiv:2104.00563v32021
Patching open-vocabulary models by interpolating weights
Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre +5
cs.CVcs.LGarXiv:2208.05592v22022
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies
Kaiqing Zhang, Alec Koppel, Hao Zhu +1
math.OCcs.LGeess.SYarXiv:1906.08383v32019
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang, Hongge Chen, Duane Boning +1
cs.LGcs.AIstat.MLarXiv:2101.08452v12021
Quantum Variational Autoencoder
Amir Khoshaman, Walter Vinci, Brandon Denis +3
quant-phcs.LGstat.MLarXiv:1802.05779v22018
Unsupervised Domain Adaptation in Semantic Segmentation: a Review
Marco Toldo, Andrea Maracani, Umberto Michieli +1
cs.CVcs.LGeess.IVarXiv:2005.10876v12020
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction
Renhe Jiang, Du Yin, Zhaonan Wang +7
cs.LGarXiv:2108.09091v12021
Understanding World or Predicting Future? A Comprehensive Survey of World Models
Jingtao Ding, Yunke Zhang, Yu Shang +12
cs.CLcs.AIcs.LGarXiv:2411.14499v42024
Latent Dirichlet Allocation (LDA) for Topic Modeling of the CFPB Consumer Complaints
Kaveh Bastani, Hamed Namavari, Jeffry Shaffer
cs.IRcs.LGstat.MLarXiv:1807.07468v12018
Swin Transformer for Fast MRI
Jiahao Huang, Yingying Fang, Yinzhe Wu +6
eess.IVcs.AIcs.CVarXiv:2201.03230v22022
Event-triggered Control and Online Learning for Networked Systems under Computational Delays
Xiaobing Dai, Armin Lederer, Zewen Yang +4
cs.LGcs.ROeess.SYarXiv:2608.29576v12026
Avalanche: an End-to-End Library for Continual Learning
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu +25
cs.LGcs.AIcs.CVarXiv:2104.00405v12021
A neural network approach to ordinal regression
Jianlin Cheng
cs.LGcs.AIcs.NEarXiv:0704.1028v12007
Multimodal Language Analysis with Recurrent Multistage Fusion
Paul Pu Liang, Ziyin Liu, Amir Zadeh +1
cs.LGcs.AIcs.CLarXiv:1808.03920v12018
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
Chuhang Zou, Ersin Yumer, Jimei Yang +2
cs.CVcs.AIcs.LGarXiv:1708.01648v12017
Detailed comparison of communication efficiency of split learning and federated learning
Abhishek Singh, Praneeth Vepakomma, Otkrist Gupta +1
cs.LGcs.DCstat.MLarXiv:1909.09145v12019
Batch Normalized Recurrent Neural Networks
César Laurent, Gabriel Pereyra, Philémon Brakel +2
stat.MLcs.LGcs.NEarXiv:1510.01378v12015
Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazaré +1
cs.CLcs.AIcs.HCarXiv:1901.05415v42019
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions
Wenbo Hu, Yifan Xu, Yi Li +3
cs.CVcs.AIcs.CLarXiv:2308.09936v32023
ARMOR: Manifold-Oriented Training for Adversarially Robust Aerial Object Detection under Data Scarcity
Haoran Wang, Matthew Lau, Alec Helbling +7
cs.CVcs.CRcs.LGarXiv:2608.29510v12026
Editable Neural Networks
Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitriy Pyrkin +2
cs.LGstat.MLarXiv:2004.00345v22020
On Formalizing Fairness in Prediction with Machine Learning
Pratik Gajane, Mykola Pechenizkiy
cs.LGcs.AIstat.MLarXiv:1710.03184v32017
Consistency of trace norm minimization
Francis Bach
cs.LGarXiv:0710.2848v12007
Exploratory Combinatorial Optimization with Reinforcement Learning
Thomas D. Barrett, William R. Clements, Jakob N. Foerster +1
cs.LGcs.AIstat.MLarXiv:1909.04063v22019
Predicting the Generalization Gap in Deep Networks with Margin Distributions
Yiding Jiang, Dilip Krishnan, Hossein Mobahi +1
stat.MLcs.LGarXiv:1810.00113v22018
Open Domain Generalization with Domain-Augmented Meta-Learning
Yang Shu, Zhangjie Cao, Chenyu Wang +2
cs.CVcs.LGarXiv:2104.03620v12021
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
Zhenyu Hou, Yufei He, Yukuo Cen +4
cs.LGarXiv:2304.04779v12023
Learning with Biased Complementary Labels
Xiyu Yu, Tongliang Liu, Mingming Gong +1
stat.MLcs.LGarXiv:1711.09535v32017
A Self-Supervised Descriptor for Image Copy Detection
Ed Pizzi, Sreya Dutta Roy, Sugosh Nagavara Ravindra +2
cs.CVcs.CRcs.LGarXiv:2202.10261v22022
Theoretical Analysis of Domain Adaptation with Optimal Transport
Ievgen Redko, Amaury Habrard, Marc Sebban
stat.MLcs.LGarXiv:1610.04420v42016
Self-supervised representation learning from 12-lead ECG data
Temesgen Mehari, Nils Strodthoff
eess.SPcs.LGstat.MLarXiv:2103.12676v22021
Relational recurrent neural networks
Adam Santoro, Ryan Faulkner, David Raposo +7
cs.LGstat.MLarXiv:1806.01822v22018
An Empirical Study of Graph Contrastive Learning
Yanqiao Zhu, Yichen Xu, Qiang Liu +1
cs.LGcs.SIarXiv:2109.01116v22021
A dataset of continuous affect annotations and physiological signals for emotion analysis
Karan Sharma, Claudio Castellini, Egon L. van den Broek +2
cs.HCcs.LGarXiv:1812.02782v12018
Metric Learning with Adaptive Density Discrimination
Oren Rippel, Manohar Paluri, Piotr Dollar +1
stat.MLcs.LGarXiv:1511.05939v22015
Deep Coordination Graphs
Wendelin Böhmer, Vitaly Kurin, Shimon Whiteson
cs.LGcs.AIcs.MAarXiv:1910.00091v42019
Equivariant Subgraph Aggregation Networks
Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim +5
cs.LGstat.MLarXiv:2110.02910v32021

Machine Learning

Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption

Hierarchical Imitation and Reinforcement Learning

Can Large Language Models Infer Causation from Correlation?

Large Language Models for Test-Free Fault Localization

Sequential Recommendation via Stochastic Self-Attention

Modern Bayesian Experimental Design

"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning

Synchromesh: Reliable code generation from pre-trained language models

Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks

Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing

Parametric Exponential Linear Unit for Deep Convolutional Neural Networks

TransTab: Learning Transferable Tabular Transformers Across Tables

Chargrid: Towards Understanding 2D Documents

Forecasting Sequential Data using Consistent Koopman Autoencoders

Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares

Reconsidering Representation Alignment for Multi-view Clustering

Precision and Recall for Time Series

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations

Off-Policy Multi-Agent Decomposed Policy Gradients

FALKON: An Optimal Large Scale Kernel Method

Transfer learning based multi-fidelity physics informed deep neural network

Physics-Informed Deep Neural Operator Networks

Greedy Layerwise Learning Can Scale to ImageNet

Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction

Patching open-vocabulary models by interpolating weights

Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Quantum Variational Autoencoder

Unsupervised Domain Adaptation in Semantic Segmentation: a Review

DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction

Understanding World or Predicting Future? A Comprehensive Survey of World Models

Latent Dirichlet Allocation (LDA) for Topic Modeling of the CFPB Consumer Complaints

Swin Transformer for Fast MRI

Event-triggered Control and Online Learning for Networked Systems under Computational Delays

Avalanche: an End-to-End Library for Continual Learning

A neural network approach to ordinal regression

Multimodal Language Analysis with Recurrent Multistage Fusion

3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks

Detailed comparison of communication efficiency of split learning and federated learning

Batch Normalized Recurrent Neural Networks

Learning from Dialogue after Deployment: Feed Yourself, Chatbot!

BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions

ARMOR: Manifold-Oriented Training for Adversarially Robust Aerial Object Detection under Data Scarcity

Editable Neural Networks

On Formalizing Fairness in Prediction with Machine Learning

Consistency of trace norm minimization

Exploratory Combinatorial Optimization with Reinforcement Learning

Predicting the Generalization Gap in Deep Networks with Margin Distributions

Open Domain Generalization with Domain-Augmented Meta-Learning

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner

Learning with Biased Complementary Labels

A Self-Supervised Descriptor for Image Copy Detection

Theoretical Analysis of Domain Adaptation with Optimal Transport

Self-supervised representation learning from 12-lead ECG data

Relational recurrent neural networks

An Empirical Study of Graph Contrastive Learning

A dataset of continuous affect annotations and physiological signals for emotion analysis

Metric Learning with Adaptive Density Discrimination

Deep Coordination Graphs

Equivariant Subgraph Aggregation Networks