Understanding disentangling in $β$ -VAE

10 April 2018

Christopher P. Burgess

Papers citing "Understanding disentangling in $β$-VAE"

37 / 37 papers shown

Title
Bidirectional Variational Autoencoders Bart Kosko Olaoluwa Adigun BDL 52 0 0 21 May 2025
JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Tristan Kenneweg Philip Kenneweg Barbara Hammer AI4TS 50 0 0 23 Apr 2025
Improving Human-AI Coordination through Adversarial Training and Generative Models Paresh Chaudhary Yancheng Liang Daphne Chen S. Du Natasha Jaques 109 1 0 21 Apr 2025
$Learning Metal Microstructural Heterogeneity through Spatial Mapping of Diffraction Latent Space Features$ Learning Metal Microstructural Heterogeneity through Spatial Mapping of Diffraction Latent Space Features Mathieu Calvat Chris Bean Dhruv Anjaria Hyoungryul Park Haoren Wang Kenneth Vecchio J.C. Stinville AI4CE 79 1 0 30 Jan 2025
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations Julius Aka Johannes Brunnemann Jörg Eiden Arne Speerforck Lars Mikelsons 68 0 0 14 Oct 2024
PECAN: Personalizing Robot Behaviors through a Learned Canonical Space Heramb Nemlekar Robert Ramirez Sanchez Dylan P. Losey 85 3 0 22 Jul 2024
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models Samuel Marks Can Rager Eric J. Michaud Yonatan Belinkov David Bau Aaron Mueller 128 148 0 28 Mar 2024
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 101 3 0 24 Aug 2023
LatentGAN Autoencoder: Learning Disentangled Latent Distribution Sanket Kalwar Animikh Aich Tanay Dixit Adit Chhabra DRL 56 0 0 05 Apr 2022
Linear Disentangled Representations and Unsupervised Action Estimation Matthew Painter Jonathon S. Hare Adam Prugel-Bennett CoGe DRL 66 20 0 18 Aug 2020
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks Chi-Hieu Pham Saïd Ladjal A. Newson DRL 71 31 0 14 Jun 2020
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 104 415 0 26 Jul 2017
SCAN: Learning Hierarchical Compositional Visual Concepts I. Higgins Nicolas Sonnerat Loic Matthey Arka Pal Christopher P. Burgess Matko Bosnjak Murray Shanahan M. Botvinick Demis Hassabis Alexander Lerchner OCL DRL CoGe 57 51 0 11 Jul 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 247 2,963 0 20 Mar 2017
A Survey of Inductive Biases for Factorial Representation-Learning Karl Ridgeway DRL CML 60 76 0 15 Dec 2016
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 119 1,720 0 01 Dec 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 101 1,228 0 16 Nov 2016
Information Dropout: Learning Optimal Representations Through Noisy Computation Alessandro Achille Stefano Soatto OOD DRL SSL 57 401 0 04 Nov 2016
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 401 7,391 0 12 Sep 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 204 2,511 0 16 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 157 4,235 0 12 Jun 2016
Understanding Visual Concepts with Continuation Learning William F. Whitney Michael Chang Tejas D. Kulkarni J. Tenenbaum DRL GAN 76 55 0 22 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 197 8,851 0 04 Feb 2016
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis Jimei Yang Scott E. Reed Ming-Hsuan Yang Honglak Lee VOT 55 314 0 05 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Bayesian representation learning with oracle constraints Theofanis Karaletsos Serge J. Belongie Gunnar Rätsch BDL 55 92 0 16 Jun 2015
Learning to Linearize Under Uncertainty Ross Goroshin Michaël Mathieu Yann LeCun GAN OOD 89 141 0 09 Jun 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 97 929 0 11 Mar 2015
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 161 1,962 0 16 Feb 2015
Transformation Properties of Learned Visual Representations Taco S. Cohen Max Welling 49 106 0 24 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Discovering Hidden Factors of Variation in Deep Networks Brian Cheung J. Livezey Arjun K. Bansal Bruno A. Olshausen DRL 69 193 0 20 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 457 43,649 0 17 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 450 16,933 0 20 Dec 2013
High-Dimensional Probability Estimation with Deep Density Models Oren Rippel Ryan P. Adams 163 124 0 20 Feb 2013
Disentangling Factors of Variation via Generative Entangling Guillaume Desjardins Aaron Courville Yoshua Bengio CoGe CML DRL 90 104 0 19 Oct 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 256 12,435 0 24 Jun 2012

Understanding disentangling in βββ-VAE

Papers citing "Understanding disentangling in $β$-VAE"

Understanding disentangling in $β$ -VAE