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Asynchrony begets Momentum, with an Application to Deep Learning

31 May 2016

Stefan Hadjis

Papers citing "Asynchrony begets Momentum, with an Application to Deep Learning"

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Title
Addressing GAN Training Instabilities via Tunable Classification Losses Monica Welfert Gowtham R. Kurri Kyle Otstot Lalitha Sankar 67 13 0 27 Oct 2023
Worst-Case Morphs using Wasserstein ALI and Improved MIPGAN Una M. Kelly Meike Nauta Lu Liu Luuk J. Spreeuwers Raymond N. J. Veldhuis 30 1 0 12 Oct 2023
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks Behrad Moniri Donghwan Lee Hamed Hassani Yan Sun MLT 96 23 0 11 Oct 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 118 14 0 08 Oct 2023
Structural Adversarial Objectives for Self-Supervised Representation Learning Xiao Zhang Michael Maire 102 1 0 30 Sep 2023
In-Domain GAN Inversion for Faithful Reconstruction and Editability Jiapeng Zhu Yujun Shen Yinghao Xu Deli Zhao Qifeng Chen Bolei Zhou DiffM 87 6 0 25 Sep 2023
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images Zhiyun Song Penghui Du Junpeng Yan Keqin Li Jianzhong Shou Maode Lai Yubo Fan Yan Xu 95 7 0 14 Sep 2023
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference Songyu Ke Ting Li Li Song Yanping Sun Qintian Sun Junbo Zhang Yu Zheng SSL 101 2 0 06 Sep 2023
A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy Forough Fazeli Asl M. Zhang GAN 54 2 0 27 Aug 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding Jiangmeng Li Hang Gao Jingyao Wang Changwen Zheng 91 2 0 21 Aug 2023
PatchContrast: Self-Supervised Pre-training for 3D Object Detection Oren Shrout Ori Nitzan Yizhak Ben-Shabat A. Tal 3DPC 114 2 0 14 Aug 2023
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN M. A. Bashar R. Nayak AI4TS 53 5 0 13 Aug 2023
Learning beyond sensations: how dreams organize neuronal representations Nicolas Deperrois Mihai A. Petrovici Walter Senn Jakob Jordan SSL CLL 48 7 0 03 Aug 2023
Bag of Policies for Distributional Deep Exploration Asen Nachkov Luchen Li Giulia Luise Filippo Valdettaro Aldo A. Faisal OffRL 75 0 0 03 Aug 2023
Patched Denoising Diffusion Models For High-Resolution Image Synthesis Zheng Ding Mengqi Zhang Jiajun Wu Zhuowen Tu DiffM 89 35 0 02 Aug 2023
Domain Adaptation based on Human Feedback for Enhancing Generative Model Denoising Abilities Hyun-Cheol Park S. Kang DiffM 46 0 0 01 Aug 2023
Image Synthesis under Limited Data: A Survey and Taxonomy Mengping Yang Zhe Wang 91 10 0 31 Jul 2023
Conditioning Generative Latent Optimization for Sparse-View CT Image Reconstruction Thomas Braure Delphine Lazaro David Hateau Vincent Brandon Kévin Ginsburger MedIm 43 0 0 31 Jul 2023
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review Maxime Fontana Michael W. Spratling Miaojing Shi 85 7 0 25 Jul 2023
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis Jiajie Fan L. Vuaille Hongya Wang Thomas Bäck AI4CE 66 6 0 19 Jul 2023
Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction Daniel Haider Martin Ehler Péter Balázs 32 5 0 18 Jul 2023
Diffusion Models Beat GANs on Image Classification Soumik Mukhopadhyay M. Gwilliam Vatsal Agarwal Namitha Padmanabhan A. Swaminathan Srinidhi Hegde Dinesh Manocha Abhinav Shrivastava DiffM 163 48 1 17 Jul 2023
DreamTeacher: Pretraining Image Backbones with Deep Generative Models Daiqing Li Huan Ling Amlan Kar David Acuna Seung Wook Kim Karsten Kreis Antonio Torralba Sanja Fidler VLM DiffM 77 29 0 14 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 96 78 0 10 Jul 2023
Targeted collapse regularized autoencoder for anomaly detection: black hole at the center A. Ghafourian Huanyi Shui Devesh Upadhyay Rajesh K. Gupta Dimitar Filev I. S. Bozchalooi AAML 72 1 0 22 Jun 2023
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process Changyao Tian Chenxin Tao Jifeng Dai Hao Li Ziheng Li Lewei Lu Xiaogang Wang Hongsheng Li Gao Huang Xizhou Zhu DiffM 104 10 0 08 Jun 2023
A Robust Likelihood Model for Novelty Detection Ranya Almohsen Shivang Patel Don Adjeroh Gianfranco Doretto AAML OOD 56 0 0 06 Jun 2023
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization Fei Kong Jinhao Duan Ruipeng Ma Hengtao Shen Xiao-lan Zhu Xiaoshuang Shi Kaidi Xu DiffM 53 34 0 26 May 2023
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training Utku Ozbulak Hyun Jung Lee Beril Boga Esla Timothy Anzaku Ho-min Park Arnout Van Messem W. D. Neve J. Vankerschaver DiffM 107 38 0 23 May 2023
Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset Hui Li C. Peña-Solórzano Susan Wei Davis J. McCarthy 70 0 0 20 May 2023
Prediction with Incomplete Data under Agnostic Mask Distribution Shift Yichen Zhu Jian Yuan Ziwei He Tao R. Lin Haiming Jin Xinbing Wang Cheng Zhou OOD 27 1 0 18 May 2023
A Cookbook of Self-Supervised Learning Randall Balestriero Mark Ibrahim Vlad Sobal Ari S. Morcos Shashank Shekhar ... Pierre Fernandez Amir Bar Hamed Pirsiavash Yann LeCun Micah Goldblum SyDa FedML SSL 152 284 0 24 Apr 2023
Connecting Fairness in Machine Learning with Public Health Equity Shaina Raza 58 5 0 08 Apr 2023
Diffusion Models as Masked Autoencoders Chen Wei K. Mangalam Po-Yao (Bernie) Huang Yanghao Li Haoqi Fan Hu Xu Huiyu Wang Cihang Xie Alan Yuille Christoph Feichtenhofer DiffM SyDa 95 53 0 06 Apr 2023
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning Zhiwen Zuo Lei Zhao Ailin Li Zhizhong Wang Zhanjie Zhang Jiafu Chen Wei Xing Dongming Lu 86 24 0 23 Mar 2023
Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model T. Templin Milad Memarzadeh W. Vinci P. A. Lott A. A. Asanjan Anthony Alexiades Armenakas E. Rieffel DRL 41 5 0 22 Mar 2023
Denoising Diffusion Autoencoders are Unified Self-supervised Learners Weilai Xiang Hongyu Yang Di Huang Yunhong Wang DiffM 125 78 0 17 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 105 554 0 07 Mar 2023
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis? Qingyi Wang Shenhao Wang Yunhan Zheng Hongzhou Lin Xiaohu Zhang Jinhua Zhao Joan Walker 65 13 0 07 Mar 2023
Rethinking the editing of generative adversarial networks: a method to estimate editing vectors based on dimension reduction Yu Cao Haoran Jiang Zhenghong Yu Qi Li Xuyang Li GAN 105 0 0 07 Mar 2023
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption Jack W. Barker Neelanjan Bhowmik Yona Falinie A. Gaus T. Breckon 60 3 0 02 Mar 2023
Evolutionary Augmentation Policy Optimization for Self-supervised Learning Noah Barrett Zahra Sadeghi Stan Matwin 52 3 0 02 Mar 2023
A Comparative Analysis Of Latent Regressor Losses For Singing Voice Conversion Brendan O'Connor S. Dixon 40 0 0 27 Feb 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning Guodong Qi Huimin Yu CML SSL 79 5 0 20 Feb 2023
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images M. R. Siddiquee Jay Shah Teresa Wu C. Chong T. Schwedt Gina M. Dumkrieger S. Nikolova Baoxin Li MedIm 99 11 0 18 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 87 13 0 16 Feb 2023
Generative Adversarial Networks for Malware Detection: a Survey Aeryn Dunmore Ju-Seong Jang Fariza Sabrina Jin Kwak GAN 56 8 0 16 Feb 2023
Weakly Supervised Anomaly Detection: A Survey Minqi Jiang Chaochuan Hou Ao Zheng Xiyang Hu Songqiao Han Hailiang Huang Xiangnan He Philip S. Yu Yue Zhao 118 31 0 09 Feb 2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions G. Pihlgren Konstantina Nikolaidou Prakash Chandra Chhipa Nosheen Abid Rajkumar Saini Fredrik Sandin Marcus Liwicki 95 10 0 08 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 147 11 0 29 Jan 2023