Robust Training of Vector Quantized Bottleneck Models

Robust Training of Vector Quantized Bottleneck Models

18 May 2020

Guillaume Sanchez

Hans J. G. A. Dolfing

Tanel Alumäe

Antoine Laurent

Papers citing "Robust Training of Vector Quantized Bottleneck Models"

8 / 8 papers shown

Title
A Complexity-Based Theory of Compositionality Eric Elmoznino Thomas Jiralerspong Yoshua Bengio Guillaume Lajoie CoGe 61 4 0 18 Oct 2024
Restructuring Vector Quantization with the Rotation Trick Christopher Fifty Ronald G. Junkins Dennis Duan Aniketh Iger Jerry W. Liu Ehsan Amid Sebastian Thrun Christopher Ré LLMSV 45 11 0 08 Oct 2024
Balance of Number of Embedding and their Dimensions in Vector Quantization Hang Chen Sankepally Sainath Reddy Ziwei Chen Dianbo Liu 47 1 0 06 Jul 2024
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space Nabarun Goswami Yusuke Mukuta Tatsuya Harada 40 3 0 18 Mar 2024
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations Ahmed Khalil Robert Piechocki Raúl Santos-Rodríguez 15 2 0 13 Oct 2023
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization Rita Pucci C. Micheloni N. Martinel 19 0 0 02 Feb 2023
Generative Models for Improved Naturalness, Intelligibility, and Voicing of Whispered Speech Dominik Wagner Sebastian P. Bayerl H. A. C. Maruri Tobias Bocklet 19 7 0 04 Dec 2022
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 239 2,550 0 25 Jan 2016