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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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Learning latent representations across multiple data domains using Lifelong VAEGAN Fei Ye A. Bors SyDa CLL 68 67 0 20 Jul 2020
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation Jue Jiang Harini Veeraraghavan DRL 43 30 0 19 Jul 2020
MIXÉM: Unsupervised Image Classification using a Mixture of Embeddings Ali Varamesh Tinne Tuytelaars VLM 54 4 0 18 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 66 41 0 18 Jul 2020
End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior Pulkit Singh Joshua C. Peterson Ruairidh M. Battleday Thomas Griffiths 51 18 0 17 Jul 2020
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning Shivam Chandhok V. Balasubramanian VLM GAN 30 1 0 15 Jul 2020
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection Hanyuan Zhang Qize Jiang Weiwei Sun 32 41 0 14 Jul 2020
Whitening for Self-Supervised Representation Learning Aleksandr Ermolov Aliaksandr Siarohin E. Sangineto N. Sebe SSL 110 316 0 13 Jul 2020
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding Jinhai Yang Han Yang Lin Chen 53 20 0 11 Jul 2020
Exponential Convergence of Gradient Methods in Concave Network Zero-sum Games Amit Kadan Hu Fu 39 6 0 10 Jul 2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models Adarsh K. Jeewajee L. Kaelbling BDL 52 1 0 09 Jul 2020
Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network Nan Wang Chengwei Chen Yuan Xie Lizhuang Ma MedIm 17 11 0 09 Jul 2020
A Benchmark of Medical Out of Distribution Detection Tianshi Cao Chinwei Huang D. Y. Hui Joseph Paul Cohen OOD 85 59 0 08 Jul 2020
Deep Learning for Anomaly Detection: A Review Guansong Pang Chunhua Shen LongBing Cao Anton Van Den Hengel 200 949 0 06 Jul 2020
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference Andac Demir T. Koike-Akino Ye Wang Deniz Erdogmus 19 0 0 02 Jul 2020
A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks H. H. Mao BDL SSL 72 50 0 01 Jul 2020
Unsupervised Learning of Video Representations via Dense Trajectory Clustering P. Tokmakov M. Hebert Cordelia Schmid SSL 59 22 0 28 Jun 2020
When and How Can Deep Generative Models be Inverted? Aviad Aberdam Dror Simon Michael Elad 94 13 0 28 Jun 2020
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data Danfeng Hong Naoto Yokoya Gui-Song Xia J. Chanussot X. Zhu 32 55 0 24 Jun 2020
Unsupervised Image Classification for Deep Representation Learning Weijie Chen Shiliang Pu Di Xie Shicai Yang Yilu Guo Luojun Lin SSL VLM 73 14 0 20 Jun 2020
Learning to infer in recurrent biological networks Ari S. Benjamin Konrad Paul Kording SSL DRL 50 1 0 18 Jun 2020
Set Distribution Networks: a Generative Model for Sets of Images Shuangfei Zhai Walter A. Talbott Miguel Angel Bautista Carlos Guestrin J. Susskind GAN 56 2 0 18 Jun 2020
Online Deep Clustering for Unsupervised Representation Learning Xiaohang Zhan Jiahao Xie Ziwei Liu Yew-Soon Ong Chen Change Loy OOD 107 187 0 18 Jun 2020
Learning High-Resolution Domain-Specific Representations with a GAN Generator Danil Galeev Konstantin Sofiiuk D. Rukhovich Mikhail Romanov O. Barinova Anton Konushin GAN 77 15 0 18 Jun 2020
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models Siavash Khodadadeh Sharare Zehtabian Saeed Vahidian Weijia Wang Bill Lin Ladislau Bölöni 51 36 0 18 Jun 2020
Adversarial Defense by Latent Style Transformations Shuo Wang Surya Nepal A. Abuadbba Carsten Rudolph M. Grobler AAML 34 11 0 17 Jun 2020
Globally Injective ReLU Networks Michael Puthawala K. Kothari Matti Lassas Ivan Dokmanić Maarten V. de Hoop 103 28 0 15 Jun 2020
Reciprocal Adversarial Learning via Characteristic Functions Shengxi Li Zeyang Yu Min Xiang Danilo P. Mandic GAN 136 13 0 15 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 199 1,643 0 15 Jun 2020
Generalized Adversarially Learned Inference Yatin Dandi Homanga Bharadhwaj Abhishek Kumar Piyush Rai GAN 61 7 0 15 Jun 2020
Disentanglement for Discriminative Visual Recognition Xiaofeng Liu DRL 92 6 0 14 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 459 6,864 0 13 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 110 243 0 11 Jun 2020
On Data Augmentation for GAN Training Ngoc-Trung Tran Viet-Hung Tran Ngoc-Bao Nguyen Trung-Kien Nguyen Ngai-Man Cheung MedIm 51 38 0 09 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 131 303 0 09 Jun 2020
Unsupervised Transfer Learning with Self-Supervised Remedy Jiabo Huang S. Gong SSL 100 2 0 08 Jun 2020
Anomaly Detection with Tensor Networks Jinhui Wang Chase Roberts G. Vidal Stefan Leichenauer 93 41 0 03 Jun 2020
Nested Scale Editing for Conditional Image Synthesis Lingzhi Zhang Jiancong Wang Yinshuang Xu Jie Min Tarmily Wen J. Gee Jianbo Shi DiffM 72 3 0 03 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder Kazi Nazmul Haque R. Rana Björn W Schuller DRL 100 12 0 01 Jun 2020
Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments Pegah Salehi A. Chalechale M. Taghizadeh EGVM 45 40 0 27 May 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool VLM SSL 115 540 0 25 May 2020
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs Yujun Shen Ceyuan Yang Xiaoou Tang Bolei Zhou GAN CVBM 112 600 0 18 May 2020
Deep Learning for Wireless Communications T. Erpek Tim O'Shea Y. Sagduyu Yi Shi T. Clancy 92 138 0 12 May 2020
Partly Supervised Multitask Learning A. Imran Chao Huang Hui Tang Wei Fan Yuan Xiao Dingjun Hao Zhen Qian D. Terzopoulos 29 12 0 05 May 2020
Effect of The Latent Structure on Clustering with GANs Deepak Mishra Aravind Jayendran Prathosh A. P. GAN 14 9 0 05 May 2020
Transforming and Projecting Images into Class-conditional Generative Networks Minyoung Huh Richard Y. Zhang Jun-Yan Zhu S. Paris Aaron Hertzmann 74 111 0 04 May 2020
Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark Oliver Knapp Guenther Dissertori O. Cerri Thong Q. Nguyen J. Vlimant M. Pierini 59 67 0 04 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 156 305 0 30 Apr 2020
Generative Adversarial Data Programming Arghya Pal V. Balasubramanian VLM GAN 16 5 0 30 Apr 2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning Timo Milbich Karsten Roth Homanga Bharadhwaj Samarth Sinha Yoshua Bengio Bjorn Ommer Joseph Paul Cohen 130 67 0 28 Apr 2020