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1503.02531
Cited By
Distilling the Knowledge in a Neural Network
9 March 2015
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
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Papers citing
"Distilling the Knowledge in a Neural Network"
27 / 327 papers shown
Title
DeeperGCN: All You Need to Train Deeper GCNs
Guohao Li
Chenxin Xiong
Ali K. Thabet
Guohao Li
GNN
107
436
0
13 Jun 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning
Tao R. Lin
Lingjing Kong
Sebastian U. Stich
Martin Jaggi
FedML
47
1,026
0
12 Jun 2020
SuperMix: Supervising the Mixing Data Augmentation
Ali Dabouei
Sobhan Soleymani
Fariborz Taherkhani
Nasser M. Nasrabadi
40
98
0
10 Mar 2020
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN
Can Peng
Kun-li Zhao
Brian C. Lovell
ObjD
35
110
0
09 Mar 2020
StyleGAN2 Distillation for Feed-forward Image Manipulation
Yuri Viazovetskyi
V. Ivashkin
Evgenii Kashin
174
136
0
07 Mar 2020
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
Zechun Liu
Zhiqiang Shen
Marios Savvides
Kwang-Ting Cheng
MQ
66
350
0
07 Mar 2020
ClusterFit: Improving Generalization of Visual Representations
Xueting Yan
Ishan Misra
Abhinav Gupta
Deepti Ghadiyaram
D. Mahajan
SSL
VLM
47
132
0
06 Dec 2019
Can Monolingual Pretrained Models Help Cross-Lingual Classification?
Zewen Chi
Li Dong
Furu Wei
Xian-Ling Mao
Heyan Huang
LRM
VLM
60
13
0
10 Nov 2019
Fast Structured Decoding for Sequence Models
Zhiqing Sun
Zhuohan Li
Haoqing Wang
Zi Lin
Di He
Zhihong Deng
50
122
0
25 Oct 2019
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
83
1,037
0
23 Oct 2019
Deep Learning at the Edge
Sahar Voghoei
N. Tonekaboni
Jason G. Wallace
H. Arabnia
68
41
0
22 Oct 2019
Convolutional Prototype Learning for Zero-Shot Recognition
Zhizhe Liu
Xingxing Zhang
Zhenfeng Zhu
Shuai Zheng
Yao Zhao
Jian Cheng
VLM
37
19
0
22 Oct 2019
Face Behavior a la carte: Expressions, Affect and Action Units in a Single Network
D. Kollias
V. Sharmanska
Ki-young Shin
CVBM
68
214
0
15 Oct 2019
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
Jinmian Ye
Linnan Wang
Guangxi Li
Di Chen
Shandian Zhe
Xinqi Chu
Zenglin Xu
62
132
0
14 Dec 2017
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Aaron van den Oord
Yazhe Li
Igor Babuschkin
Karen Simonyan
Oriol Vinyals
...
Alex Graves
Helen King
T. Walters
Dan Belov
Demis Hassabis
114
857
0
28 Nov 2017
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks
Hokchhay Tann
S. Hashemi
Iris Bahar
Sherief Reda
MQ
55
74
0
11 May 2017
Cross-lingual Distillation for Text Classification
Ruochen Xu
Yiming Yang
VLM
38
71
0
05 May 2017
Robustness to Adversarial Examples through an Ensemble of Specialists
Mahdieh Abbasi
Christian Gagné
AAML
38
109
0
22 Feb 2017
Collaborative Deep Reinforcement Learning
Kaixiang Lin
Shu Wang
Jiayu Zhou
38
21
0
19 Feb 2017
Visual Saliency Prediction Using a Mixture of Deep Neural Networks
Samuel F. Dodge
Lina Karam
FAtt
52
48
0
01 Feb 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit
N. Alldrin
Gal Chechik
Ivan Krasin
Abhinav Gupta
Serge J. Belongie
65
476
0
06 Jan 2017
Small-footprint Highway Deep Neural Networks for Speech Recognition
Liang Lu
Steve Renals
59
16
0
18 Oct 2016
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Nicolas Papernot
Martín Abadi
Ulfar Erlingsson
Ian Goodfellow
Kunal Talwar
45
1,009
0
18 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
745
14,454
0
07 Oct 2016
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition
Hui Ding
S. Kevin Zhou
Rama Chellappa
CVBM
60
363
0
21 Sep 2016
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAU
AAML
36
3,656
0
08 Feb 2016
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
356
7,650
0
03 Jul 2012
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