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Theory and Experiments on Vector Quantized Autoencoders

Theory and Experiments on Vector Quantized Autoencoders

28 May 2018
Aurko Roy
Ashish Vaswani
Arvind Neelakantan
Niki Parmar
ArXivPDFHTML

Papers citing "Theory and Experiments on Vector Quantized Autoencoders"

17 / 17 papers shown
Title
Balance of Number of Embedding and their Dimensions in Vector
  Quantization
Balance of Number of Embedding and their Dimensions in Vector Quantization
Hang Chen
Sankepally Sainath Reddy
Ziwei Chen
Dianbo Liu
51
1
0
06 Jul 2024
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space
Nabarun Goswami
Yusuke Mukuta
Tatsuya Harada
40
4
0
18 Mar 2024
Neural Categorical Priors for Physics-Based Character Control
Neural Categorical Priors for Physics-Based Character Control
Qing Zhu
He Zhang
Mengting Lan
Lei Han
29
32
0
14 Aug 2023
Generative Models for Improved Naturalness, Intelligibility, and Voicing
  of Whispered Speech
Generative Models for Improved Naturalness, Intelligibility, and Voicing of Whispered Speech
Dominik Wagner
Sebastian P. Bayerl
H. A. C. Maruri
Tobias Bocklet
24
7
0
04 Dec 2022
Choreographer: Learning and Adapting Skills in Imagination
Choreographer: Learning and Adapting Skills in Imagination
Pietro Mazzaglia
Tim Verbelen
Bart Dhoedt
Alexandre Lacoste
Sai Rajeswar
29
22
0
23 Nov 2022
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine
  Translation
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation
Chenze Shao
Yang Feng
38
20
0
08 Oct 2022
Global Context with Discrete Diffusion in Vector Quantised Modelling for
  Image Generation
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
Minghui Hu
Yujie Wang
Tat-Jen Cham
Jianfei Yang
P.N.Suganthan
DiffM
18
41
0
03 Dec 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling
Discrete Auto-regressive Variational Attention Models for Text Modeling
Xianghong Fang
Haoli Bai
Jian Li
Zenglin Xu
Michael Lyu
Irwin King
40
3
0
16 Jun 2021
Extractive Opinion Summarization in Quantized Transformer Spaces
Extractive Opinion Summarization in Quantized Transformer Spaces
Stefanos Angelidis
Reinald Kim Amplayo
Yoshihiko Suhara
Xiaolan Wang
Mirella Lapata
MQ
31
110
0
08 Dec 2020
Direct Evolutionary Optimization of Variational Autoencoders With Binary
  Latents
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents
E. Guiraud
Jakob Drefs
Jörg Lücke
DRL
40
3
0
27 Nov 2020
Robust Training of Vector Quantized Bottleneck Models
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
29
58
0
18 May 2020
Fast Structured Decoding for Sequence Models
Fast Structured Decoding for Sequence Models
Zhiqing Sun
Zhuohan Li
Haoqing Wang
Zi Lin
Di He
Zhihong Deng
27
122
0
25 Oct 2019
Unsupervised Paraphrasing without Translation
Unsupervised Paraphrasing without Translation
Aurko Roy
David Grangier
BDL
LRM
11
61
0
29 May 2019
Quantization-Based Regularization for Autoencoders
Quantization-Based Regularization for Autoencoders
Hanwei Wu
M. Flierl
DRL
16
2
0
27 May 2019
Neural Joint Source-Channel Coding
Neural Joint Source-Channel Coding
Kristy Choi
Kedar Tatwawadi
Aditya Grover
Tsachy Weissman
Stefano Ermon
13
38
0
19 Nov 2018
Learning Product Codebooks using Vector Quantized Autoencoders for Image
  Retrieval
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval
Hanwei Wu
M. Flierl
SSL
CML
DRL
29
19
0
12 Jul 2018
Navigating with Graph Representations for Fast and Scalable Decoding of
  Neural Language Models
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models
Minjia Zhang
Xiaodong Liu
Wenhan Wang
Jianfeng Gao
Yuxiong He
23
30
0
11 Jun 2018
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