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2008.12094
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MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation
27 August 2020
Benlin Liu
Yongming Rao
Jiwen Lu
Jie Zhou
Cho-Jui Hsieh
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Papers citing
"MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation"
10 / 10 papers shown
Title
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs
Yi Sun
Xin Xu
Jian Li
Xiaochang Hu
Yifei Shi
L. Zeng
37
2
0
31 May 2023
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation
Yong Wu
Shekhor Chanda
M. Hosseinzadeh
Zhi Liu
Yang Wang
VLM
29
7
0
18 Oct 2022
Adaptive Token Sampling For Efficient Vision Transformers
Mohsen Fayyaz
Soroush Abbasi Koohpayegani
F. Jafari
Sunando Sengupta
Hamid Reza Vaezi Joze
Eric Sommerlade
Hamed Pirsiavash
Juergen Gall
ViT
16
148
0
30 Nov 2021
LGD: Label-guided Self-distillation for Object Detection
Peizhen Zhang
Zijian Kang
Tong Yang
Xinming Zhang
N. Zheng
Jian Sun
ObjD
106
30
0
23 Sep 2021
Learning to Teach with Student Feedback
Yitao Liu
Tianxiang Sun
Xipeng Qiu
Xuanjing Huang
VLM
23
6
0
10 Sep 2021
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Yongming Rao
Wenliang Zhao
Benlin Liu
Jiwen Lu
Jie Zhou
Cho-Jui Hsieh
ViT
34
670
0
03 Jun 2021
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation
Yanbo Wang
Shaohui Lin
Yanyun Qu
Haiyan Wu
Zhizhong Zhang
Yuan Xie
Angela Yao
SupR
28
53
0
25 May 2021
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens
Zhaohui Yang
Yunhe Wang
Xinghao Chen
Jianyuan Guo
Wei Zhang
Chao Xu
Chunjing Xu
Dacheng Tao
Chang Xu
39
17
0
29 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
487
11,727
0
09 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
312
10,237
0
16 Nov 2016
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