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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12,421 to 12,480 of 20,193

Graph Neural Networks for Graphs with Heterophily: A Survey
Xin Zheng, Yi Wang, Yixin Liu +5
cs.LGarXiv:2202.07082v42022
Learning Affinity via Spatial Propagation Networks
Sifei Liu, Shalini De Mello, Jinwei Gu +3
cs.CVcs.LGarXiv:1710.01020v12017
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes
Biwei Huang, Kun Zhang, Jiji Zhang +4
cs.LGstat.MLarXiv:1903.01672v52019
ManiGAN: Text-Guided Image Manipulation
Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz +1
cs.CVcs.CLcs.LGarXiv:1912.06203v22019
A Kronecker-factored approximate Fisher matrix for convolution layers
Roger Grosse, James Martens
stat.MLcs.LGarXiv:1602.01407v22016
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
Marco Fraccaro, Simon Kamronn, Ulrich Paquet +1
stat.MLcs.LGarXiv:1710.05741v22017
Disentangling Label Distribution for Long-tailed Visual Recognition
Youngkyu Hong, Seungju Han, Kwanghee Choi +3
cs.CVcs.LGarXiv:2012.00321v22020
DiffusionNet: Discretization Agnostic Learning on Surfaces
Nicholas Sharp, Souhaib Attaiki, Keenan Crane +1
cs.CVcs.CGcs.LGarXiv:2012.00888v32020
DYNOTEARS: Structure Learning from Time-Series Data
Roxana Pamfil, Nisara Sriwattanaworachai, Shaan Desai +4
stat.MLcs.LGarXiv:2002.00498v22020
Provably efficient machine learning for quantum many-body problems
Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai +2
quant-phcs.ITcs.LGarXiv:2106.12627v42021
Geometry-aware Instance-reweighted Adversarial Training
Jingfeng Zhang, Jianing Zhu, Gang Niu +3
cs.LGcs.AIarXiv:2010.01736v22020
How do Data Science Workers Collaborate? Roles, Workflows, and Tools
Amy X. Zhang, Michael Muller, Dakuo Wang
cs.HCcs.AIcs.LGarXiv:2001.06684v32020
Omnivore: A Single Model for Many Visual Modalities
Rohit Girdhar, Mannat Singh, Nikhila Ravi +3
cs.CVcs.AIcs.IRarXiv:2201.08377v22022
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs
Zequn Sun, Qingheng Zhang, Wei Hu +4
cs.CLcs.AIcs.DBarXiv:2003.07743v22020
DLAU: A Scalable Deep Learning Accelerator Unit on FPGA
Chao Wang, Qi Yu, Lei Gong +3
cs.LGcs.DCcs.NEarXiv:1605.06894v12016
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
Jiahao Ji, Jingyuan Wang, Chao Huang +5
cs.LGcs.AIarXiv:2212.04475v22022
Federated Evaluation of On-device Personalization
Kangkang Wang, Rajiv Mathews, Chloé Kiddon +3
cs.LGstat.MLarXiv:1910.10252v12019
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning
Justin Engelmann, Stefan Lessmann
cs.LGarXiv:2008.09202v12020
Fully Connected Deep Structured Networks
Alexander G. Schwing, Raquel Urtasun
cs.CVcs.LGarXiv:1503.02351v12015
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning
Runhua Xu, Nathalie Baracaldo, Yi Zhou +2
cs.CRcs.LGarXiv:1912.05897v12019
An Overview of Catastrophic AI Risks
Dan Hendrycks, Mantas Mazeika, Thomas Woodside
cs.CYcs.AIcs.LGarXiv:2306.12001v62023
Learning Robust Features using Deep Learning for Automatic Seizure Detection
Pierre Thodoroff, Joelle Pineau, Andrew Lim
cs.LGcs.CVarXiv:1608.00220v12016
Darts: User-Friendly Modern Machine Learning for Time Series
Julien Herzen, Francesco Lässig, Samuele Giuliano Piazzetta +16
cs.LGstat.COarXiv:2110.03224v32021
Deep Self-Learning From Noisy Labels
Jiangfan Han, Ping Luo, Xiaogang Wang
cs.CVcs.LGarXiv:1908.02160v22019
What's "up" with vision-language models? Investigating their struggle with spatial reasoning
Amita Kamath, Jack Hessel, Kai-Wei Chang
cs.CLcs.CVcs.LGarXiv:2310.19785v12023
Very Deep Convolutional Networks for Text Classification
Alexis Conneau, Holger Schwenk, Loïc Barrault +1
cs.CLcs.LGcs.NEarXiv:1606.01781v22016
Self-Supervised GANs via Auxiliary Rotation Loss
Ting Chen, Xiaohua Zhai, Marvin Ritter +2
cs.LGcs.CVstat.MLarXiv:1811.11212v22018
Application of k Means Clustering algorithm for prediction of Students Academic Performance
O. J. Oyelade, O. O. Oladipupo, I. C. Obagbuwa
cs.LGcs.CYarXiv:1002.2425v12010
On the Convergence of Local Descent Methods in Federated Learning
Farzin Haddadpour, Mehrdad Mahdavi
cs.LGcs.DCstat.MLarXiv:1910.14425v22019
A Joint Model of Language and Perception for Grounded Attribute Learning
Cynthia Matuszek, Nicholas FitzGerald, Luke Zettlemoyer +2
cs.CLcs.LGcs.ROarXiv:1206.6423v12012
Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks
Octavian Suciu, Radu Mărginean, Yiğitcan Kaya +2
cs.CRcs.LGarXiv:1803.06975v22018
Deep Graph Clustering via Dual Correlation Reduction
Yue Liu, Wenxuan Tu, Sihang Zhou +4
cs.LGcs.AIcs.CVarXiv:2112.14772v12021
Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches
Yonatan Vaizman, Katherine Ellis, Gert Lanckriet
cs.AIcs.CYcs.HCarXiv:1609.06354v42016
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
Haibo Yang, Minghong Fang, Jia Liu
cs.LGcs.DCarXiv:2101.11203v32021
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang, Yiming Ying
cs.LGcs.AImath.OCarXiv:2203.15046v32022
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks
Dongwook Lee, Jaejun Yoo, Sungho Tak +1
cs.CVcs.AIcs.LGarXiv:1804.00432v12018
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
Fan Mo, Hamed Haddadi, Kleomenis Katevas +3
cs.CRcs.DCcs.LGarXiv:2104.14380v22021
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow
Steffen Wiewel, Moritz Becher, Nils Thuerey
cs.LGcs.GRarXiv:1802.10123v32018
Deep Partial Multi-View Learning
Changqing Zhang, Yajie Cui, Zongbo Han +3
cs.LGarXiv:2011.06170v12020
Graph Neural Networks for Decentralized Multi-Robot Path Planning
Qingbiao Li, Fernando Gama, Alejandro Ribeiro +1
cs.ROcs.AIcs.LGarXiv:1912.06095v22019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka
cs.LGcs.AIcs.CVarXiv:1904.09503v22019
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction
Dule Shu, Zijie Li, Amir Barati Farimani
cs.LGphysics.flu-dynarXiv:2211.14680v22022
Accelerating Reinforcement Learning with Learned Skill Priors
Karl Pertsch, Youngwoon Lee, Joseph J. Lim
cs.LGcs.AIcs.ROarXiv:2010.11944v12020
Few-shot Image Generation via Cross-domain Correspondence
Utkarsh Ojha, Yijun Li, Jingwan Lu +4
cs.CVcs.GRcs.LGarXiv:2104.06820v12021
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
Nuria Rodríguez-Barroso, Daniel Jiménez López, M. Victoria Luzón +2
cs.CRcs.AIcs.LGarXiv:2201.08135v12022
Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12
Jun Tang, Aleksandra Korolova, Xiaolong Bai +2
cs.CRcs.CYcs.LGarXiv:1709.02753v22017
A Deeper Look at Experience Replay
Shangtong Zhang, Richard S. Sutton
cs.LGcs.AIarXiv:1712.01275v32017
How Many Data Points is a Prompt Worth?
Teven Le Scao, Alexander M. Rush
cs.LGarXiv:2103.08493v22021
Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization
Nicolas Y. Masse, Gregory D. Grant, David J. Freedman
cs.LGcs.AIq-bio.NCarXiv:1802.01569v22018
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback
Yuta Saito, Suguru Yaginuma, Yuta Nishino +2
stat.MLcs.IRcs.LGarXiv:1909.03601v32019
Rethinking Machine Unlearning for Large Language Models
Sijia Liu, Yuanshun Yao, Jinghan Jia +11
cs.LGcs.CLarXiv:2402.08787v62024
A System for General In-Hand Object Re-Orientation
Tao Chen, Jie Xu, Pulkit Agrawal
cs.ROcs.AIcs.LGarXiv:2111.03043v12021
FLAML: A Fast and Lightweight AutoML Library
Chi Wang, Qingyun Wu, Markus Weimer +1
cs.LGstat.MLarXiv:1911.04706v32019
Synthesizing Tabular Data using Generative Adversarial Networks
Lei Xu, Kalyan Veeramachaneni
cs.LGstat.MLarXiv:1811.11264v12018
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning
Charles H. Martin, Michael W. Mahoney
cs.LGstat.MLarXiv:1810.01075v12018
Byzantine Stochastic Gradient Descent
Dan Alistarh, Zeyuan Allen-Zhu, Jerry Li
cs.LGcs.DCcs.DSarXiv:1803.08917v12018
River: machine learning for streaming data in Python
Jacob Montiel, Max Halford, Saulo Martiello Mastelini +8
cs.LGcs.AIcs.MSarXiv:2012.04740v12020
The Blessings of Multiple Causes
Yixin Wang, David M. Blei
stat.MLcs.LGstat.MEarXiv:1805.06826v32018
Supervised Multimodal Bitransformers for Classifying Images and Text
Douwe Kiela, Suvrat Bhooshan, Hamed Firooz +2
cs.CLcs.CVcs.LGarXiv:1909.02950v22019
Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC
Eric Brachmann, Carsten Rother
cs.CVcs.LGarXiv:2002.12324v42020

Machine Learning

Graph Neural Networks for Graphs with Heterophily: A Survey

Learning Affinity via Spatial Propagation Networks

Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes

ManiGAN: Text-Guided Image Manipulation

A Kronecker-factored approximate Fisher matrix for convolution layers

A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning

Disentangling Label Distribution for Long-tailed Visual Recognition

DiffusionNet: Discretization Agnostic Learning on Surfaces

DYNOTEARS: Structure Learning from Time-Series Data

Provably efficient machine learning for quantum many-body problems

Geometry-aware Instance-reweighted Adversarial Training

How do Data Science Workers Collaborate? Roles, Workflows, and Tools

Omnivore: A Single Model for Many Visual Modalities

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs

DLAU: A Scalable Deep Learning Accelerator Unit on FPGA

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction

Federated Evaluation of On-device Personalization

Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning

Fully Connected Deep Structured Networks

HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning

An Overview of Catastrophic AI Risks

Learning Robust Features using Deep Learning for Automatic Seizure Detection

Darts: User-Friendly Modern Machine Learning for Time Series

Deep Self-Learning From Noisy Labels

What's "up" with vision-language models? Investigating their struggle with spatial reasoning

Very Deep Convolutional Networks for Text Classification

Self-Supervised GANs via Auxiliary Rotation Loss

Application of k Means Clustering algorithm for prediction of Students Academic Performance

On the Convergence of Local Descent Methods in Federated Learning

A Joint Model of Language and Perception for Grounded Attribute Learning

Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks

Deep Graph Clustering via Dual Correlation Reduction

Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches

Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning

AUC Maximization in the Era of Big Data and AI: A Survey

Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks

PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments

Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow

Deep Partial Multi-View Learning

Graph Neural Networks for Decentralized Multi-Robot Path Planning

Model-free Deep Reinforcement Learning for Urban Autonomous Driving

A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction

Accelerating Reinforcement Learning with Learned Skill Priors

Few-shot Image Generation via Cross-domain Correspondence

Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges

Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12

A Deeper Look at Experience Replay

How Many Data Points is a Prompt Worth?

Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization

Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback

Rethinking Machine Unlearning for Large Language Models

A System for General In-Hand Object Re-Orientation

FLAML: A Fast and Lightweight AutoML Library

Synthesizing Tabular Data using Generative Adversarial Networks

Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning

Byzantine Stochastic Gradient Descent

River: machine learning for streaming data in Python

The Blessings of Multiple Causes

Supervised Multimodal Bitransformers for Classifying Images and Text

Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC