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Disentangling by Factorising

16 February 2018

Papers citing "Disentangling by Factorising"

50 / 790 papers shown

Title
GCVAE: Generalized-Controllable Variational AutoEncoder Kenneth Ezukwoke Anis Hoayek M. Batton-Hubert Xavier Boucher BDL DRL 29 1 0 09 Jun 2022
Is a Modular Architecture Enough? Sarthak Mittal Yoshua Bengio Guillaume Lajoie 112 49 0 06 Jun 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis Patrik Reizinger Luigi Gresele Jack Brady Julius von Kügelgen Dominik Zietlow Bernhard Schölkopf Georg Martius Wieland Brendel M. Besserve DRL 101 21 0 06 Jun 2022
Learning Robust Representations Of Generative Models Using Set-Based Artificial Fingerprints Hae Jin Song Wael AbdAlmageed OOD 52 0 0 04 Jun 2022
Weakly Supervised Representation Learning with Sparse Perturbations Kartik Ahuja Jason S. Hartford Yoshua Bengio SSL 109 61 0 02 Jun 2022
Principled Paraphrase Generation with Parallel Corpora Aitor Ormazabal Mikel Artetxe Aitor Soroa Etxabe Gorka Labaka Eneko Agirre 100 9 0 24 May 2022
Visual Concepts Tokenization Tao Yang Yuwang Wang Yan Lu Nanning Zheng OCL ViT 107 15 0 20 May 2022
Leveraging Relational Information for Learning Weakly Disentangled Representations Andrea Valenti D. Bacciu CoGe DRL 75 5 0 20 May 2022
Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis Yun Yvonna Li Zhe Liu L. Yao Jessica J.M.Monaghan David Mcalpine 79 10 0 03 May 2022
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning Xiaojian Ma Weili Nie Zhiding Yu Huaizu Jiang Chaowei Xiao Yuke Zhu Song-Chun Zhu Anima Anandkumar ViT LRM 131 19 0 24 Apr 2022
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models Ali Ghadirzadeh Petra Poklukar Karol Arndt Chelsea Finn Ville Kyrki Danica Kragic Mårten Björkman OffRL 64 2 0 18 Apr 2022
Learning and controlling the source-filter representation of speech with a variational autoencoder Samir Sadok Simon Leglaive Laurent Girin Xavier Alameda-Pineda Renaud Séguier SSL DRL BDL 115 14 0 14 Apr 2022
Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation M. Montero J. Bowers Rui Ponte Costa Casimir J. H. Ludwig Gaurav Malhotra DRL CoGe 91 13 0 05 Apr 2022
Do learned representations respect causal relationships? Lan Wang Vishnu Boddeti NAI CML OOD 93 6 0 02 Apr 2022
Provable concept learning for interpretable predictions using variational autoencoders Armeen Taeb Nicolò Ruggeri Carina Schnuck Fanny Yang 125 5 0 01 Apr 2022
Autoencoder for Synthetic to Real Generalization: From Simple to More Complex Scenes S. Cruz B. Taetz Thomas Stifter D. Stricker 69 2 0 01 Apr 2022
Fair Contrastive Learning for Facial Attribute Classification Sungho Park Jewook Lee Pilhyeon Lee Sunhee Hwang D. Kim H. Byun FaML 71 92 0 30 Mar 2022
Concept Embedding Analysis: A Review Gesina Schwalbe 77 28 0 25 Mar 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi 99 15 0 23 Mar 2022
Review of Disentanglement Approaches for Medical Applications -- Towards Solving the Gordian Knot of Generative Models in Healthcare Jana Fragemann Lynton Ardizzone Jan Egger Jens Kleesiek DRL MedIm 56 10 0 21 Mar 2022
PublicCheck: Public Integrity Verification for Services of Run-time Deep Models Shuo Wang Sharif Abuadbba Sidharth Agarwal Kristen Moore Ruoxi Sun Minhui Xue Surya Nepal S. Çamtepe S. Kanhere HILM 50 7 0 21 Mar 2022
Partitioning Image Representation in Contrastive Learning Hyunsub Lee Heeyoul Choi SSL DRL 34 1 0 20 Mar 2022
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders Irem Cetin Maialen Stephens Oscar Camara M. A. G. Ballester DRL 120 40 0 20 Mar 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 99 12 0 18 Mar 2022
Decouple-and-Sample: Protecting sensitive information in task agnostic data release Abhishek Singh Ethan Garza Ayush Chopra Praneeth Vepakomma Vivek Sharma Ramesh Raskar 63 7 0 17 Mar 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 95 46 0 17 Mar 2022
Discovering the building blocks of dark matter halo density profiles with neural networks Luisa Lucie-Smith H. Peiris A. Pontzen Brian D. Nord Jeyan Thiyagalingam Davide Piras 35 6 0 16 Mar 2022
The Transitive Information Theory and its Application to Deep Generative Models Trung Ngo Trong Najwa Laabid Ville Hautamaki M. Heinäniemi DRL 95 0 0 09 Mar 2022
Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning Yi Gao Chenwei Tang Jiancheng Lv 103 0 0 05 Mar 2022
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations Yiwei Lyu Paul Pu Liang Zihao Deng Ruslan Salakhutdinov Louis-Philippe Morency 86 35 0 03 Mar 2022
Disentangled Spatiotemporal Graph Generative Models Yuanqi Du Xiaojie Guo Hengning Cao Yanfang Ye Liang Zhao 100 21 0 28 Feb 2022
Interpretable Molecular Graph Generation via Monotonic Constraints Yuanqi Du Xiaojie Guo Amarda Shehu Liang Zhao 115 19 0 28 Feb 2022
Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference V. Lalchand Aditya Ravuri Neil D. Lawrence GP VLM 31 5 0 25 Feb 2022
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations Paidamoyo Chapfuwa Sherri Rose Lawrence Carin Edward Meeds Ricardo Henao CML 42 1 0 25 Feb 2022
On PAC-Bayesian reconstruction guarantees for VAEs Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 109 19 0 23 Feb 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 134 17 0 22 Feb 2022
Moment Matching Deep Contrastive Latent Variable Models Ethan Weinberger Nicasia Beebe-Wang Su-In Lee 84 17 0 21 Feb 2022
Disentangling Autoencoders (DAE) Jaehoon Cha Jeyan Thiyagalingam CoGe 83 1 0 20 Feb 2022
End-to-End Training for Back-Translation with Categorical Reparameterization Trick DongNyeong Heo Heeyoul Choi 48 0 0 17 Feb 2022
Disentangling Domain and Content Dan-Andrei Iliescu A. Mikhailiuk Damon J. Wischik Rafał K. Mantiuk DRL 37 0 0 15 Feb 2022
Unsupervised Disentanglement with Tensor Product Representations on the Torus Michael Rotman A. Dekel Shir Gur Yaron Oz Lior Wolf 34 4 0 13 Feb 2022
Learning long-term music representations via hierarchical contextual constraints Shiqing Wei Gus Xia 49 9 0 13 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt Apostolos Avranas Marios Kountouris FAtt 51 1 0 10 Feb 2022
Measuring disentangled generative spatio-temporal representation Sichen Zhao Wei Shao Jeffrey Chan Flora D. Salim DRL AI4TS 65 3 0 10 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 288 66 0 07 Feb 2022
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery N. Trask Carianne Martinez Kookjin Lee Brad L. Boyce DRL AI4CE 53 7 0 07 Feb 2022
Decoupling Local and Global Representations of Time Series S. Tonekaboni Chun-Liang Li Sercan O. Arik Anna Goldenberg Tomas Pfister AI4TS CML OOD 71 20 0 04 Feb 2022
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement Xiaoting Shao Karl Stelzner Kristian Kersting CML DRL 79 3 0 01 Feb 2022
Controlling Directions Orthogonal to a Classifier Yilun Xu Hao He T. Shen Tommi Jaakkola 129 19 0 27 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 178 423 0 20 Jan 2022