VQDNA: Unleashing the Power of Vector Quantization for Multi-Species
Genomic Sequence Modeling

VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling

13 May 2024

Siyuan Li

Zedong Wang

Zicheng Liu

Cheng Tan

Stan Z. Li

Papers citing "VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling"

6 / 6 papers shown

Title
Life-Code: Central Dogma Modeling with Multi-Omics Sequence Unification Zicheng Liu Siyuan Li Zhiyuan Chen Lei Xin Fang Wu Chang Yu Qirong Yang Yucheng Guo Y. Yang Stan Z. Li SyDa AI4CE 87 0 0 11 Feb 2025
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,730 0 04 Mar 2022
Autoregressive Image Generation using Residual Quantization Doyup Lee Chiheon Kim Saehoon Kim Minsu Cho Wook-Shin Han VGen 168 324 0 03 Mar 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 242 690 0 27 Aug 2021
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 190 3,480 0 20 Aug 2019