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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11,461 to 11,520 of 19,954

Generalized Nonconvex Nonsmooth Low-Rank Minimization
Canyi Lu, Jinhui Tang, Shuicheng Yan +1
cs.CVcs.LGstat.MLarXiv:1404.7306v12014
Deliberative Alignment: Reasoning Enables Safer Language Models
Melody Y. Guan, Manas Joglekar, Eric Wallace +12
cs.CLcs.AIcs.CYarXiv:2412.16339v22024
Monash Time Series Forecasting Archive
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb +2
cs.LGstat.MLarXiv:2105.06643v12021
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation
Guanqun Sun, Yizhi Pan, Weikun Kong +5
eess.IVcs.CVcs.GRarXiv:2310.12570v22023
Noise Tolerance under Risk Minimization
Naresh Manwani, P. S. Sastry
cs.LGarXiv:1109.5231v42011
Adversarial Self-Supervised Contrastive Learning
Minseon Kim, Jihoon Tack, Sung Ju Hwang
cs.LGcs.CVstat.MLarXiv:2006.07589v22020
Adversarial Latent Autoencoders
Stanislav Pidhorskyi, Donald Adjeroh, Gianfranco Doretto
cs.LGcs.CVarXiv:2004.04467v12020
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich +3
cs.LGcs.AImath.OCarXiv:1806.07857v32018
A Divergence Minimization Perspective on Imitation Learning Methods
Seyed Kamyar Seyed Ghasemipour, Richard Zemel, Shixiang Gu
cs.LGstat.MLarXiv:1911.02256v12019
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain +2
cs.LGmath.ATarXiv:2202.04579v42022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna, Tessa Han, Alex Gu +3
cs.LGcs.AIarXiv:2202.01602v62022
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
Jize Zhang, Bhavya Kailkhura, T. Yong-Jin Han
cs.LGstat.MLarXiv:2003.07329v22020
The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools
David Camacho, Àngel Panizo-LLedot, Gema Bello-Orgaz +2
cs.SIcs.CYcs.LGarXiv:2002.09485v12020
A Survey on Neural Architecture Search
Martin Wistuba, Ambrish Rawat, Tejaswini Pedapati
cs.LGcs.CVcs.NEarXiv:1905.01392v22019
Sketch-Guided Text-to-Image Diffusion Models
Andrey Voynov, Kfir Aberman, Daniel Cohen-Or
cs.CVcs.GRcs.LGarXiv:2211.13752v12022
Deep Learning for Photoacoustic Tomography from Sparse Data
Stephan Antholzer, Markus Haltmeier, Johannes Schwab
cs.CVcs.LGarXiv:1704.04587v32017
Unsupervised Pretraining for Sequence to Sequence Learning
Prajit Ramachandran, Peter J. Liu, Quoc V. Le
cs.CLcs.LGcs.NEarXiv:1611.02683v22016
Transfer learning for time series classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
cs.LGcs.AIstat.MLarXiv:1811.01533v12018
Stochastic gradient descent for hybrid quantum-classical optimization
Ryan Sweke, Frederik Wilde, Johannes Meyer +4
quant-phcs.LGarXiv:1910.01155v32019
Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond
Levent Sagun, Leon Bottou, Yann LeCun
cs.LGarXiv:1611.07476v22016
Predicting the Computational Cost of Deep Learning Models
Daniel Justus, John Brennan, Stephen Bonner +1
cs.LGcs.AIstat.MLarXiv:1811.11880v12018
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
Milad Nasr, Reza Shokri, Amir Houmansadr
stat.MLcs.CRcs.LGarXiv:1812.00910v22018
Is Local SGD Better than Minibatch SGD?
Blake Woodworth, Kumar Kshitij Patel, Sebastian U. Stich +5
cs.LGmath.OCstat.MLarXiv:2002.07839v22020
Deep Reinforcement Learning and the Deadly Triad
Hado van Hasselt, Yotam Doron, Florian Strub +3
cs.AIcs.LGarXiv:1812.02648v12018
Tensor Graph Convolutional Networks for Text Classification
Xien Liu, Xinxin You, Xiao Zhang +2
cs.CLcs.IRcs.LGarXiv:2001.05313v12020
Invertible Image Rescaling
Mingqing Xiao, Shuxin Zheng, Chang Liu +6
eess.IVcs.CVcs.LGarXiv:2005.05650v12020
TransNets: Learning to Transform for Recommendation
Rose Catherine, William Cohen
cs.IRcs.CLcs.LGarXiv:1704.02298v22017
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
Sergi Abadal, Akshay Jain, Robert Guirado +2
cs.LGcs.DCstat.MLarXiv:2010.00130v32020
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
cs.CLcs.AIcs.LGarXiv:1509.00838v22015
Streaming Graph Neural Networks
Yao Ma, Ziyi Guo, Zhaochun Ren +3
cs.LGstat.MLarXiv:1810.10627v22018
Overcoming Forgetting in Federated Learning on Non-IID Data
Neta Shoham, Tomer Avidor, Aviv Keren +4
cs.LGcs.CRstat.MLarXiv:1910.07796v12019
Forecasting Global Weather with Graph Neural Networks
Ryan Keisler
physics.ao-phcs.LGarXiv:2202.07575v12022
AugGPT: Leveraging ChatGPT for Text Data Augmentation
Haixing Dai, Zhengliang Liu, Wenxiong Liao +15
cs.CLcs.AIcs.LGarXiv:2302.13007v32023
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin, Hao Cheng, Hao Fang +5
cs.CLcs.AIcs.CVarXiv:1505.01809v32015
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
Ilia Igashov, Hannes Stärk, Clément Vignac +5
cs.LGq-bio.BMarXiv:2210.05274v12022
Causality Inspired Representation Learning for Domain Generalization
Fangrui Lv, Jian Liang, Shuang Li +4
cs.LGcs.CVarXiv:2203.14237v12022
Information-Theoretic Probing for Linguistic Structure
Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay +3
cs.CLcs.LGarXiv:2004.03061v22020
Reinforcement and Imitation Learning via Interactive No-Regret Learning
Stephane Ross, J. Andrew Bagnell
cs.LGstat.MLarXiv:1406.5979v12014
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Arsenii Kuznetsov, Pavel Shvechikov, Alexander Grishin +1
cs.LGcs.AIstat.MLarXiv:2005.04269v12020
Model-Free Episodic Control
Charles Blundell, Benigno Uria, Alexander Pritzel +6
stat.MLcs.LGq-bio.NCarXiv:1606.04460v12016
Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective
Yi Zeng, Won Park, Z. Morley Mao +1
cs.LGcs.CRarXiv:2104.03413v42021
Online Clustering of Bandits
Claudio Gentile, Shuai Li, Giovanni Zappella
cs.LGstat.MLarXiv:1401.8257v32014
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced
Simon S. Du, Wei Hu, Jason D. Lee
cs.LGmath.OCstat.MLarXiv:1806.00900v22018
A 3D Generative Model for Structure-Based Drug Design
Shitong Luo, Jiaqi Guan, Jianzhu Ma +1
q-bio.BMcs.LGarXiv:2203.10446v22022
Banach Wasserstein GAN
Jonas Adler, Sebastian Lunz
cs.CVcs.LGmath.FAarXiv:1806.06621v22018
The Hardware Lottery
Sara Hooker
cs.CYcs.AIcs.ARarXiv:2009.06489v22020
Robust Semantic Communications with Masked VQ-VAE Enabled Codebook
Qiyu Hu, Guangyi Zhang, Zhijin Qin +3
eess.SPcs.ITcs.LGarXiv:2206.04011v22022
Does Object Recognition Work for Everyone?
Terrance DeVries, Ishan Misra, Changhan Wang +1
cs.CVcs.LGarXiv:1906.02659v22019
Three Mechanisms of Weight Decay Regularization
Guodong Zhang, Chaoqi Wang, Bowen Xu +1
cs.LGstat.MLarXiv:1810.12281v12018
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
Lean Wang, Lei Li, Damai Dai +5
cs.CLcs.LGarXiv:2305.14160v42023
Rademacher Complexity for Adversarially Robust Generalization
Dong Yin, Kannan Ramchandran, Peter Bartlett
cs.LGcs.CRcs.NEarXiv:1810.11914v42018
Counterfactual Fairness in Text Classification through Robustness
Sahaj Garg, Vincent Perot, Nicole Limtiaco +3
cs.LGstat.MLarXiv:1809.10610v22018
Rectified Flow: A Marginal Preserving Approach to Optimal Transport
Qiang Liu
stat.MLcs.LGarXiv:2209.14577v12022
A Symbolic Approach to Explaining Bayesian Network Classifiers
Andy Shih, Arthur Choi, Adnan Darwiche
cs.AIcs.LGarXiv:1805.03364v12018
Augmentor: An Image Augmentation Library for Machine Learning
Marcus D. Bloice, Christof Stocker, Andreas Holzinger
cs.CVcs.LGstat.MLarXiv:1708.04680v12017
GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation
Chi-Lam Cheang, Guangzeng Chen, Ya Jing +9
cs.ROcs.CVcs.LGarXiv:2410.06158v12024
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk, Amy Zhang, Edward Grefenstette +1
cs.LGcs.AIarXiv:2111.09794v62021
Distributed and parallel time series feature extraction for industrial big data applications
Maximilian Christ, Andreas W. Kempa-Liehr, Michael Feindt
cs.LGarXiv:1610.07717v32016
Feature Inference Attack on Model Predictions in Vertical Federated Learning
Xinjian Luo, Yuncheng Wu, Xiaokui Xiao +1
cs.LGcs.DBarXiv:2010.10152v32020
Episodic Curiosity through Reachability
Nikolay Savinov, Anton Raichuk, Raphaël Marinier +4
cs.LGcs.AIcs.CVarXiv:1810.02274v52018

Machine Learning

Generalized Nonconvex Nonsmooth Low-Rank Minimization

Deliberative Alignment: Reasoning Enables Safer Language Models

Monash Time Series Forecasting Archive

DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation

Noise Tolerance under Risk Minimization

Adversarial Self-Supervised Contrastive Learning

Adversarial Latent Autoencoders

RUDDER: Return Decomposition for Delayed Rewards

A Divergence Minimization Perspective on Imitation Learning Methods

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning

The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools

A Survey on Neural Architecture Search

Sketch-Guided Text-to-Image Diffusion Models

Deep Learning for Photoacoustic Tomography from Sparse Data

Unsupervised Pretraining for Sequence to Sequence Learning

Transfer learning for time series classification

Stochastic gradient descent for hybrid quantum-classical optimization

Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond

Predicting the Computational Cost of Deep Learning Models

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

Is Local SGD Better than Minibatch SGD?

Deep Reinforcement Learning and the Deadly Triad

Tensor Graph Convolutional Networks for Text Classification

Invertible Image Rescaling

TransNets: Learning to Transform for Recommendation

Computing Graph Neural Networks: A Survey from Algorithms to Accelerators

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment

Streaming Graph Neural Networks

Overcoming Forgetting in Federated Learning on Non-IID Data

Forecasting Global Weather with Graph Neural Networks

AugGPT: Leveraging ChatGPT for Text Data Augmentation

Language Models for Image Captioning: The Quirks and What Works

Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design

Causality Inspired Representation Learning for Domain Generalization

Information-Theoretic Probing for Linguistic Structure

Reinforcement and Imitation Learning via Interactive No-Regret Learning

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

Model-Free Episodic Control

Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective

Online Clustering of Bandits

Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced

A 3D Generative Model for Structure-Based Drug Design

Banach Wasserstein GAN

The Hardware Lottery

Robust Semantic Communications with Masked VQ-VAE Enabled Codebook

Does Object Recognition Work for Everyone?

Three Mechanisms of Weight Decay Regularization

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Rademacher Complexity for Adversarially Robust Generalization

Counterfactual Fairness in Text Classification through Robustness

Rectified Flow: A Marginal Preserving Approach to Optimal Transport

A Symbolic Approach to Explaining Bayesian Network Classifiers

Augmentor: An Image Augmentation Library for Machine Learning

GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

Distributed and parallel time series feature extraction for industrial big data applications

Feature Inference Attack on Model Predictions in Vertical Federated Learning

Episodic Curiosity through Reachability