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 / 256 papers shown

Title
Using EBGAN for Anomaly Intrusion Detection Yinxue Cui Wenfeng Shen Jian Zhang Weijia Lu Chuang Liu Lingge Sun Sisi Chen 14 3 0 21 Jun 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning M. Gwilliam Abhinav Shrivastava SSL 74 19 1 16 Jun 2022
Self-Supervised Implicit Attention: Guided Attention by The Model Itself Jinyi Wu Xun Gong Zhemin Zhang 14 1 0 15 Jun 2022
Cascaded Video Generation for Videos In-the-Wild Lluis Castrejon Nicolas Ballas Aaron Courville VGen 29 0 0 01 Jun 2022
Prompt-based Learning for Unpaired Image Captioning Peipei Zhu Xiao Wang Lin Zhu Zhenglong Sun Weishi Zheng Yaowei Wang C. L. P. Chen VLM 21 31 0 26 May 2022
Generative Adversarial Networks for Image Super-Resolution: A Survey Chunwei Tian Xuanyu Zhang Chun-Wei Lin W. Zuo Yanning Zhang Chia-Wen Lin GAN 31 45 0 28 Apr 2022
Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets Masanori Hirano Hiroki Sakaji Kiyoshi Izumi GAN 20 6 0 28 Apr 2022
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs Bowen Tian Qinliang Su Jian Yin 19 18 0 28 Apr 2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning Cheng Zhang Jian Shi X. Deng Zizhao Wu 3DPC 27 8 0 21 Mar 2022
Object discovery and representation networks Olivier J. Hénaff Skanda Koppula Evan Shelhamer Daniel Zoran Andrew Jaegle Andrew Zisserman João Carreira Relja Arandjelović 35 87 0 16 Mar 2022
MetAug: Contrastive Learning via Meta Feature Augmentation Jiangmeng Li Wenwen Qiang Changwen Zheng Bing-Huang Su Hui Xiong 17 23 0 10 Mar 2022
FlexIT: Towards Flexible Semantic Image Translation Guillaume Couairon Asya Grechka Jakob Verbeek Holger Schwenk Matthieu Cord DiffM 31 35 0 09 Mar 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 18 34 0 09 Mar 2022
An Efficient Subpopulation-based Membership Inference Attack Shahbaz Rezaei Xin Liu MIACV 11 5 0 04 Mar 2022
Multimodal Adversarially Learned Inference with Factorized Discriminators Wenxue Chen Jianke Zhu 43 3 0 20 Dec 2021
GAN-Supervised Dense Visual Alignment William S. Peebles Jun-Yan Zhu Richard Y. Zhang Antonio Torralba Alexei A. Efros Eli Shechtman 19 67 0 09 Dec 2021
Distributed Anomaly Detection in Edge Streams using Frequency based Sketch Datastructures Prateek Chanda Malay Bhattacharya 11 1 0 27 Nov 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 26 12 0 26 Nov 2021
Semantic-Aware Generation for Self-Supervised Visual Representation Learning Yunjie Tian Lingxi Xie Xiaopeng Zhang Jiemin Fang Haohang Xu Wei Huang Jianbin Jiao Qi Tian QiXiang Ye SSL GAN 28 16 0 25 Nov 2021
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection Yeonghyeon Park JongHee Jung 19 4 0 22 Nov 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction Xili Dai Shengbang Tong Mingyang Li Ziyang Wu Michael Psenka ... Pengyuan Zhai Yaodong Yu Xiaojun Yuan Harry Shum Yi-An Ma 20 30 0 12 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning Weiran Huang Mingyang Yi Xuyang Zhao Zihao Jiang SSL 21 105 0 01 Nov 2021
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders Ligong Han S. Musunuri Martin Renqiang Min Ruijiang Gao Yu Tian Dimitris N. Metaxas DRL 28 14 0 17 Oct 2021
Adversarial examples by perturbing high-level features in intermediate decoder layers Vojtěch Čermák Lukáš Adam AAML GAN 19 0 0 14 Oct 2021
Vector-quantized Image Modeling with Improved VQGAN Jiahui Yu Xin Li Jing Yu Koh Han Zhang Ruoming Pang James Qin Alexander Ku Yuanzhong Xu Jason Baldridge Yonghui Wu ViT VLM DRL 49 476 0 09 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis Wenlong Ji Zhun Deng Ryumei Nakada James Y. Zou Linjun Zhang SSL 51 48 0 06 Oct 2021
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization Turkay Kart Wenjia Bai Ben Glocker Daniel Rueckert 27 11 0 30 Sep 2021
Audio-to-Image Cross-Modal Generation Maciej Żelaszczyk Jacek Mañdziuk DiffM 46 15 0 27 Sep 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 32 175 0 17 Sep 2021
MRI Reconstruction Using Deep Energy-Based Model Yu Guan Zongjiang Tu Shanshan Wang Qiegen Liu Yuhao Wang Dong Liang DiffM MedIm 29 13 0 07 Sep 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris TTA 25 8 0 26 Aug 2021
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective Riqiang Gao Yucheng Tang Kaiwen Xu Ho Hin Lee S. Deppen K. Sandler P. Massion Thomas A. Lasko Yuankai Huo Bennett A. Landman 27 10 0 25 Jul 2021
FoleyGAN: Visually Guided Generative Adversarial Network-Based Synchronous Sound Generation in Silent Videos Sanchita Ghose John J. Prevost GAN 16 26 0 20 Jul 2021
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning Bianli Du Xiang Gao Wei Hu Xin Li 3DPC SSL 8 81 0 05 Jul 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 17 163 0 29 Jun 2021
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 18 0 0 24 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 19 118 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 33 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 16 34 0 06 Jun 2021
Hierarchical Video Generation for Complex Data Lluis Castrejon Nicolas Ballas Aaron Courville VGen 12 4 0 04 Jun 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data Yonglong Tian Olivier J. Hénaff Aaron van den Oord SSL 51 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 45 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 23 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 15 162 0 19 Mar 2021
Using latent space regression to analyze and leverage compositionality in GANs Lucy Chai Jonas Wulff Phillip Isola GAN 30 75 0 18 Mar 2021
Bangla Handwritten Digit Recognition and Generation Md Fahim Sikder 11 10 0 14 Mar 2021
Pretrained Transformers as Universal Computation Engines Kevin Lu Aditya Grover Pieter Abbeel Igor Mordatch 26 217 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 24 11 0 05 Mar 2021