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Disentangling by Factorising

16 February 2018

Papers citing "Disentangling by Factorising"

50 / 790 papers shown

Title
Finding the global semantic representation in GAN through Frechet Mean Jaewoong Choi Geonho Hwang Hyunsoo Cho Myung-joo Kang GAN DRL 62 2 0 11 Oct 2022
Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors Chester Holtz Zhengchao Wan A. Cloninger DRL 36 1 0 04 Oct 2022
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language Zhenlin Xu Marc Niethammer Colin Raffel CoGe OOD OCL DRL 104 44 0 02 Oct 2022
Disentanglement with Biological Constraints: A Theory of Functional Cell Types James C. R. Whittington W. Dorrell Surya Ganguli Timothy Edward John Behrens 92 51 0 30 Sep 2022
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder Jianning Li Jana Fragemann Seyed-Ahmad Ahmadi Jens Kleesiek Jan Egger DRL 65 5 0 29 Sep 2022
Learning Disentangled Representations for Natural Language Definitions Danilo S. Carvalho Giangiacomo Mercatali Yingji Zhang André Freitas CoGe DRL 89 8 0 22 Sep 2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G. Morel Lucas Drumetz Simon Benaïchouche Nicolas Courty F. Rousseau OT 136 6 0 22 Sep 2022
NashAE: Disentangling Representations through Adversarial Covariance Minimization Eric C. Yeats Frank Liu David A. P. Womble Hai Helen Li CML 94 10 0 21 Sep 2022
SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping Jiageng Zhu Hanchen Xie Wael AbdAlmageed SSL CoGe DRL 57 4 0 21 Sep 2022
A Measure of the Complexity of Neural Representations based on Partial Information Decomposition David A. Ehrlich Andreas C. Schneider V. Priesemann Michael Wibral Abdullah Makkeh 87 18 0 21 Sep 2022
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models Stefano Ferraro Toon Van de Maele Pietro Mazzaglia Tim Verbelen Bart Dhoedt 3DV OCL DRL 82 8 0 16 Sep 2022
Compositional Law Parsing with Latent Random Functions Fan Shi Bin Li Xiangyang Xue CoGe 59 4 0 15 Sep 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 89 1 0 15 Sep 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 91 12 0 15 Sep 2022
Weakly Supervised Invariant Representation Learning Via Disentangling Known and Unknown Nuisance Factors Jiageng Zhu Hanchen Xie Wael AbdAlmageed 54 1 0 15 Sep 2022
Modular Representations for Weak Disentanglement Andrea Valenti D. Bacciu 63 0 0 12 Sep 2022
$β$ -CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck Ming-fei Hu Jian Liu SSL 77 1 0 12 Sep 2022
Neuromorphic Visual Scene Understanding with Resonator Networks Alpha Renner Lazar Supic Andreea Danielescu Giacomo Indiveri Bruno A. Olshausen Yulia Sandamirskaya Friedrich T. Sommer E. P. Frady 84 19 0 26 Aug 2022
Semi-Supervised Disentanglement of Tactile Contact~Geometry from Sliding-Induced Shear A. Gupta Alex Church Nathan Lepora 49 2 0 26 Aug 2022
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 92 14 0 23 Aug 2022
Synthetic Data in Human Analysis: A Survey Indu Joshi Marcel Grimmer Christian Rathgeb Christoph Busch Francois Bremond A. Dantcheva 118 49 0 19 Aug 2022
Disentangled Representation with Causal Constraints for Counterfactual Fairness Ziqi Xu Jixue Liu Debo Cheng Jiuyong Li Lin Liu Ke Wang FaML OOD CML 155 7 0 19 Aug 2022
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction Yinfeng Li Chen Gao Quanming Yao Tong Li Depeng Jin Yong Li HAI 41 8 0 14 Aug 2022
Function Classes for Identifiable Nonlinear Independent Component Analysis Simon Buchholz M. Besserve Bernhard Schölkopf 92 40 0 12 Aug 2022
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning Ruichu Cai Weilin Chen Zeqin Yang Shu Wan Chen Zheng Xiaoqing Yang Jiecheng Guo CML BDL 97 12 0 09 Aug 2022
Disentangled Representation Learning Using ( $β$ -)VAE and GAN Mohammad Haghir Ebrahimabadi OCL CoGe GAN DRL 119 0 0 09 Aug 2022
Adversarial robustness of VAEs through the lens of local geometry Asif Khan Amos Storkey AAML DRL 75 5 0 08 Aug 2022
Interpretable Disentangled Parametrization of Measured BRDF with $β$ -VAE A. Benamira Sachin Shah S. Pattanaik 58 3 0 08 Aug 2022
A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation Minfeng Xu Heng Guo Jianfeng Zhang K. Yan Le Lu 40 5 0 02 Aug 2022
De-biased Representation Learning for Fairness with Unreliable Labels Yixuan Zhang Feng Zhou Zhidong Li Yang Wang Fang Chen 29 0 0 01 Aug 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 128 134 0 27 Jul 2022
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods Julian Schon Raghavendra Selvan Jens Petersen MedIm 49 4 0 20 Jul 2022
On the Versatile Uses of Partial Distance Correlation in Deep Learning Xingjian Zhen Zihang Meng Rudrasis Chakraborty Vikas Singh OODD 95 29 0 20 Jul 2022
Meta-Referential Games to Learn Compositional Learning Behaviours Kevin Denamganai S. Missaoui James Alfred Walker 62 1 0 16 Jul 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 74 13 0 14 Jul 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations Min Zhao Fan Bao Chongxuan Li Jun Zhu DiffM 138 197 0 14 Jul 2022
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 81 18 0 12 Jul 2022
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process Lukas Klein Mennatallah El-Assady Paul F. Jäger CML 45 1 0 11 Jul 2022
Factorizing Knowledge in Neural Networks Xingyi Yang Jingwen Ye Xinchao Wang MoMe 133 126 0 04 Jul 2022
When are Post-hoc Conceptual Explanations Identifiable? Tobias Leemann Michael Kirchhof Yao Rong Enkelejda Kasneci Gjergji Kasneci 122 12 0 28 Jun 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 89 31 0 26 Jun 2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems Zihan Wang Na Huang Fei Sun Pengjie Ren Zhumin Chen Hengliang Luo Maarten de Rijke Zhaochun Ren AAML 114 16 0 24 Jun 2022
Disentangling representations in Restricted Boltzmann Machines without adversaries Jorge Fernandez-de-Cossio-Diaz Simona Cocco R. Monasson DRL 71 13 0 23 Jun 2022
Towards Unsupervised Content Disentanglement in Sentence Representations via Syntactic Roles G. Felhi Joseph Le Roux Djamé Seddah DRL 47 5 0 22 Jun 2022
Learning Fair Representation via Distributional Contrastive Disentanglement Changdae Oh Heeji Won Junhyuk So Taero Kim Yewon Kim Hosik Choi Kyungwoo Song FaML CoGe CML DRL 69 42 0 17 Jun 2022
Going Deeper than Tracking: a Survey of Computer-Vision Based Recognition of Animal Pain and Affective States Sofia Broomé Marcelo Feighelstein Anna Zamansky Gabriel Carreira Lencioni P. Andersen Francisca Pessanha M. Mahmoud Hedvig Kjellström A. A. Salah 87 11 0 16 Jun 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case Clément Chadebec Louis J. Vincent S. Allassonnière DRL 98 30 0 16 Jun 2022
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis Qi Lyu Xiao Fu CML 59 4 0 14 Jun 2022
High-Dimensional Bayesian Optimization with Constraints: Application to Powder Weighing Shoki Miyagawa Atsuyoshi Yano N. Sawada Isamu Ogawa 57 0 0 13 Jun 2022
An Empirical Study on Disentanglement of Negative-free Contrastive Learning Jinkun Cao Ruiqian Nai Qing Yang Jialei Huang Yang Gao CoGe DRL 61 10 0 09 Jun 2022