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Neural Discrete Representation Learning

2 November 2017

Papers citing "Neural Discrete Representation Learning"

50 / 3,267 papers shown

Title
A Survey on Visual Transformer Kai Han Yunhe Wang Hanting Chen Xinghao Chen Jianyuan Guo ... Chunjing Xu Yixing Xu Zhaohui Yang Yiman Zhang Dacheng Tao ViT 239 2,294 0 23 Dec 2020
Motif-Driven Contrastive Learning of Graph Representations Shichang Zhang Ziniu Hu Arjun Subramonian Yizhou Sun SSL 78 10 0 23 Dec 2020
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning Spyros Gidaris Andrei Bursuc Gilles Puy N. Komodakis Matthieu Cord P. Pérez SSL 102 71 0 21 Dec 2020
Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning Jerry Zikun Chen S. Yu Haoran Wang 444 5 0 18 Dec 2020
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 148 3,016 0 17 Dec 2020
The effectiveness of unsupervised subword modeling with autoregressive and cross-lingual phone-aware networks Siyuan Feng O. Scharenborg SSL 56 3 0 17 Dec 2020
Computational principles of intelligence: learning and reasoning with neural networks Abel Torres Montoya PINN AI4CE 40 1 0 17 Dec 2020
Planning from Pixels in Atari with Learned Symbolic Representations Andrea Dittadi Frederik K. Drachmann Thomas Bolander 94 11 0 16 Dec 2020
Unsupervised Learning of Global Factors in Deep Generative Models I. Peis Pablo M. Olmos Antonio Artés-Rodríguez BDL DRL 77 8 0 15 Dec 2020
Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks Herman Kamper Benjamin van Niekerk SSL MQ 91 36 0 14 Dec 2020
Anomaly detection through latent space restoration using vector-quantized variational autoencoders Sergio Naval Marimont G. Tarroni DRL 180 59 0 12 Dec 2020
DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization Shaoshi Ling Yuzong Liu 88 107 0 11 Dec 2020
Long Term Motion Prediction Using Keyposes Sena Kiciroglu Wei Wang Mathieu Salzmann Pascal Fua 3DH 133 9 0 08 Dec 2020
I'm Sorry for Your Loss: Spectrally-Based Audio Distances Are Bad at Pitch Joseph P. Turian Max Henry 57 31 0 08 Dec 2020
Bayesian Image Reconstruction using Deep Generative Models Razvan Marinescu Daniel Moyer Polina Golland OOD DiffM 116 41 0 08 Dec 2020
Extractive Opinion Summarization in Quantized Transformer Spaces Stefanos Angelidis Reinald Kim Amplayo Yoshihiko Suhara Xiaolan Wang Mirella Lapata MQ 163 111 0 08 Dec 2020
Multi-Instrumentalist Net: Unsupervised Generation of Music from Body Movements Kun Su Xiulong Liu Eli Shlizerman 96 29 0 07 Dec 2020
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation Won-Dong Jang D. Wei Xingxuan Zhang B. Leahy Helen Y Yang James Tompkin D. Ben-Yosef D. Needleman Hanspeter Pfister 70 16 0 02 Dec 2020
Mutual Information Constraints for Monte-Carlo Objectives Gábor Melis András Gyorgy Phil Blunsom 81 1 0 01 Dec 2020
Unpaired Image-to-Image Translation via Latent Energy Transport Yang Zhao Changyou Chen 87 28 0 01 Dec 2020
Latent Programmer: Discrete Latent Codes for Program Synthesis Joey Hong David Dohan Rishabh Singh Charles Sutton Manzil Zaheer 131 23 0 01 Dec 2020
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents E. Guiraud Jakob Drefs Jörg Lücke DRL 89 3 0 27 Nov 2020
Neural Representations for Modeling Variation in Speech Martijn Bartelds Wietse de Vries Faraz Sanal Caitlin Richter M. Liberman Martijn B. Wieling SSL DRL 48 23 0 25 Nov 2020
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning Kamil Deja Pawel Wawrzyñski Daniel Marczak Wojciech Masarczyk Tomasz Trzciñski SyDa 61 9 0 25 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 88 72 0 24 Nov 2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning Avi Singh Huihan Liu G. Zhou Albert Yu Nicholas Rhinehart Sergey Levine OffRL OnRL 99 146 0 19 Nov 2020
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks L. N. Darlow Stanisław Jastrzębski Amos Storkey 141 24 0 19 Nov 2020
End-To-End Dilated Variational Autoencoder with Bottleneck Discriminative Loss for Sound Morphing -- A Preliminary Study Matteo Lionello Hendrik Purwins 65 0 0 19 Nov 2020
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language Hassan Akbari Hamid Palangi Jianwei Yang Sudha Rao Asli Celikyilmaz Roland Fernandez P. Smolensky Jianfeng Gao Shih-Fu Chang 106 3 0 18 Nov 2020
Optimizing voice conversion network with cycle consistency loss of speaker identity Hongqiang Du Xiaohai Tian Lei Xie Haizhou Li 57 18 0 17 Nov 2020
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions Shulei Ji Jing Luo Xinyu Yang MGen 61 126 0 13 Nov 2020
Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis C. Chien Hung-yi Lee 100 36 0 12 Nov 2020
Testing for Typicality with Respect to an Ensemble of Learned Distributions F. Laine Claire Tomlin 63 0 0 11 Nov 2020
Semi-supervised Learning for Singing Synthesis Timbre J. Bonada Merlijn Blaauw 56 4 0 05 Nov 2020
A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery Bolaji Yusuf Lucas Ondel L. Burget J. Černocký Murat Saraclar 64 12 0 04 Nov 2020
Paralinguistic Privacy Protection at the Edge Ranya Aloufi Hamed Haddadi David E. Boyle 72 14 0 04 Nov 2020
Mixing Consistent Deep Clustering D. Lutscher Ali el Hassouni M. Stol Mark Hoogendoorn SSL 21 2 0 03 Nov 2020
CVC: Contrastive Learning for Non-parallel Voice Conversion Tingle Li Yichen Liu Chenxu Hu Hang Zhao DRL 100 13 0 02 Nov 2020
Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies Alexander H. Liu Yu-An Chung James R. Glass SSL 100 88 0 01 Nov 2020
AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization Yen-Hao Chen Da-Yi Wu Tsung-Han Wu Hung-yi Lee 118 108 0 31 Oct 2020
GENs: Generative Encoding Networks Surojit Saha Shireen Y. Elhabian Ross T. Whitaker GAN 65 9 0 28 Oct 2020
Scaling Laws for Autoregressive Generative Modeling T. Henighan Jared Kaplan Mor Katz Mark Chen Christopher Hesse ... Nick Ryder Daniel M. Ziegler John Schulman Dario Amodei Sam McCandlish 169 434 0 28 Oct 2020
Spiking Neural Networks -- Part III: Neuromorphic Communications N. Skatchkovsky Hyeryung Jang Osvaldo Simeone 66 12 0 27 Oct 2020
Unsupervised Learning of Disentangled Speech Content and Style Representation Andros Tjandra Ruoming Pang Yu Zhang Shigeki Karita BDL DRL 80 15 0 24 Oct 2020
A Comparison of Discrete Latent Variable Models for Speech Representation Learning Henry Zhou Alexei Baevski Michael Auli DRL 67 10 0 24 Oct 2020
Representation Learning for High-Dimensional Data Collection under Local Differential Privacy Alex Mansbridge G. Barbour Davide Piras Michael Murray Christopher Frye Ilya Feige David Barber 67 1 0 23 Oct 2020
A Framework for Generative and Contrastive Learning of Audio Representations Prateek Verma J. Smith SSL 79 18 0 22 Oct 2020
Learning Speaker Embedding from Text-to-Speech Jaejin Cho Piotr Żelasko Jesus Villalba Shinji Watanabe Najim Dehak 68 11 0 21 Oct 2020
Learning Disentangled Phone and Speaker Representations in a Semi-Supervised VQ-VAE Paradigm Jennifer Williams Yi Zhao Erica Cooper Junichi Yamagishi SSL 86 23 0 21 Oct 2020
Towards End-to-End In-Image Neural Machine Translation Elman Mansimov Mitchell Stern Mengzhao Chen Orhan Firat Jakob Uszkoreit Puneet Jain 83 26 0 20 Oct 2020