v1v2 (latest)

Neural Discrete Representation Learning

2 November 2017

Papers citing "Neural Discrete Representation Learning"

50 / 3,267 papers shown

Title
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping Punarjay Chakravarty P. Narayanan Tom Roussel 3DGS MDE 74 27 0 06 Feb 2019
Uncertainty Quantification in Deep MRI Reconstruction Vineet Edupuganti Morteza Mardani S. Vasanawala John M. Pauly UQCV 81 95 0 31 Jan 2019
Disentangling and Learning Robust Representations with Natural Clustering Javier Antorán A. Miguel CoGe OOD CML DRL 65 19 0 27 Jan 2019
Unsupervised speech representation learning using WaveNet autoencoders J. Chorowski Ron J. Weiss Samy Bengio Aaron van den Oord SSL 85 319 0 25 Jan 2019
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels M. Willetts Stephen J. Roberts Christopher C Holmes 54 4 0 24 Jan 2019
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction Bryan Lim S. Zohren Stephen J. Roberts BDL AI4TS 76 40 0 23 Jan 2019
Classical Music Generation in Distinct Dastgahs with AlimNet ACGAN Saber Malekzadeh Maryam Samami Shahla Rezazadeh Azar Maryam Rayegan GAN MGen 45 3 0 15 Jan 2019
Preventing Posterior Collapse with delta-VAEs Ali Razavi Aaron van den Oord Ben Poole Oriol Vinyals DRL 115 171 0 10 Jan 2019
Poincaré Wasserstein Autoencoder Ivan Ovinnikov 97 17 0 05 Jan 2019
A Factorial Mixture Prior for Compositional Deep Generative Models Ulrich Paquet Sumedh Ghaisas O. Tieleman CoGe 37 1 0 18 Dec 2018
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 121 42 0 17 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 95 447 0 12 Dec 2018
Bayesian Layers: A Module for Neural Network Uncertainty Dustin Tran Michael W. Dusenberry Mark van der Wilk Danijar Hafner UQCV BDL 131 124 0 10 Dec 2018
Coarse-Graining Auto-Encoders for Molecular Dynamics Wujie Wang Rafael Gómez-Bombarelli AI4CE 70 167 0 06 Dec 2018
Prototype-based Neural Network Layers: Incorporating Vector Quantization S. Saralajew Lars Holdijk Maike Rees T. Villmann MQ 63 15 0 04 Dec 2018
Planning in Dynamic Environments with Conditional Autoregressive Models Johanna Hansen Kyle Kastner Aaron Courville Gregory Dudek 58 1 0 25 Nov 2018
Neural Joint Source-Channel Coding Kristy Choi Kedar Tatwawadi Aditya Grover Tsachy Weissman Stefano Ermon 64 39 0 19 Nov 2018
Harmonic Recomposition using Conditional Autoregressive Modeling Kyle Kastner Rithesh Kumar Tim Cooijmans Aaron Courville 52 0 0 18 Nov 2018
Extractive Summary as Discrete Latent Variables Aran Komatsuzaki 56 3 0 14 Nov 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 200 1,452 0 12 Nov 2018
Neural Image Compression for Gigapixel Histopathology Image Analysis David Tellez G. Litjens Jeroen van der Laak F. Ciompi 83 209 0 07 Nov 2018
Unsupervised Learning of Interpretable Dialog Models Dhiraj Madan Dinesh Raghu Gaurav Pandey Sachindra Joshi 47 0 0 02 Nov 2018
(Self-Attentive) Autoencoder-based Universal Language Representation for Machine Translation Carlos Escolano Marta R. Costa-jussá José A. R. Fonollosa SSL 48 7 0 15 Oct 2018
Predictive Uncertainty through Quantization Bastiaan S. Veeling Rianne van den Berg Max Welling UQCV 60 1 0 12 Oct 2018
Piano Genie Chris Donahue Ian Simon Sander Dieleman 80 44 0 11 Oct 2018
NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation Hui Su Xiaoyu Shen Wenjie Li Dietrich Klakow 106 30 0 27 Sep 2018
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming B. V. Merrienboer D. Moldovan Alexander B. Wiltschko 63 31 0 25 Sep 2018
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer Gino Brunner Andres Konrad Yuyi Wang Roger Wattenhofer 76 133 0 20 Sep 2018
Symbolic Music Genre Transfer with CycleGAN Gino Brunner Yuyi Wang Roger Wattenhofer Sumu Zhao GAN 100 74 0 20 Sep 2018
Latent Space Optimal Transport for Generative Models Huidong Liu Yang Guo Na Lei Zhixin Shu S. Yau Dimitris Samaras X. Gu OT DRL 54 7 0 16 Sep 2018
Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural Recording Tong Wu Wenfeng Zhao E. Keefer Zhi-Xin Yang 23 49 0 14 Sep 2018
SCORES: Shape Composition with Recursive Substructure Priors Chenyang Zhu Kai Xu S. Chaudhuri Renjiao Yi Hao Zhang 3DPC 80 80 0 14 Sep 2018
Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi Tomoharu Iwata Yuki Yamanaka Masanori Yamada Satoshi Yagi DRL 107 65 0 14 Sep 2018
Hierarchical Quantized Representations for Script Generation Noah Weber L. Shekhar Niranjan Balasubramanian Nathanael Chambers BDL 51 32 0 28 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 112 16 0 05 Aug 2018
Variational Information Bottleneck on Vector Quantized Autoencoders Hanwei Wu M. Flierl DRL 59 5 0 02 Aug 2018
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis G. Henter Jaime Lorenzo-Trueba Xin Wang Junichi Yamagishi DRL SSL 94 61 0 30 Jul 2018
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer David Berthelot Colin Raffel Aurko Roy Ian Goodfellow 89 265 0 19 Jul 2018
Avoiding Latent Variable Collapse With Generative Skip Models Adji Bousso Dieng Yoon Kim Alexander M. Rush David M. Blei DRL 69 176 0 12 Jul 2018
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval Hanwei Wu M. Flierl SSL CML DRL 158 19 0 12 Jul 2018
Guided evolutionary strategies: Augmenting random search with surrogate gradients Niru Maheswaranathan Luke Metz George Tucker Dami Choi Jascha Narain Sohl-Dickstein 76 20 0 26 Jun 2018
The challenge of realistic music generation: modelling raw audio at scale Sander Dieleman Aaron van den Oord Karen Simonyan 100 186 0 26 Jun 2018
Autoregressive Quantile Networks for Generative Modeling Georg Ostrovski Will Dabney Rémi Munos DRL 133 87 0 14 Jun 2018
Gaussian mixture models with Wasserstein distance Benoit Gaujac Ilya Feige David Barber 48 9 0 12 Jun 2018
Spreading vectors for similarity search Alexandre Sablayrolles Matthijs Douze Cordelia Schmid Hervé Jégou MQ 152 122 0 08 Jun 2018
SOM-VAE: Interpretable Discrete Representation Learning on Time Series Vincent Fortuin Matthias Huser Francesco Locatello Heiko Strathmann Gunnar Rätsch BDL AI4TS 56 140 0 06 Jun 2018
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks Hirokazu Kameoka Takuhiro Kaneko Kou Tanaka Nobukatsu Hojo 77 374 0 06 Jun 2018
A New Framework for Machine Intelligence: Concepts and Prototype Abel Torres Montoya 52 0 0 06 Jun 2018
Theory and Experiments on Vector Quantized Autoencoders Aurko Roy Ashish Vaswani Arvind Neelakantan Niki Parmar 94 88 0 28 May 2018
Variational Inference for Data-Efficient Model Learning in POMDPs Sebastian Tschiatschek Kai Arulkumaran Jan Stühmer Katja Hofmann 55 15 0 23 May 2018