Co-advise: Cross Inductive Bias Distillation

Co-advise: Cross Inductive Bias Distillation

23 June 2021

Hang Zhao

Papers citing "Co-advise: Cross Inductive Bias Distillation"

7 / 7 papers shown

Title
Rethinking Multi-view Representation Learning via Distilled Disentangling Guanzhou Ke Bo Wang Xiaoli Wang Shengfeng He 32 3 0 16 Mar 2024
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning Cheng Liang Donghua Yang Zhiyu Liang Hongzhi Wang Zheng Liang Xiyang Zhang Jianfeng Huang AI4TS 85 1 0 09 Dec 2023
Efficiency 360: Efficient Vision Transformers Badri N. Patro Vijay Srinivas Agneeswaran 19 6 0 16 Feb 2023
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models Sucheng Ren Fangyun Wei Zheng-Wei Zhang Han Hu 22 34 0 03 Jan 2023
Shunted Self-Attention via Multi-Scale Token Aggregation Sucheng Ren Daquan Zhou Shengfeng He Jiashi Feng Xinchao Wang ViT 25 222 0 30 Nov 2021
CMT: Convolutional Neural Networks Meet Vision Transformers Jianyuan Guo Kai Han Han Wu Yehui Tang Chunjing Xu Yunhe Wang Chang Xu ViT 337 500 0 13 Jul 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,592 0 04 May 2021