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Disentangling by Factorising

16 February 2018

Papers citing "Disentangling by Factorising"

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Title
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 94 3 0 30 Aug 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 192 72 0 26 Aug 2021
Efficient Out-of-Distribution Detection Using Latent Space of $β$ -VAE for Cyber-Physical Systems Shreyas Ramakrishna Zahra Rahiminasab G. Karsai Arvind Easwaran Abhishek Dubey OODD 85 28 0 26 Aug 2021
Disentangled Generative Models for Robust Prediction of System Dynamics Stathi Fotiadis Mario Lino Valencia Shunlong Hu Stef Garasto C. Cantwell Anil Anthony Bharath DRL OOD CML 90 10 0 26 Aug 2021
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model Kwanseok Oh Jeeseok Yoon Heung-Il Suk FAtt 81 28 0 21 Aug 2021
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation Yuxiang Wei Yupeng Shi Xiao-Chang Liu Zhilong Ji Yuan Gao Zhongqin Wu W. Zuo 70 55 0 17 Aug 2021
Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions Andrea Burns Aaron Sarna Dilip Krishnan Aaron Maschinot CoGe DRL SSL 91 4 0 14 Aug 2021
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities Elias Eulig Piyapat Saranrittichai Chaithanya Kumar Mummadi K. Rambach William H. Beluch Xiahan Shi Volker Fischer 208 11 0 12 Aug 2021
SurpriseNet: Melody Harmonization Conditioning on User-controlled Surprise Contours Yi-Wei Chen Hung-Shin Lee Yen-Hsing Chen Hsin-Min Wang 59 18 0 01 Aug 2021
Fair Representation Learning using Interpolation Enabled Disentanglement Akshita Jha B. Vinzamuri Chandan K. Reddy FedML 137 3 0 31 Jul 2021
Unsupervised Learning of Neurosymbolic Encoders Eric Zhan Jennifer J. Sun Ann Kennedy Yisong Yue Swarat Chaudhuri 91 14 0 28 Jul 2021
Pixyz: a Python library for developing deep generative models Masahiro Suzuki T. Kaneko Y. Matsuo AI4CE 83 3 0 28 Jul 2021
Improving ClusterGAN Using Self-Augmented Information Maximization of Disentangling Latent Spaces T. Dam S. Anavatti H. Abbass 62 6 0 27 Jul 2021
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning Minh Nguyen A. Roy Haoran Zhang BDL DRL 97 1 0 25 Jul 2021
$β$ -Annealed Variational Autoencoder for glitches Sivaramakrishnan Sankarapandian Brian Kulis DRL 20 1 0 20 Jul 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain Lukas Schott Julius von Kügelgen Frederik Trauble Peter V. Gehler Chris Russell Matthias Bethge Bernhard Schölkopf Francesco Locatello Wieland Brendel OOD DRL 133 74 0 17 Jul 2021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 108 16 0 12 Jul 2021
InfoVAEGAN : learning joint interpretable representations by information maximization and maximum likelihood Fei Ye A. Bors GAN DRL 44 15 0 09 Jul 2021
Lifelong Teacher-Student Network Learning Fei Ye A. Bors CLL 58 45 0 09 Jul 2021
Semantic and Geometric Unfolding of StyleGAN Latent Space Mustafa Shukor Xu Yao B. Damodaran Pierre Hellier GAN 77 4 0 09 Jul 2021
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL) Michael A. Hedderich Benjamin Roth Katharina Kann Barbara Plank Alex Ratner Dietrich Klakow 60 0 0 08 Jul 2021
InfoNCE is variational inference in a recognition parameterised model Laurence Aitchison Stoil Ganev BDL 76 10 0 06 Jul 2021
Generalization and Robustness Implications in Object-Centric Learning Andrea Dittadi Samuele Papa Michele De Vita Bernhard Schölkopf Ole Winther Francesco Locatello OCL OOD 109 77 0 01 Jul 2021
A Survey on Adversarial Image Synthesis William Roy Glen Kelly R. Leer Frederick Ricardo GAN 71 3 0 30 Jun 2021
An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild Aviv Gabbay Niv Cohen Yedid Hoshen CoGe DRL 70 35 0 29 Jun 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 89 295 0 29 Jun 2021
Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim Seohong Park Gunhee Kim 88 34 0 27 Jun 2021
Disentangling semantic features of macromolecules in Cryo-Electron Tomography Kai Yi Jianye Pang Yungeng Zhang Xiangrui Zeng Min Xu 111 1 0 27 Jun 2021
Conjugate Energy-Based Models Hao Wu Babak Esmaeili Michael L. Wick Jean-Baptiste Tristan Jan-Willem van de Meent 96 2 0 25 Jun 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 99 11 0 25 Jun 2021
Learning Multimodal VAEs through Mutual Supervision Thomas Joy Yuge Shi Philip Torr Tom Rainforth Sebastian M. Schmon N. Siddharth SSL 86 20 0 23 Jun 2021
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images Vishal Asnani Xi Yin Tal Hassner Xiaoming Liu 99 73 0 15 Jun 2021
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective Qinjie Lyu Xiao Fu Weiran Wang Songtao Lu SSL 89 31 0 14 Jun 2021
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data Haoyu Song Yan Wang Kaiyan Zhang Weinan Zhang Ting Liu 65 123 0 11 Jun 2021
Group Equivariant Subsampling Jin Xu Hyunjik Kim Tom Rainforth Yee Whye Teh 67 22 0 10 Jun 2021
Multi-Facet Clustering Variational Autoencoders Fabian Falck Haoting Zhang M. Willetts G. Nicholson C. Yau Chris Holmes DRL 80 44 0 09 Jun 2021
I Don't Need u: Identifiable Non-Linear ICA Without Side Information M. Willetts Brooks Paige CML OOD 59 25 0 09 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style Julius von Kügelgen Yash Sharma Luigi Gresele Wieland Brendel Bernhard Schölkopf M. Besserve Francesco Locatello 133 317 0 08 Jun 2021
Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets Lan Zhang Victor Prokhorov Ehsan Shareghi CoGe DRL 42 3 0 07 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 85 25 0 07 Jun 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization Travers Rhodes Daniel D. Lee DRL 80 16 0 05 Jun 2021
Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning Martin Q. Ma Yao-Hung Hubert Tsai Paul Pu Liang Han Zhao Kun Zhang Ruslan Salakhutdinov Louis-Philippe Morency SSL 83 16 0 05 Jun 2021
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse Yang Li Liangliang Shi Junchi Yan GAN 38 7 0 01 Jun 2021
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals Asma Ghandeharioun Been Kim Chun-Liang Li Brendan Jou B. Eoff Rosalind W. Picard AAML 91 54 0 31 May 2021
Understanding Instance-based Interpretability of Variational Auto-Encoders Zhifeng Kong Kamalika Chaudhuri TDI 88 28 0 29 May 2021
GeomCA: Geometric Evaluation of Data Representations Petra Poklukar Anastasia Varava Danica Kragic 57 11 0 26 May 2021
Controlling Text Edition by Changing Answers of Specific Questions Lei Sha Patrick Hohenecker Thomas Lukasiewicz 187 7 0 23 May 2021
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement Guillaume Carbajal Julius Richter Timo Gerkmann DRL 87 15 0 19 May 2021
Discover the Unknown Biased Attribute of an Image Classifier Zhiheng Li Chenliang Xu 79 50 0 29 Apr 2021
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation Jiteng Mu Weichao Qiu Adam Kortylewski Alan Yuille Nuno Vasconcelos Xiaolong Wang 121 112 0 15 Apr 2021