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Variational Information Bottleneck on Vector Quantized Autoencoders

Variational Information Bottleneck on Vector Quantized Autoencoders

Hanwei Wu
M. Flierl
    DRL
ArXiv (abs)PDFHTML

Papers citing "Variational Information Bottleneck on Vector Quantized Autoencoders"

5 / 5 papers shown
Title
Human-Guided Complexity-Controlled Abstractions
Human-Guided Complexity-Controlled Abstractions
Andi Peng
Mycal Tucker
Eoin M. Kenny
Noga Zaslavsky
Pulkit Agrawal
Julie A. Shah
65
1
0
26 Oct 2023
CQM: Curriculum Reinforcement Learning with a Quantized World Model
CQM: Curriculum Reinforcement Learning with a Quantized World Model
Seungjae Lee
Daesol Cho
Jonghae Park
H. J. Kim
85
9
0
26 Oct 2023
Vector Quantized Wasserstein Auto-Encoder
Vector Quantized Wasserstein Auto-Encoder
Tung-Long Vuong
Trung Le
He Zhao
Chuanxia Zheng
Mehrtash Harandi
Jianfei Cai
Dinh Q. Phung
DRL
68
20
0
12 Feb 2023
Implicit Feature Decoupling with Depthwise Quantization
Implicit Feature Decoupling with Depthwise Quantization
Iordanis Fostiropoulos
Barry W. Boehm
48
2
0
15 Mar 2022
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
86
60
0
18 May 2020