Learning Discrete Representations via Information Maximizing Self-Augmented Training

28 February 2017

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

20 / 70 papers shown

Title
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering Chuang Niu Jun Zhang Ge Wang Jimin Liang SSL 27 70 0 27 Feb 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 50 1,210 0 20 Feb 2020
Semi-Supervised Class Discovery Jeremy Nixon J. Liu David Berthelot 20 2 0 10 Feb 2020
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection Rujikorn Charakorn Y. Thawornwattana Sirawaj Itthipuripat Nick Pawlowski P. Manoonpong Nat Dilokthanakul DRL OCL 29 13 0 24 Jan 2020
Consistency Regularization for Generative Adversarial Networks Han Zhang Zizhao Zhang Augustus Odena Honglak Lee GAN 36 284 0 26 Oct 2019
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift Nairouz Mrabah Mohamed Bouguessa Riadh Ksantini OOD 24 53 0 26 Sep 2019
Deep Kernel Learning for Clustering Chieh-Tsai Wu Zulqarnain Khan Yale Chang Stratis Ioannidis Jennifer Dy 102 13 0 09 Aug 2019
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Sindy Löwe Peter O'Connor Bastiaan S. Veeling SSL 11 143 0 28 May 2019
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction Nairouz Mrabah N. Khan Riadh Ksantini Z. Lachiri 15 63 0 23 Jan 2019
Deep Representation Learning Characterized by Inter-class Separation for Image Clustering Dipanjan Das Ratul Ghosh Brojeshwar Bhowmick OOD SSL DRL 21 7 0 19 Jan 2019
Limited Gradient Descent: Learning With Noisy Labels Yi Sun Yan Tian Yiping Xu Jianxiang Li NoLa 35 13 0 20 Nov 2018
Neural Joint Source-Channel Coding Kristy Choi Kedar Tatwawadi Aditya Grover Tsachy Weissman Stefano Ermon 13 38 0 19 Nov 2018
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data Nan Lu Gang Niu A. Menon Masashi Sugiyama MQ 30 86 0 31 Aug 2018
XAI Beyond Classification: Interpretable Neural Clustering Xi Peng Yunfan Li Ivor W. Tsang Erik Cambria Jiancheng Lv Qiufeng Wang 13 74 0 22 Aug 2018
Improving Image Clustering With Multiple Pretrained CNN Feature Extractors Joris Guérin Byron Boots 19 31 0 20 Jul 2018
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 33 840 0 17 Jul 2018
Joint Optimization Framework for Learning with Noisy Labels Daiki Tanaka Daiki Ikami T. Yamasaki Kiyoharu Aizawa NoLa 39 703 0 30 Mar 2018
Clustering-driven Deep Embedding with Pairwise Constraints Sharon Fogel Hadar Averbuch-Elor Jacob Goldberger Daniel Cohen-Or 3DPC 27 48 0 22 Mar 2018
Clustering with Deep Learning: Taxonomy and New Methods Elie Aljalbout Vladimir Golkov Yawar Siddiqui Maximilian Strobel Daniel Cremers 33 240 0 23 Jan 2018
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012