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Disentangling by Factorising

16 February 2018

Papers citing "Disentangling by Factorising"

50 / 790 papers shown

Title
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision Kwanseok Oh Jee Seok Yoon Heung-Il Suk 46 4 0 20 Nov 2020
Dual Contradistinctive Generative Autoencoder Gaurav Parmar Dacheng Li Kwonjoon Lee Zhuowen Tu GAN 67 82 0 19 Nov 2020
Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critic's Hypothesis Space to RKHS P. A. Sreekar Ujjwal Tiwari A. Namboodiri 39 2 0 17 Nov 2020
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation Aditya Sreekar Ujjwal Tiwari A. Namboodiri DRL 116 4 0 17 Nov 2020
On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision Harald Stromfelt Luke Dickens Artur Garcez A. Russo DRL 44 2 0 13 Nov 2020
Quantifying and Learning Linear Symmetry-Based Disentanglement Loek Tonnaer L. Rey Vlado Menkovski Mike Holenderski J. Portegies FedML CoGe DRL 70 14 0 11 Nov 2020
Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation Takumi Aoki Shunsuke Kitada Hitoshi Iyatomi 55 2 0 09 Nov 2020
Paralinguistic Privacy Protection at the Edge Ranya Aloufi Hamed Haddadi David E. Boyle 60 14 0 04 Nov 2020
ControlVAE: Tuning, Analytical Properties, and Performance Analysis Huajie Shao Zhisheng Xiao Shuochao Yao Aston Zhang Shengzhong Liu Tarek Abdelzaher DRL 99 16 0 31 Oct 2020
On the Transfer of Disentangled Representations in Realistic Settings Andrea Dittadi Frederik Trauble Francesco Locatello M. Wuthrich Vaibhav Agrawal Ole Winther Stefan Bauer Bernhard Schölkopf OOD 135 82 0 27 Oct 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 82 70 0 27 Oct 2020
Robust Disentanglement of a Few Factors at a Time Benjamin Estermann Markus Marks M. Yanik CoGe OOD DRL 88 3 0 26 Oct 2020
Generative Neurosymbolic Machines Jindong Jiang Sungjin Ahn BDL OCL 303 69 0 23 Oct 2020
Product Manifold Learning Sharon Zhang Amit Moscovich A. Singer 85 14 0 19 Oct 2020
An Identifiable Double VAE For Disentangled Representations Graziano Mita Maurizio Filippone Pietro Michiardi CoGe DRL 68 0 0 19 Oct 2020
Disentangling Action Sequences: Discovering Correlated Samples Jiantao Wu Lin Wang CML CoGe DRL 13 0 0 17 Oct 2020
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement Xingjian Li Di Hu Xuhong Li Haoyi Xiong Zhiquan Ye Zhipeng Wang Chengzhong Xu Dejing Dou AAML 38 1 0 16 Oct 2020
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild Estèphe Arnaud Arnaud Dapogny Kévin Bailly CVBM 69 26 0 15 Oct 2020
Human-interpretable model explainability on high-dimensional data Damien de Mijolla Christopher Frye M. Kunesch J. Mansir Ilya Feige FAtt 52 10 0 14 Oct 2020
Factorizable Graph Convolutional Networks Yiding Yang Zunlei Feng Xiuming Zhang Xinchao Wang GNN 96 147 0 12 Oct 2020
Learning disentangled representations with the Wasserstein Autoencoder Benoit Gaujac Ilya Feige David Barber OOD CoGe DRL 38 6 0 07 Oct 2020
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning Sumedh Anand Sontakke Arash Mehrjou Laurent Itti Bernhard Schölkopf CML 101 63 0 07 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 84 4 0 05 Oct 2020
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior Hong-Ye Hu Dian Wu Yi-Zhuang You Bruno A. Olshausen Yubei Chen BDL DRL 89 16 0 30 Sep 2020
Geometric Disentanglement by Random Convex Polytopes M. Joswig M. Kaluba Lukas Ruff 65 3 0 29 Sep 2020
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing Ping Lang Xiongjun Fu M. Martorella Jian Dong Rui Qin Xianpeng Meng M. Xie 41 42 0 29 Sep 2020
Improving Robustness and Generality of NLP Models Using Disentangled Representations Jiawei Wu Xiaoya Li Xiang Ao Yuxian Meng Leilei Gan Jiwei Li OOD DRL 36 11 0 21 Sep 2020
Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints Liming Zhang Liang Zhao Dieter Pfoser 55 3 0 20 Sep 2020
Discond-VAE: Disentangling Continuous Factors from the Discrete Jaewoong Choi Geonho Hwang Myung-joo Kang CoGe CML 54 4 0 17 Sep 2020
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual Localization Hanjiang Hu Hesheng Wang Zhe Liu Weidong Chen 59 27 0 16 Sep 2020
DynamicVAE: Decoupling Reconstruction Error and Disentangled Representation Learning Huajie Shao Haohong Lin Qinmin Yang Shuochao Yao Han Zhao Tarek Abdelzaher DRL 51 0 0 15 Sep 2020
Zero-shot Synthesis with Group-Supervised Learning Yunhao Ge Sami Abu-El-Haija Gan Xin Laurent Itti 69 37 0 14 Sep 2020
Synbols: Probing Learning Algorithms with Synthetic Datasets Alexandre Lacoste Pau Rodríguez Frederic Branchaud-Charron Parmida Atighehchian Massimo Caccia I. Laradji Alexandre Drouin Matt Craddock Laurent Charlin David Vázquez 81 14 0 14 Sep 2020
Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations Ze Cheng Juncheng Li Chenxu Wang Jixuan Gu Hao Xu Xinjian Li Florian Metze OOD 32 2 0 12 Sep 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations Markos Georgopoulos Grigorios G. Chrysos Maja Pantic Yannis Panagakis GAN DRL 68 17 0 09 Sep 2020
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models Minyoung Kim Vladimir Pavlovic CML DRL 48 4 0 07 Sep 2020
LaDDer: Latent Data Distribution Modelling with a Generative Prior Shuyu Lin R. Clark DRL 100 4 0 31 Aug 2020
Decontextualized learning for interpretable hierarchical representations of visual patterns R. I. Etheredge M. Schartl Alex Jordan 44 4 0 31 Aug 2020
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization Prithvijit Chattopadhyay Yogesh Balaji Judy Hoffman OOD 95 208 0 28 Aug 2020
Measuring the Biases and Effectiveness of Content-Style Disentanglement Xiao Liu Spyridon Thermos Gabriele Valvano A. Chartsias Alison Q. OÑeil Sotirios A. Tsaftaris CoGe DRL 103 18 0 27 Aug 2020
Surrogate Model For Field Optimization Using Beta-VAE Based Regression Ajitabh Kumar 35 0 0 26 Aug 2020
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement William S. Peebles John Peebles Jun-Yan Zhu Alexei A. Efros Antonio Torralba 79 115 0 24 Aug 2020
WeLa-VAE: Learning Alternative Disentangled Representations Using Weak Labels Vasilis Margonis Athanasios Davvetas I. Klampanos CoGe DRL CML 40 3 0 22 Aug 2020
iCaps: An Interpretable Classifier via Disentangled Capsule Networks Dahuin Jung Jonghyun Lee Jihun Yi Sungroh Yoon 136 12 0 20 Aug 2020
Linear Disentangled Representations and Unsupervised Action Estimation Matthew Painter Jonathon S. Hare Adam Prugel-Bennett CoGe DRL 70 20 0 18 Aug 2020
Learning Interpretable Representation for Controllable Polyphonic Music Generation Ziyu Wang Dingsu Wang Yixiao Zhang Gus Xia DRL 53 64 0 17 Aug 2020
Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions T. Glüsenkamp 39 1 0 13 Aug 2020
Null-sampling for Interpretable and Fair Representations T. Kehrenberg Myles Bartlett Oliver Thomas Novi Quadrianto OOD 41 29 0 12 Aug 2020
Intervention Generative Adversarial Networks Jiadong Liang Liangyu Zhang Cheng Zhang Zhihua Zhang GAN 30 0 0 09 Aug 2020
From Rain Generation to Rain Removal Hong Wang Zongsheng Yue Qi Xie Qian Zhao Yefeng Zheng Deyu Meng 53 5 0 08 Aug 2020