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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
Distributed Anomaly Detection in Edge Streams using Frequency based Sketch Datastructures Prateek Chanda Malay Bhattacharya 46 1 0 27 Nov 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 100 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 69 16 0 25 Nov 2021
Learning Representation for Clustering via Prototype Scattering and Positive Sampling Zhizhong Huang Jie Chen Junping Zhang Hongming Shan 80 97 0 23 Nov 2021
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection Yeonghyeon Park JongHee Jung 94 4 0 22 Nov 2021
Boosting Supervised Learning Performance with Co-training Xinnan Du William Zhang J. Álvarez SSL 25 0 0 18 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 104 30 0 12 Nov 2021
EditGAN: High-Precision Semantic Image Editing Huan Ling Karsten Kreis Daiqing Li Seung Wook Kim Antonio Torralba Sanja Fidler DiffM GAN 56 203 0 04 Nov 2021
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning Xiaoyang Guo Tianhao Zhao Yutian Lin Bo Du SSL 56 6 0 04 Nov 2021
Recent Advancements in Self-Supervised Paradigms for Visual Feature Representation Mrinal Anand Aditya Garg SSL 44 2 0 03 Nov 2021
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods M. Baradaran R. Bergevin 84 17 0 02 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning Weiran Huang Mingyang Yi Xuyang Zhao Zihao Jiang SSL 98 115 0 01 Nov 2021
Self-supervised EEG Representation Learning for Automatic Sleep Staging Chaoqi Yang MSc Cao Xiao PhD M Brandon Westover PhD Jimeng Sun SSL 109 24 0 27 Oct 2021
Non-Asymptotic Error Bounds for Bidirectional GANs Shiao Liu Yunfei Yang Jian Huang Yuling Jiao Yang Wang 55 7 0 24 Oct 2021
Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review Mikael Sabuhi Ming Zhou Cor-Paul Bezemer Petr Musílek AI4TS MedIm 81 34 0 22 Oct 2021
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE Devansh Arpit Aadyot Bhatnagar Huan Wang Caiming Xiong 40 0 0 19 Oct 2021
Continuation of Famous Art with AI: A Conditional Adversarial Network Inpainting Approach Jordan J. Bird GAN 33 0 0 18 Oct 2021
Illiterate DALL-E Learns to Compose Gautam Singh Fei Deng Sungjin Ahn CoGe OCL 117 139 0 17 Oct 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 64 14 0 17 Oct 2021
Adversarial examples by perturbing high-level features in intermediate decoder layers Vojtěch Čermák Lukáš Adam AAML GAN 37 0 0 14 Oct 2021
Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework Lu Mi Tianxing He Core Francisco Park Hao Wang Yue Wang Nir Shavit 91 10 0 13 Oct 2021
Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables Alireza Abedin Hamid Rezatofighi Damith C. Ranasinghe GAN 60 5 0 12 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 165 527 0 09 Oct 2021
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL Benjamin Eysenbach Alexander Khazatsky Sergey Levine Ruslan Salakhutdinov OffRL 257 46 0 06 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis Wenlong Ji Zhun Deng Ryumei Nakada James Zou Linjun Zhang SSL 132 53 0 06 Oct 2021
Networked Time Series Prediction with Incomplete Data via Generative Adversarial Network Yichen Zhu Bo Jiang Haiming Jin Mengtian Zhang Feng Gao Jianqiang Huang Tao Lin Xinbing Wang GNN AI4TS 85 5 0 05 Oct 2021
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization Turkay Kart Wenjia Bai Ben Glocker Daniel Rueckert 81 11 0 30 Sep 2021
CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation Tianlin Li Jingen Liu Tao Mei Jiebo Luo 29 7 0 30 Sep 2021
IGAN: Inferent and Generative Adversarial Networks L. Vignaud GAN 44 1 0 27 Sep 2021
Audio-to-Image Cross-Modal Generation Maciej Żelaszczyk Jacek Mańdziuk DiffM 118 17 0 27 Sep 2021
Visual Anomaly Detection for Images: A Survey Jie Yang Rui Xu Zhiquan Qi Yong Shi 70 37 0 27 Sep 2021
DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing Bingchuan Li Shaofei Cai Wei Liu Peng Zhang Qian He Miao Hua Zili Yi 102 12 0 22 Sep 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 128 187 0 17 Sep 2021
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data Jun Chen Heye Zhang R. Mohiaddin Tom Wong D. Firmin J. Keegan Guang Yang 91 37 0 17 Sep 2021
New Perspective on Progressive GANs Distillation for One-class Novelty Detection Zhiwei Zhang Yu Dong Hanyu Peng Shifeng Chen 64 0 0 15 Sep 2021
Inferential Wasserstein Generative Adversarial Networks Yao Chen Qingyi Gao Xiao Wang GAN 182 23 0 13 Sep 2021
Learning cortical representations through perturbed and adversarial dreaming Nicolas Deperrois Mihai A. Petrovici Walter Senn Jakob Jordan GAN CLL 91 21 0 09 Sep 2021
MRI Reconstruction Using Deep Energy-Based Model Yu Guan Zongjiang Tu Shanshan Wang Qiegen Liu Yuhao Wang Dong Liang DiffM MedIm 84 14 0 07 Sep 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 188 72 0 26 Aug 2021
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 74 6 0 26 Aug 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris TTA 75 9 0 26 Aug 2021
Diverse Similarity Encoder for Deep GAN Inversion Cheng Yu Wenmin Wang DRL 35 2 0 23 Aug 2021
Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders Jing Li Di Kang Wenjie Pei Xuefei Zhe Ying Zhang Zhenyu He Linchao Bao SLR 94 106 0 15 Aug 2021
Instance Similarity Learning for Unsupervised Feature Representation Ziwei Wang Yunsong Wang Ziyi Wu Jiwen Lu Jie Zhou GAN 54 8 0 05 Aug 2021
Margin-Aware Intra-Class Novelty Identification for Medical Images Xiaoyuan Guo J. Gichoya S. Purkayastha Imon Banerjee 58 5 0 31 Jul 2021
Self-Supervised Learning for Fine-Grained Image Classification Farha Al Breiki Muhammad Ridzuan Rushali Grandhe SSL 79 6 0 29 Jul 2021
Discriminative-Generative Representation Learning for One-Class Anomaly Detection X. Xia Xizhou Pan Xing He Jingfei Zhang Ning Ding Lin Ma 64 4 0 27 Jul 2021
Belief Propagation as Diffusion Yael Fregier 54 12 0 26 Jul 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 79 10 0 25 Jul 2021
Tail of Distribution GAN (TailGAN): Generative-Adversarial-Network-Based Boundary Formation Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris GAN 67 14 0 24 Jul 2021