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Neural Discrete Representation Learning

2 November 2017

Papers citing "Neural Discrete Representation Learning"

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Title
Modal Uncertainty Estimation via Discrete Latent Representation Di Qiu L. Lui UQCV 47 5 0 25 Jul 2020
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference S. Rezaei-Shoshtari David Meger I. Sharf BDL DRL 46 2 0 22 Jul 2020
Word Representation for Rhythms Tongyu Lu Lucheng Yan Gus Xia 23 0 0 21 Jul 2020
Generalizing Variational Autoencoders with Hierarchical Empirical Bayes Wei Cheng Gregory Darnell Sohini Ramachandran Lorin Crawford BDL 13 2 0 20 Jul 2020
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation Kenan E. Ak N. Xu Zhe Lin Yilin Wang 85 13 0 20 Jul 2020
Relaxed-Responsibility Hierarchical Discrete VAEs M. Willetts Xenia Miscouridou Stephen J. Roberts Chris Holmes BDL DRL 97 5 0 14 Jul 2020
A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications Prateek Verma Alessandro Ilic Mezza C. Chafe C. Rottondi 20 22 0 14 Jul 2020
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks Yaniv Yacoby Weiwei Pan Finale Doshi-Velez CML DRL 110 26 0 14 Jul 2020
Vector-Quantized Timbre Representation Adrien Bitton P. Esling Tatsuya Harada 69 12 0 13 Jul 2020
Deep Retrieval: Learning A Retrievable Structure for Large-Scale Recommendations Weihao Gao Xiangjun Fan Chong-Jun Wang Jiankai Sun Kai Jia Wen Xiao Ruofan Ding Xingyan Bin Hui Yang Xiaobing Liu CML 45 22 0 12 Jul 2020
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks Jibin Wu Chenglin Xu Daquan Zhou Haizhou Li Kay Chen Tan 67 118 0 02 Jul 2020
A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks H. H. Mao BDL SSL 72 50 0 01 Jul 2020
Sliced Iterative Normalizing Flows B. Dai U. Seljak 91 37 0 01 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 85 22 0 01 Jul 2020
Prosodic Prominence and Boundaries in Sequence-to-Sequence Speech Synthesis Antti Suni Sofoklis Kakouros M. Vainio J. Šimko 71 18 0 29 Jun 2020
Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows Tomasz Kuśmierczyk Arto Klami BDL DRL 29 0 0 28 Jun 2020
Lattice Representation Learning Luis A. Lastras 44 1 0 24 Jun 2020
GIFnets: Differentiable GIF Encoding Framework Innfarn Yoo Xiyang Luo Yilin Wang Feng Yang P. Milanfar 58 4 0 24 Jun 2020
Discrete Few-Shot Learning for Pan Privacy Roei Gelbhart Benjamin I. P. Rubinstein 32 1 0 23 Jun 2020
Differentiable Segmentation of Sequences Erik Scharwächter Jonathan Lennartz Emmanuel Müller 71 2 0 23 Jun 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 120 32 0 22 Jun 2020
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects Bryan G. Cardenas Devanshu Arya D. K. Gupta DiffM 110 6 0 22 Jun 2020
Deep Residual Mixture Models Perttu Hämäläinen Martin Trapp Tuure Saloheimo Arno Solin 77 8 0 22 Jun 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations Alexei Baevski Henry Zhou Abdel-rahman Mohamed Michael Auli SSL 345 5,880 0 20 Jun 2020
Manifolds for Unsupervised Visual Anomaly Detection Louise Naud Alexander Lavin DRL 87 6 0 19 Jun 2020
Abstract Diagrammatic Reasoning with Multiplex Graph Networks Duo Wang M. Jamnik Pietro Lio 60 66 0 19 Jun 2020
Set Distribution Networks: a Generative Model for Sets of Images Shuangfei Zhai Walter A. Talbott Miguel Angel Bautista Carlos Guestrin J. Susskind GAN 56 2 0 18 Jun 2020
Latent Video Transformer Ruslan Rakhimov Denis Volkhonskiy Alexey Artemov Denis Zorin Evgeny Burnaev VGen 128 121 0 18 Jun 2020
A Tutorial on VAEs: From Bayes' Rule to Lossless Compression Ronald Yu BDL 62 24 0 18 Jun 2020
Density Deconvolution with Normalizing Flows Tim Dockhorn James A. Ritchie Yaoliang Yu Iain Murray DRL 68 5 0 16 Jun 2020
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression Changhee Lee M. Schaar OOD 62 53 0 15 Jun 2020
COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations Xavier Favory Konstantinos Drossos Tuomas Virtanen Xavier Serra 126 32 0 15 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 235 1,650 0 15 Jun 2020
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder Daya Guo Duyu Tang Nan Duan Jian Yin Daxin Jiang Ming Zhou DRL 39 10 0 15 Jun 2020
Exponential Tilting of Generative Models: Improving Sample Quality by Training and Sampling from Latent Energy Zhisheng Xiao Qing Yan Y. Amit DRL 58 8 0 15 Jun 2020
UWSpeech: Speech to Speech Translation for Unwritten Languages Chen Zhang Xu Tan Yi Ren Tao Qin Ke-jun Zhang Tie-Yan Liu 59 56 0 14 Jun 2020
A Generalised Linear Model Framework for $β$ -Variational Autoencoders based on Exponential Dispersion Families Robert Sicks R. Korn Stefanie Schwaar 86 12 0 11 Jun 2020
Discrete Latent Variable Representations for Low-Resource Text Classification Shuning Jin Sam Wiseman K. Stratos Karen Livescu BDL 69 15 0 11 Jun 2020
Deep generative models for musical audio synthesis M. Huzaifah L. Wyse 226 20 0 10 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 96 32 0 09 Jun 2020
Unsupervised Paraphrase Generation using Pre-trained Language Models Chaitra V. Hegde Shrikumar Patil LRM 66 39 0 09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 103 276 0 09 Jun 2020
Variational Variance: Simple, Reliable, Calibrated Heteroscedastic Noise Variance Parameterization Andrew Stirn David A. Knowles DRL 94 10 0 08 Jun 2020
tvGP-VAE: Tensor-variate Gaussian Process Prior Variational Autoencoder Alexander Campbell Pietro Lio BDL CML 91 9 0 08 Jun 2020
Improving Inference for Neural Image Compression Yibo Yang Robert Bamler Stephan Mandt 97 123 0 07 Jun 2020
VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net architecture Da-Yi Wu Yen-Hao Chen Hung-yi Lee 100 101 0 07 Jun 2020
Communication-Computation Trade-Off in Resource-Constrained Edge Inference Jiawei Shao Jun Zhang 63 115 0 03 Jun 2020
Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space Ke Yu Shyam Visweswaran Kayhan Batmanghelich BDL 39 29 0 01 Jun 2020
Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization Benjamin Milde Christian Biemann 25 1 0 29 May 2020
Quantifying the Complexity of Standard Benchmarking Datasets for Long-Term Human Trajectory Prediction Ronny Hug S. Becker Wolfgang Hubner Michael Arens 91 6 0 28 May 2020