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2308.04268
Cited By
Teacher-Student Architecture for Knowledge Distillation: A Survey
8 August 2023
Chengming Hu
Xuan Li
Danyang Liu
Haolun Wu
Xi Chen
Ju Wang
Xue Liu
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Papers citing
"Teacher-Student Architecture for Knowledge Distillation: A Survey"
42 / 142 papers shown
Title
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild
Samuel Albanie
Arsha Nagrani
Andrea Vedaldi
Andrew Zisserman
CVBM
64
271
0
16 Aug 2018
Teacher Guided Architecture Search
P. Bashivan
Mark Tensen
J. DiCarlo
3DV
66
27
0
04 Aug 2018
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
351
10,356
0
10 Jul 2018
Modality Distillation with Multiple Stream Networks for Action Recognition
Nuno C. Garcia
Pietro Morerio
Vittorio Murino
71
184
0
19 Jun 2018
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
293
480
0
12 Jun 2018
Born Again Neural Networks
Tommaso Furlanello
Zachary Chase Lipton
Michael Tschannen
Laurent Itti
Anima Anandkumar
80
1,034
0
12 May 2018
Label Refinery: Improving ImageNet Classification through Label Progression
Hessam Bagherinezhad
Maxwell Horton
Mohammad Rastegari
Ali Farhadi
62
190
0
07 May 2018
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification
Chenrui Zhang
Yuxin Peng
SSL
71
56
0
26 Apr 2018
Developing Far-Field Speaker System Via Teacher-Student Learning
Jinyu Li
Rui Zhao
Zhuo Chen
Changliang Liu
Xiong Xiao
Guoli Ye
Jiawei Liu
46
56
0
14 Apr 2018
Learning Deep Representations with Probabilistic Knowledge Transfer
Nikolaos Passalis
Anastasios Tefas
63
412
0
28 Mar 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OOD
SSeg
149
1,547
0
28 Feb 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer
Jangho Kim
Seonguk Park
Nojun Kwak
77
551
0
14 Feb 2018
Progressive Neural Architecture Search
Chenxi Liu
Barret Zoph
Maxim Neumann
Jonathon Shlens
Wei Hua
Li Li
Li Fei-Fei
Alan Yuille
Jonathan Huang
Kevin Patrick Murphy
114
1,994
0
02 Dec 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
147
3,005
0
08 Nov 2017
Topology Adaptive Graph Convolutional Networks
Jian Du
Shanghang Zhang
Guanhang Wu
José M. F. Moura
S. Kar
GNN
90
304
0
28 Oct 2017
Data-Free Knowledge Distillation for Deep Neural Networks
Raphael Gontijo-Lopes
Stefano Fenu
Thad Starner
60
273
0
19 Oct 2017
Incremental Learning of Object Detectors without Catastrophic Forgetting
K. Shmelkov
Cordelia Schmid
Alahari Karteek
ObjD
82
520
0
23 Aug 2017
Large-Scale Domain Adaptation via Teacher-Student Learning
Jinyu Li
M. Seltzer
Xi Wang
Rui Zhao
Jiawei Liu
142
141
0
17 Aug 2017
Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net
Guorui Zhou
Ying Fan
Runpeng Cui
Weijie Bian
Xiaoqiang Zhu
Kun Gai
71
116
0
14 Aug 2017
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer
Yuntao Chen
Naiyan Wang
Zhaoxiang Zhang
FedML
102
223
0
05 Jul 2017
Teacher-Student Curriculum Learning
Tambet Matiisen
Avital Oliver
Taco S. Cohen
John Schulman
ODL
97
381
0
01 Jul 2017
Deep Mutual Learning
Ying Zhang
Tao Xiang
Timothy M. Hospedales
Huchuan Lu
FedML
153
1,654
0
01 Jun 2017
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning
Werner Zellinger
Thomas Grubinger
E. Lughofer
T. Natschläger
Susanne Saminger-Platz
OOD
105
578
0
28 Feb 2017
Knowledge Adaptation: Teaching to Adapt
Sebastian Ruder
Parsa Ghaffari
J. Breslin
CLL
TTA
56
53
0
07 Feb 2017
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
147
2,586
0
12 Dec 2016
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
374
7,561
0
02 Dec 2016
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Nicolas Papernot
Martín Abadi
Ulfar Erlingsson
Ian Goodfellow
Kunal Talwar
94
1,020
0
18 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
662
29,156
0
09 Sep 2016
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
216
6,162
0
01 Jul 2016
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
308
4,428
0
29 Jun 2016
Sequence-Level Knowledge Distillation
Yoon Kim
Alexander M. Rush
130
1,122
0
25 Jun 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai
Yi Li
Kaiming He
Jian Sun
ObjD
179
5,642
0
20 May 2016
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
Nicolas Papernot
Patrick McDaniel
Xi Wu
S. Jha
A. Swami
AAML
113
3,076
0
14 Nov 2015
Bidirectional LSTM-CRF Models for Sequence Tagging
Zhiheng Huang
Wenyuan Xu
Kai Yu
186
4,033
0
09 Aug 2015
Cross Modal Distillation for Supervision Transfer
Saurabh Gupta
Judy Hoffman
Jitendra Malik
120
538
0
02 Jul 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
528
62,377
0
04 Jun 2015
Bilinear CNNs for Fine-grained Visual Recognition
Tsung-Yu Lin
Aruni RoyChowdhury
Subhransu Maji
133
1,876
0
29 Apr 2015
Object Detection Networks on Convolutional Feature Maps
Shaoqing Ren
Kaiming He
Ross B. Girshick
Xinming Zhang
Jian Sun
ObjD
106
409
0
23 Apr 2015
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
364
19,733
0
09 Mar 2015
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
319
3,898
0
19 Dec 2014
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
131
1,965
0
26 Nov 2014
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
278
12,458
0
24 Jun 2012
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