SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization

16 May 2022

Papers citing "SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization"

9 / 9 papers shown

Title
Cube: A Roblox View of 3D Intelligence Foundation AI Team Roblox Kiran Bhat Nishchaie Khanna Karun Channa Tinghui Zhou ... Kyle Price Steve Han Yiqing Wang A. Singh David Baszucki 68 0 0 19 Mar 2025
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
Using High-Level Patterns to Estimate How Humans Predict a Robot will Behave Sagar Parekh Lauren Bramblett Nicola Bezzo Dylan P. Losey 34 0 0 20 Sep 2024
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 Nabarun Goswami Yusuke Mukuta Tatsuya Harada 40 4 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
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport Vy Vo Trung Le L. Vuong He Zhao Edwin V. Bonilla Dinh Q. Phung OT 34 4 0 25 May 2023
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,805 0 24 Feb 2021
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,553 0 25 Jan 2016