Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks

20 May 2020

Papers citing "Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks"

9 / 9 papers shown

Title
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset Zhenyu Wu Haotao Wang Zhaowen Wang Hailin Jin Zhangyang Wang AAML PICV 65 15 0 12 Jun 2019
Unsupervised Domain-Specific Deblurring via Disentangled Representations Boyu Lu Jun-Cheng Chen Rama Chellappa OCL 46 137 0 05 Mar 2019
Disentangled Representation Learning for 3D Face Shape Zi-Hang Jiang Qianyi Wu Keyu Chen Juyong Zhang DRL 3DH CoGe CVBM 42 109 0 26 Feb 2019
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings Mohsan S. Alvi Andrew Zisserman C. Nellåker FaML 117 248 0 06 Sep 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 379 681 0 17 Feb 2018
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 146 2,826 0 15 Jun 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth Narayanaswamy Brooks Paige Jan-Willem van de Meent Alban Desmaison Noah D. Goodman Pushmeet Kohli Frank Wood Philip Torr DRL CoGe 117 362 0 01 Jun 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Justin Johnson B. Hariharan Laurens van der Maaten Li Fei-Fei C. L. Zitnick Ross B. Girshick CoGe 295 2,375 0 20 Dec 2016
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 233 6,022 0 26 Sep 2014