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Distilling the Knowledge in a Neural Network

Distilling the Knowledge in a Neural Network

9 March 2015
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
    FedML
ArXivPDFHTML

Papers citing "Distilling the Knowledge in a Neural Network"

27 / 327 papers shown
Title
DeeperGCN: All You Need to Train Deeper GCNs
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
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
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
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
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
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
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?
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
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
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
83
1,037
0
23 Oct 2019
Deep Learning at the Edge
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
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
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
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
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
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
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
Robustness to Adversarial Examples through an Ensemble of Specialists
Mahdieh Abbasi
Christian Gagné
AAML
38
109
0
22 Feb 2017
Collaborative Deep Reinforcement Learning
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
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
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
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
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
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
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
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
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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