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"

50 / 310 papers shown

Title
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 19 163 0 29 Jun 2021
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 26 0 0 24 Jun 2021
Feature Alignment as a Generative Process T. S. Farias Jonas Maziero DiffM BDL 18 1 0 23 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 30 118 0 12 Jun 2021
Large-scale Unsupervised Semantic Segmentation Shangqi Gao Zhong-Yu Li Ming-Hsuan Yang Mingg-Ming Cheng Junwei Han Philip H. S. Torr UQCV 38 84 0 06 Jun 2021
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition C. Bai Hsuan-Tien Lin Colin Raffel Wendy Kan 18 34 0 06 Jun 2021
Hierarchical Video Generation for Complex Data Lluis Castrejon Nicolas Ballas Aaron Courville VGen 22 4 0 04 Jun 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data Yonglong Tian Olivier J. Hénaff Aaron van den Oord SSL 64 96 0 17 May 2021
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation Hojjat Navidan P. Moshiri M. Nabati Reza Shahbazian S. Ghorashi V. Shah-Mansouri David Windridge 13 83 0 10 May 2021
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning Zhi Chen Jiang Duan Li Kang Guoping Qiu AI4CE 47 31 0 24 Apr 2021
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification A. Perakis A. Gorji Samriddhi Jain K. Chaitanya Simone Rizza E. Konukoglu SSL 21 33 0 30 Mar 2021
Contrasting Contrastive Self-Supervised Representation Learning Pipelines Klemen Kotar Gabriel Ilharco Ludwig Schmidt Kiana Ehsani Roozbeh Mottaghi SSL 33 45 0 25 Mar 2021
Efficient Visual Pretraining with Contrastive Detection Olivier J. Hénaff Skanda Koppula Jean-Baptiste Alayrac Aaron van den Oord Oriol Vinyals João Carreira VLM SSL 38 162 0 19 Mar 2021
Using latent space regression to analyze and leverage compositionality in GANs Lucy Chai Jonas Wulff Phillip Isola GAN 40 75 0 18 Mar 2021
Bangla Handwritten Digit Recognition and Generation Md Fahim Sikder 19 10 0 14 Mar 2021
Pretrained Transformers as Universal Computation Engines Kevin Lu Aditya Grover Pieter Abbeel Igor Mordatch 28 217 0 09 Mar 2021
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis Jiaye Teng Weiran Huang Haowei He SSL 29 11 0 05 Mar 2021
Fast Adaptation with Linearized Neural Networks Wesley J. Maddox Shuai Tang Pablo G. Moreno A. Wilson Andreas C. Damianou 32 32 0 02 Mar 2021
Generative Adversarial Transformers Drew A. Hudson C. L. Zitnick ViT 25 179 0 01 Mar 2021
Self-supervised driven consistency training for annotation efficient histopathology image analysis C. Srinidhi Seung Wook Kim Fu-Der Chen Anne L. Martel SSL 21 109 0 07 Feb 2021
Adversarial Text-to-Image Synthesis: A Review Stanislav Frolov Tobias Hinz Federico Raue Jörn Hees Andreas Dengel EGVM 22 175 0 25 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 126 268 0 07 Jan 2021
AVAE: Adversarial Variational Auto Encoder Antoine Plumerault Hervé Le Borgne C´eline Hudelot GAN DRL 29 15 0 21 Dec 2020
Robustness of Facial Recognition to GAN-based Face-morphing Attacks Richard T. Marriott S. Romdhani S. Gentric Liming Luke Chen AAML CVBM 21 3 0 18 Dec 2020
Artificial Dummies for Urban Dataset Augmentation Antonín Vobecký David Hurych Michal Uřičář P. Pérez Josef Sivic 3DH 21 15 0 15 Dec 2020
Information-Theoretic Segmentation by Inpainting Error Maximization Pedro H. P. Savarese Sunnie S. Y. Kim Michael Maire G. Shakhnarovich David A. McAllester 29 29 0 14 Dec 2020
Conditional Generation of Medical Images via Disentangled Adversarial Inference Mohammad Havaei Ximeng Mao Yiping Wang Qicheng Lao GAN MedIm 26 20 0 08 Dec 2020
Spectral Distribution Aware Image Generation Steffen Jung M. Keuper OOD 26 34 0 05 Dec 2020
Creative Sketch Generation Songwei Ge Vedanuj Goswami C. L. Zitnick Devi Parikh 34 78 0 19 Nov 2020
Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation Gyutaek Oh J. Lee J. C. Ye 26 11 0 12 Nov 2020
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization Foivos Ntelemis Yaochu Jin S. Thomas GAN 28 13 0 08 Nov 2020
Out-of-Distribution Detection for Automotive Perception Julia Nitsch Masha Itkina Ransalu Senanayake Juan I. Nieto M. Schmidt Roland Siegwart Mykel J. Kochenderfer Cesar Cadena UQCV 10 63 0 03 Nov 2020
A Survey on Contrastive Self-supervised Learning Ashish Jaiswal Ashwin Ramesh Babu Mohammad Zaki Zadeh Debapriya Banerjee F. Makedon SSL 25 1,359 0 31 Oct 2020
CLAR: Contrastive Learning of Auditory Representations Haider Al-Tahan Y. Mohsenzadeh SSL 118 56 0 19 Oct 2020
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series G. González P. Casas Alicia Fernández G. Gómez 19 17 0 16 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 28 64 0 14 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning Chen Wei Huiyu Wang Wei Shen Alan Yuille SSL 36 62 0 05 Oct 2020
EvolGAN: Evolutionary Generative Adversarial Networks Baptiste Roziere F. Teytaud Vlad Hosu Hanhe Lin Jérémy Rapin M. Zameshina O. Teytaud GAN 23 14 0 28 Sep 2020
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue Pirazh Khorramshahi Hossein Souri Ramalingam Chellappa S. Feizi GAN DRL 30 4 0 24 Sep 2020
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks Alexander Geiger Dongyu Liu Sarah Alnegheimish Alfredo Cuesta-Infante K. Veeramachaneni AI4TS 20 204 0 16 Sep 2020
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks M. A. Bashar R. Nayak GAN AI4TS 12 102 0 21 Aug 2020
Uncertainty-aware Self-supervised 3D Data Association Jianren Wang Siddharth Ancha Yi-Ting Chen David Held 3DPC 20 12 0 18 Aug 2020
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization Zhiwen Zuo Lei Zhao Zhizhong Wang Haibo Chen Ailin Li Qijiang Xu Wei Xing Dongming Lu GAN 42 0 0 08 Aug 2020
Geometrically Enriched Latent Spaces Georgios Arvanitidis Søren Hauberg Bernhard Schölkopf DRL 17 51 0 02 Aug 2020
Representation Learning with Video Deep InfoMax R. Devon Hjelm Philip Bachman SSL MDE 26 28 0 27 Jul 2020
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion Chang Shu Kun Yu Zhixiang Duan Kuiyuan Yang SSL MDE 28 229 0 21 Jul 2020
PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation Jue Jiang Yu-chi Hu N. Tyagi A. Rimner N. Lee Joseph O. Deasy S. Berry Harini Veeraraghavan OOD MedIm 16 40 0 18 Jul 2020
When and How Can Deep Generative Models be Inverted? Aviad Aberdam Dror Simon Michael Elad 21 13 0 28 Jun 2020
Online Deep Clustering for Unsupervised Representation Learning Xiaohang Zhan Jiahao Xie Ziwei Liu Yew-Soon Ong Chen Change Loy OOD 46 184 0 18 Jun 2020
Globally Injective ReLU Networks Michael Puthawala K. Kothari Matti Lassas Ivan Dokmanić Maarten V. de Hoop 24 26 0 15 Jun 2020