Learning Discrete Representations via Information Maximizing Self-Augmented Training

28 February 2017

Papers citing "Learning Discrete Representations via Information Maximizing Self-Augmented Training"

21 / 21 papers shown

Title
Deep clustering using adversarial net based clustering loss Kart-Leong Lim 109 0 0 12 Dec 2024
Variational Positive-incentive Noise: How Noise Benefits Models Hongyuan Zhang Si-Ying Huang Yubin Guo Xuelong Li 63 9 0 13 Jun 2023
Labelling unlabelled videos from scratch with multi-modal self-supervision Yuki M. Asano Mandela Patrick Christian Rupprecht Andrea Vedaldi SSL 59 152 0 24 Jun 2020
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering Zhuxi Jiang Yin Zheng Huachun Tan Bangsheng Tang Hanning Zhou BDL DRL 64 730 0 16 Nov 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders Nat Dilokthanakul P. Mediano M. Garnelo M. J. Lee Hugh Salimbeni Kai Arulkumaran Murray Shanahan DRL 57 656 0 08 Nov 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Tasdizen BDL 77 1,112 0 14 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.8K 193,426 0 10 Dec 2015
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks Jost Tobias Springenberg GAN 79 745 0 19 Nov 2015
Unsupervised Deep Embedding for Clustering Analysis Junyuan Xie Ross B. Girshick Ali Farhadi SSL 79 2,865 0 19 Nov 2015
Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li Sheng Wang Wang-Cheng Kang 63 657 0 12 Nov 2015
Learning to Hash for Indexing Big Data - A Survey Jun Wang Wen Liu Sanjiv Kumar Shih-Fu Chang 61 512 0 17 Sep 2015
Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification Ruimao Zhang Liang Lin Rui Zhang W. Zuo Lei Zhang 55 480 0 19 Aug 2015
Distributional Smoothing with Virtual Adversarial Training Takeru Miyato S. Maeda Masanori Koyama Ken Nakae S. Ishii 89 458 0 02 Jul 2015
Simultaneous Feature Learning and Hash Coding with Deep Neural Networks Hanjiang Lai Yan Pan Ye Liu Shuicheng Yan 44 823 0 14 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 407 43,234 0 11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 270 18,587 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.3K 149,842 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 225 19,017 0 20 Dec 2014
Learning with Pseudo-Ensembles Philip Bachman O. Alsharif Doina Precup 70 598 0 16 Dec 2014
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox OOD SSL 82 1,017 0 26 Jun 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 416 7,658 0 03 Jul 2012