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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13,741 to 13,800 of 20,199

Privacy Without Regret: Differentially Private Inference-Time Alignment
Ishi Jain, Nandini Bhattad, Sayak Ray Chowdhury
cs.LGarXiv:2608.26324v12026
A Cookbook of Self-Supervised Learning
Randall Balestriero, Mark Ibrahim, Vlad Sobal +16
cs.LGcs.CVarXiv:2304.12210v22023
Explain Images with Multimodal Recurrent Neural Networks
Junhua Mao, Wei Xu, Yi Yang +2
cs.CVcs.CLcs.LGarXiv:1410.1090v12014
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
Aravind Rajeswaran, Sarvjeet Ghotra, Balaraman Ravindran +1
cs.LGcs.AIcs.ROarXiv:1610.01283v42016
Understanding Attention and Generalization in Graph Neural Networks
Boris Knyazev, Graham W. Taylor, Mohamed R. Amer
cs.LGcs.AIstat.MLarXiv:1905.02850v32019
TensorFlow Distributions
Joshua V. Dillon, Ian Langmore, Dustin Tran +7
cs.LGcs.AIcs.PLarXiv:1711.10604v12017
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang, Marinka Zitnik
cs.LGstat.MLarXiv:2006.08149v32020
Whitening for Self-Supervised Representation Learning
Aleksandr Ermolov, Aliaksandr Siarohin, Enver Sangineto +1
cs.LGcs.CVstat.MLarXiv:2007.06346v52020
Improving zero-shot learning by mitigating the hubness problem
Georgiana Dinu, Angeliki Lazaridou, Marco Baroni
cs.CLcs.LGarXiv:1412.6568v32014
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
cs.LGcs.CVarXiv:2011.10650v22020
Levenshtein Transformer
Jiatao Gu, Changhan Wang, Jake Zhao
cs.CLcs.LGarXiv:1905.11006v22019
Global optimization of dielectric metasurfaces using a physics-driven neural network
Jiaqi Jiang, Jonathan A. Fan
cs.LGphysics.comp-phphysics.opticsarXiv:1906.04157v22019
Federated Multi-Task Learning under a Mixture of Distributions
Othmane Marfoq, Giovanni Neglia, Aurélien Bellet +2
cs.LGcs.AImath.OCarXiv:2108.10252v42021
Shared Actors Need Not Share Critics: Effects of Value Mismatch in Parallel Reinforcement Learning
Zhenya Liu, Yang Meng, Zhuokai Zhao +2
cs.LGarXiv:2608.26481v12026
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification
Michael P. Kim, Amirata Ghorbani, James Zou
cs.LGstat.MLarXiv:1805.12317v22018
Perception Prioritized Training of Diffusion Models
Jooyoung Choi, Jungbeom Lee, Chaehun Shin +3
cs.CVcs.LGarXiv:2204.00227v12022
Sparse Sinkhorn Attention
Yi Tay, Dara Bahri, Liu Yang +2
cs.LGcs.CLarXiv:2002.11296v12020
AI and Memory Wall
Amir Gholami, Zhewei Yao, Sehoon Kim +3
cs.LGcs.ARcs.DCarXiv:2403.14123v12024
Diffusion Self-Guidance for Controllable Image Generation
Dave Epstein, Allan Jabri, Ben Poole +2
cs.CVcs.LGstat.MLarXiv:2306.00986v32023
A Statistical Perspective on Algorithmic Leveraging
Ping Ma, Michael W. Mahoney, Bin Yu
stat.MEcs.LGstat.MLarXiv:1306.5362v12013
Fast Patch-based Style Transfer of Arbitrary Style
Tian Qi Chen, Mark Schmidt
cs.CVcs.GRcs.LGarXiv:1612.04337v12016
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
Xinyue Chen, Che Wang, Zijian Zhou +1
cs.LGcs.AIarXiv:2101.05982v22021
Speech Enhancement and Dereverberation with Diffusion-based Generative Models
Julius Richter, Simon Welker, Jean-Marie Lemercier +2
eess.AScs.LGcs.SDarXiv:2208.05830v32022
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia +5
cs.LGstat.MLarXiv:1905.13294v32019
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
cs.CVcs.LGarXiv:1811.09030v22018
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
Izzeddin Gur, Hiroki Furuta, Austin Huang +4
cs.LGcs.AIcs.CLarXiv:2307.12856v42023
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
Kai Shen, Zeqian Ju, Xu Tan +6
eess.AScs.AIcs.CLarXiv:2304.09116v32023
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016
Dongrui Wu, Yifan Xu, Bao-Liang Lu
cs.HCcs.LGeess.SParXiv:2004.06286v42020
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics
Christoph Wehmeyer, Frank Noé
stat.MLcs.LGphysics.bio-pharXiv:1710.11239v12017
Prompt Sensitivity of Generative Agents: Evidence from an Epidemic Model
Ross Williams, Niyousha Hosseinichimeh
physics.soc-phcs.AIcs.LGarXiv:2608.26221v12026
Universal Source-Free Domain Adaptation
Jogendra Nath Kundu, Naveen Venkat, Rahul M +1
cs.CVcs.LGarXiv:2004.04393v12020
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
Biraja Ghoshal, Allan Tucker
eess.IVcs.CVcs.LGarXiv:2003.10769v22020
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation
Canh T. Dinh, Nguyen H. Tran, Minh N. H. Nguyen +4
cs.LGcs.DCcs.NIarXiv:1910.13067v42019
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling
Hakan Inan, Khashayar Khosravi, Richard Socher
cs.LGcs.CLstat.MLarXiv:1611.01462v32016
Malicious URL Detection using Machine Learning: A Survey
Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi
cs.LGcs.CRarXiv:1701.07179v32017
Blockwise Parallel Decoding for Deep Autoregressive Models
Mitchell Stern, Noam Shazeer, Jakob Uszkoreit
cs.LGcs.CLstat.MLarXiv:1811.03115v12018
Analogical Inference for Multi-Relational Embeddings
Hanxiao Liu, Yuexin Wu, Yiming Yang
cs.LGcs.AIcs.CLarXiv:1705.02426v22017
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy +7
cs.LGcs.AIcs.CLarXiv:2408.05147v22024
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen, Colin Wei, Adrien Gaidon +1
cs.LGstat.MLarXiv:2106.04156v72021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
Matthew J. Vowels, Necati Cihan Camgoz, Richard Bowden
cs.LGstat.MEstat.MLarXiv:2103.02582v22021
Towards Understanding Knowledge Distillation
Mary Phuong, Christoph H. Lampert
cs.LGstat.MLarXiv:2105.13093v12021
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Michael A. Hedderich, Lukas Lange, Heike Adel +2
cs.CLcs.LGarXiv:2010.12309v32020
Explanations can be manipulated and geometry is to blame
Ann-Kathrin Dombrowski, Maximilian Alber, Christopher J. Anders +3
stat.MLcs.CRcs.LGarXiv:1906.07983v22019
A Unified Framework for Fair and Personalized Decentralized Learning under Communication Constraints
Krishnendu S. Tharakan, Carlo Fischione
cs.LGarXiv:2608.26493v12026
Recurrence is required to capture the representational dynamics of the human visual system
Tim C Kietzmann, Courtney J Spoerer, Lynn Sörensen +3
q-bio.NCcs.CVcs.LGarXiv:1903.05946v22019
When Interference Graphs Evolve: Doubly Robust Estimation of Dynamic Peer Effects
Xiaojing Du
cs.LGcs.SIarXiv:2608.27187v12026
Dynamical phase selection controls compute scaling in looped transformers
Gunn Kim
cond-mat.dis-nncond-mat.stat-mechcs.LGarXiv:2608.26556v12026
Spectral Representations for Convolutional Neural Networks
Oren Rippel, Jasper Snoek, Ryan P. Adams
stat.MLcs.LGarXiv:1506.03767v12015
Neural Renormalization Group Flow for Percolation
Anaclara Alvez, Luca Camagna, Sergio Chibbaro +4
cond-mat.dis-nncs.LGarXiv:2608.26764v12026
Speech Model Pre-training for End-to-End Spoken Language Understanding
Loren Lugosch, Mirco Ravanelli, Patrick Ignoto +2
eess.AScs.CLcs.LGarXiv:1904.03670v22019
Chart2SVG: Editable SVG Generation from Raster Chart Images
Jinning Cui, Lu Chen, Haoyan Shi +5
cs.LGarXiv:2608.26544v12026
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai +3
cs.CVcs.LGarXiv:1611.05377v12016
Neural Episodic Control
Alexander Pritzel, Benigno Uria, Sriram Srinivasan +5
cs.LGstat.MLarXiv:1703.01988v12017
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis
Yifei Shen, Yuanming Shi, Jun Zhang +1
cs.ITcs.LGeess.SParXiv:2007.07632v22020
Knowledge distillation: A good teacher is patient and consistent
Lucas Beyer, Xiaohua Zhai, Amélie Royer +3
cs.CVcs.AIcs.LGarXiv:2106.05237v22021
Unsupervised Learning of 3D Structure from Images
Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed +3
cs.CVcs.LGstat.MLarXiv:1607.00662v22016
Measuring abstract reasoning in neural networks
David G. T. Barrett, Felix Hill, Adam Santoro +2
cs.LGstat.MLarXiv:1807.04225v12018
Transformer Hawkes Process
Simiao Zuo, Haoming Jiang, Zichong Li +2
cs.LGstat.MLarXiv:2002.09291v52020
The Debate Over Understanding in AI's Large Language Models
Melanie Mitchell, David C. Krakauer
cs.LGcs.AIarXiv:2210.13966v32022
Molecular generative model based on conditional variational autoencoder for de novo molecular design
Jaechang Lim, Seongok Ryu, Jin Woo Kim +1
cs.LGstat.MLarXiv:1806.05805v12018

Machine Learning

Privacy Without Regret: Differentially Private Inference-Time Alignment

A Cookbook of Self-Supervised Learning

Explain Images with Multimodal Recurrent Neural Networks

EPOpt: Learning Robust Neural Network Policies Using Model Ensembles

Understanding Attention and Generalization in Graph Neural Networks

TensorFlow Distributions

GNNGuard: Defending Graph Neural Networks against Adversarial Attacks

Whitening for Self-Supervised Representation Learning

Improving zero-shot learning by mitigating the hubness problem

Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images

Levenshtein Transformer

Global optimization of dielectric metasurfaces using a physics-driven neural network

Federated Multi-Task Learning under a Mixture of Distributions

Shared Actors Need Not Share Critics: Effects of Value Mismatch in Parallel Reinforcement Learning

Multiaccuracy: Black-Box Post-Processing for Fairness in Classification

Perception Prioritized Training of Diffusion Models

Sparse Sinkhorn Attention

AI and Memory Wall

Diffusion Self-Guidance for Controllable Image Generation

A Statistical Perspective on Algorithmic Leveraging

Fast Patch-based Style Transfer of Arbitrary Style

Randomized Ensembled Double Q-Learning: Learning Fast Without a Model

Speech Enhancement and Dereverberation with Diffusion-based Generative Models

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends

Data Augmentation using Random Image Cropping and Patching for Deep CNNs

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016

Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics

Prompt Sensitivity of Generative Agents: Evidence from an Epidemic Model

Universal Source-Free Domain Adaptation

Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection

Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation

Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling

Malicious URL Detection using Machine Learning: A Survey

Blockwise Parallel Decoding for Deep Autoregressive Models

Analogical Inference for Multi-Relational Embeddings

Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss

D'ya like DAGs? A Survey on Structure Learning and Causal Discovery

Towards Understanding Knowledge Distillation

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

Explanations can be manipulated and geometry is to blame

A Unified Framework for Fair and Personalized Decentralized Learning under Communication Constraints

Recurrence is required to capture the representational dynamics of the human visual system

When Interference Graphs Evolve: Doubly Robust Estimation of Dynamic Peer Effects

Dynamical phase selection controls compute scaling in looped transformers

Spectral Representations for Convolutional Neural Networks

Neural Renormalization Group Flow for Percolation

Speech Model Pre-training for End-to-End Spoken Language Understanding

Chart2SVG: Editable SVG Generation from Raster Chart Images

Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

Neural Episodic Control

Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis

Knowledge distillation: A good teacher is patient and consistent

Unsupervised Learning of 3D Structure from Images

Measuring abstract reasoning in neural networks

Transformer Hawkes Process

The Debate Over Understanding in AI's Large Language Models

Molecular generative model based on conditional variational autoencoder for de novo molecular design