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Neural Discrete Representation Learning

2 November 2017

Papers citing "Neural Discrete Representation Learning"

50 / 3,267 papers shown

Title
Speech-to-Singing Conversion based on Boundary Equilibrium GAN Da-Yi Wu Yi-Hsuan Yang GAN 74 8 0 28 May 2020
Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations Janek Ebbers Michael Kuhlmann Tobias Cord-Landwehr Reinhold Haeb-Umbach DRL CoGe SSL 58 4 0 26 May 2020
Transformer VQ-VAE for Unsupervised Unit Discovery and Speech Synthesis: ZeroSpeech 2020 Challenge Andros Tjandra S. Sakti Satoshi Nakamura 75 39 0 24 May 2020
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search Jaehyeon Kim Sungwon Kim Jungil Kong Sungroh Yoon 132 499 0 22 May 2020
Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge Benjamin van Niekerk Leanne Nortje Herman Kamper 126 117 0 19 May 2020
Robust Training of Vector Quantized Bottleneck Models A. Lancucki J. Chorowski Guillaume Sanchez R. Marxer Nanxin Chen Hans J. G. A. Dolfing Sameer Khurana Tanel Alumäe Antoine Laurent 86 60 0 18 May 2020
Vector-Quantized Autoregressive Predictive Coding Yu-An Chung Hao Tang James R. Glass SSL 68 115 0 17 May 2020
Mutual Information Maximization for Robust Plannable Representations Yiming Ding I. Clavera Pieter Abbeel 62 15 0 16 May 2020
Improved Prosody from Learned F0 Codebook Representations for VQ-VAE Speech Waveform Reconstruction Yi Zhao Haoyu Li Cheng-I Jeff Lai Jennifer Williams Erica Cooper Junichi Yamagishi 84 18 0 16 May 2020
DiscreTalk: Text-to-Speech as a Machine Translation Problem Tomoki Hayashi Shinji Watanabe 75 32 0 12 May 2020
Exploring TTS without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020) Takashi Morita H. Koda 77 8 0 11 May 2020
Lossy Compression with Distortion Constrained Optimization T. V. Rozendaal Guillaume Sautière Taco S. Cohen 73 13 0 08 May 2020
Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel Data Seung-won Park Doo-young Kim Myun-chul Joe 86 42 0 07 May 2020
Jukebox: A Generative Model for Music Prafulla Dhariwal Heewoo Jun Christine Payne Jong Wook Kim Alec Radford Ilya Sutskever VLM 219 758 0 30 Apr 2020
Adversarial Feature Learning and Unsupervised Clustering based Speech Synthesis for Found Data with Acoustic and Textual Noise Shan Yang Yuxuan Wang Lei Xie 66 10 0 28 Apr 2020
Learning Interpretable and Discrete Representations with Adversarial Training for Unsupervised Text Classification Yau-Shian Wang Hung-yi Lee Yun-Nung Chen 36 0 0 28 Apr 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away Qile Zhu Jianlin Su Wei Bi Xiaojiang Liu Xiyao Ma Xiaolin Li D. Wu BDL DRL 89 62 0 27 Apr 2020
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data Ruchit Rawal Prabhu Pradhan 42 1 0 26 Apr 2020
Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck Yang Zhao Ping Yu Suchismit Mahapatra Qinliang Su Changyou Chen DRL 54 2 0 22 Apr 2020
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation Gaëtan Hadjeres Léopold Crestel 82 18 0 21 Apr 2020
Discrete Variational Attention Models for Language Generation Xianghong Fang Haoli Bai Zenglin Xu Michael Lyu Irwin King DRL 60 0 0 21 Apr 2020
Variational Policy Propagation for Multi-agent Reinforcement Learning Chao Qu Hui Li Chang-rui Liu Junwu Xiong James Y. Zhang Wei Chu Weiqiang Wang Yuan Qi L. Song 55 0 0 19 Apr 2020
Depthwise Discrete Representation Learning Iordanis Fostiropoulos BDL 38 0 0 11 Apr 2020
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information K. Stratos Sam Wiseman SSL DRL 21 7 0 08 Apr 2020
Feature Quantization Improves GAN Training Yang Zhao Chunyuan Li Ping Yu Jianfeng Gao Changyou Chen MQ 87 47 0 05 Apr 2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip Yuxuan Song Minkai Xu Lantao Yu Hao Zhou Shuo Shao Yong Yu AAML 63 16 0 03 Apr 2020
Neural Communication Systems with Bandwidth-limited Channel Karen Ullrich Fabio Viola Danilo Jimenez Rezende 51 1 0 30 Mar 2020
A Short Note on Analyzing Sequence Complexity in Trajectory Prediction Benchmarks Ronny Hug S. Becker Wolfgang Hubner Michael Arens 15 4 0 27 Mar 2020
Hybrid Classification and Reasoning for Image-based Constraint Solving Maxime Mulamba Jayanta Mandi Rocsildes Canoy Tias Guns 80 11 0 24 Mar 2020
Leveraging Frequency Analysis for Deep Fake Image Recognition Joel Frank Thorsten Eisenhofer Lea Schonherr Asja Fischer D. Kolossa Thorsten Holz 180 564 0 19 Mar 2020
Blur, Noise, and Compression Robust Generative Adversarial Networks Takuhiro Kaneko Tatsuya Harada 94 17 0 17 Mar 2020
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 45 4 0 17 Mar 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network Joost R. van Amersfoort Lewis Smith Yee Whye Teh Y. Gal UQCV BDL 115 55 0 04 Mar 2020
Variational Auto-Encoder: not all failures are equal Michele Sebag Victor Berger Michèle Sebag DRL 42 4 0 04 Mar 2020
Learning to Hash with Graph Neural Networks for Recommender Systems Qiaoyu Tan Ninghao Liu Xing Zhao Hongxia Yang Jingren Zhou Helen Zhou 163 94 0 04 Mar 2020
VQ-DRAW: A Sequential Discrete VAE Alex Nichol BDL 45 3 0 03 Mar 2020
Learning Representations by Predicting Bags of Visual Words Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 120 118 0 27 Feb 2020
Max-Affine Spline Insights into Deep Generative Networks Randall Balestriero Sébastien Paris Richard Baraniuk DRL AI4CE 47 15 0 26 Feb 2020
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers Emiel Hoogeboom BDL 87 16 0 23 Feb 2020
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning Devansh Arpit Huan Wang Caiming Xiong R. Socher Yoshua Bengio SSL 44 2 0 20 Feb 2020
Regularized Autoencoders via Relaxed Injective Probability Flow Abhishek Kumar Ben Poole Kevin Patrick Murphy BDL TPM DRL 79 39 0 20 Feb 2020
Disentangled Speech Embeddings using Cross-modal Self-supervision Arsha Nagrani Joon Son Chung Samuel Albanie Andrew Zisserman SSL 99 88 0 20 Feb 2020
Hierarchical Quantized Autoencoders Will Williams Sam Ringer T. Ash John Hughes D. Macleod Jamie Dougherty BDL DRL 93 66 0 19 Feb 2020
Source Separation with Deep Generative Priors V. Jayaram John Thickstun 94 40 0 19 Feb 2020
SentenceMIM: A Latent Variable Language Model M. Livne Kevin Swersky David J. Fleet VLM 106 6 0 18 Feb 2020
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings Shweta Mahajan Iryna Gurevych Stefan Roth DRL 79 36 0 16 Feb 2020
Many-to-Many Voice Conversion using Conditional Cycle-Consistent Adversarial Networks Shindong Lee Bonggu Ko Keonnyeong Lee In-Chul Yoo Dongsuk Yook GAN 66 34 0 15 Feb 2020
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE Petru-Daniel Tudosiu Thomas Varsavsky Richard Shaw M. Graham P. Nachev Sebastien Ourselin Carole H. Sudre M. Jorge Cardoso MedIm 80 18 0 13 Feb 2020
Efficient And Scalable Neural Residual Waveform Coding With Collaborative Quantization Kai Zhen Mi Suk Lee Jongmo Sung Seungkwon Beack Minje Kim 98 20 0 13 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 147 155 0 13 Feb 2020