Discovering Hidden Factors of Variation in Deep Networks

20 December 2014

Papers citing "Discovering Hidden Factors of Variation in Deep Networks"

36 / 36 papers shown

Title
Disentangling stellar atmospheric parameters in astronomical spectra using Generative Adversarial Neural Networks Minia Manteiga Raúl Santoveña Marco A. Álvarez Carlos Dafonte Manuel G. Penedo S. Navarro L. Corral 26 0 0 20 Jan 2025
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 43 4 0 06 Mar 2024
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao Jingyue Gao Shuguang Han Ziru Xu Siran Yang Yuning Jiang Jian Xu Bo Zheng 33 11 0 06 Jun 2023
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 31 28 0 19 Jul 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 29 44 0 17 Mar 2022
Novel View Synthesis via Depth-guided Skip Connections Wenshuai Zhao Arno Solin Arno Solin 40 9 0 05 Jan 2021
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild Estèphe Arnaud Arnaud Dapogny Kévin Bailly CVBM 29 23 0 15 Oct 2020
Disentangled Neural Architecture Search Xinyue Zheng Peng Wang Qigang Wang Zhongchao Shi AI4CE 22 4 0 24 Sep 2020
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding David A. Klindt Lukas Schott Yash Sharma Ivan Ustyuzhaninov Wieland Brendel Matthias Bethge Dylan M. Paiton CML 48 132 0 21 Jul 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 313 0 07 Feb 2020
All-In-One: Facial Expression Transfer, Editing and Recognition Using A Single Network Kamran Ali C. Hughes GAN 25 7 0 16 Nov 2019
Generalization to Novel Objects using Prior Relational Knowledge V. Vijay Abhinav Ganesh Hanlin Tang Arjun K. Bansal GNN 19 6 0 26 Jun 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 30 133 0 07 Jun 2019
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned Representations J. Livezey Ahyeon Hwang Jacob Yeung K. Bouchard 28 0 0 23 May 2019
Towards Instance-level Image-to-Image Translation Zhiqiang Shen Mingyang Huang Jianping Shi Xiangyang Xue Thomas Huang 28 102 0 05 May 2019
Disentangling Factors of Variation Using Few Labels Francesco Locatello Michael Tschannen Stefan Bauer Gunnar Rätsch Bernhard Schölkopf Olivier Bachem DRL CML CoGe 15 122 0 03 May 2019
Image Generation from Layout Bo-Lu Zhao Lili Meng Weidong Yin Leonid Sigal 11 208 0 28 Nov 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 26 229 0 04 Oct 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 20 535 0 12 Jul 2018
Learning Factorized Multimodal Representations Yao-Hung Hubert Tsai Paul Pu Liang Amir Zadeh Louis-Philippe Morency Ruslan Salakhutdinov DRL 61 402 0 16 Jun 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 9 822 0 10 Apr 2018
Factorised spatial representation learning: application in semi-supervised myocardial segmentation A. Chartsias T. Joyce G. Papanastasiou S. Semple M. Williams D. Newby R. Dharmakumar Sotirios A. Tsaftaris DRL 51 69 0 19 Mar 2018
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning José Lezama Qiang Qiu Pablo Musé Guillermo Sapiro 35 78 0 05 Dec 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning I. Higgins Arka Pal Andrei A. Rusu Loic Matthey Christopher P. Burgess Alexander Pritzel M. Botvinick Charles Blundell Alexander Lerchner DRL 29 409 0 26 Jul 2017
A Survey of Inductive Biases for Factorial Representation-Learning Karl Ridgeway DRL CML 24 76 0 15 Dec 2016
Learning Shape Abstractions by Assembling Volumetric Primitives Shubham Tulsiani Hao Su Leonidas J. Guibas Alexei A. Efros Jitendra Malik 14 358 0 01 Dec 2016
Disentangling factors of variation in deep representations using adversarial training Michaël Mathieu J. Zhao Pablo Sprechmann Aditya A. Ramesh Yann LeCun DRL CML 25 489 0 10 Nov 2016
Enabling Dark Energy Science with Deep Generative Models of Galaxy Images Siamak Ravanbakhsh F. Lanusse Rachel Mandelbaum J. Schneider Barnabás Póczós 16 65 0 19 Sep 2016
Early Visual Concept Learning with Unsupervised Deep Learning I. Higgins Loic Matthey Xavier Glorot Arka Pal Benigno Uria Charles Blundell S. Mohamed Alexander Lerchner CoGe OCL DRL 14 173 0 17 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 59 4,210 0 12 Jun 2016
Low-shot Visual Recognition by Shrinking and Hallucinating Features Bharath Hariharan Ross B. Girshick VLM 25 49 0 09 Jun 2016
View Synthesis by Appearance Flow Tinghui Zhou Shubham Tulsiani Weilun Sun Jitendra Malik Alexei A. Efros 21 689 0 11 May 2016
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition Saeed Reza Kheradpisheh M. Ghodrati M. Ganjtabesh T. Masquelier 27 175 0 17 Aug 2015
Bayesian representation learning with oracle constraints Theofanis Karaletsos Serge J. Belongie Gunnar Rätsch BDL 21 92 0 16 Jun 2015
Understanding deep features with computer-generated imagery Mathieu Aubry Bryan C. Russell 17 148 0 03 Jun 2015
Automatic Relevance Determination For Deep Generative Models Theofanis Karaletsos Gunnar Rätsch 25 8 0 28 May 2015