ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1810.08126
  4. Cited By
KTAN: Knowledge Transfer Adversarial Network

KTAN: Knowledge Transfer Adversarial Network

18 October 2018
Peiye Liu
Wu Liu
Huadong Ma
Tao Mei
Mingoo Seok
    GAN
ArXivPDFHTML

Papers citing "KTAN: Knowledge Transfer Adversarial Network"

26 / 26 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
219
30,089
0
01 Mar 2022
MaskRNN: Instance Level Video Object Segmentation
MaskRNN: Instance Level Video Object Segmentation
Yuan-Ting Hu
Jia-Bin Huang
Alex Schwing
VOS
54
183
0
29 Mar 2018
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
Gao Huang
Shichen Liu
Laurens van der Maaten
Kilian Q. Weinberger
85
796
0
25 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng
Duo Wang
Pan Zhou
Zhang Tao
70
1,094
0
23 Oct 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
168
5,595
0
21 Jul 2017
Selective Classification for Deep Neural Networks
Selective Classification for Deep Neural Networks
Yonatan Geifman
Ran El-Yaniv
CVBM
90
526
0
23 May 2017
Deep Descriptor Transforming for Image Co-Localization
Deep Descriptor Transforming for Image Co-Localization
Xiu-Shen Wei
Chen-Da Liu-Zhang
Yao Li
Chen-Wei Xie
Jianxin Wu
Chunhua Shen
Zhi Zhou
VLM
73
36
0
08 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,781
0
17 Apr 2017
Large-Scale Evolution of Image Classifiers
Large-Scale Evolution of Image Classifiers
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
116
1,637
0
03 Mar 2017
Evolving Deep Neural Networks
Evolving Deep Neural Networks
Risto Miikkulainen
J. Liang
Elliot Meyerson
Aditya Rawal
Daniel Fink
...
B. Raju
Hormoz Shahrzad
Arshak Navruzyan
Nigel P. Duffy
Babak Hodjat
83
888
0
01 Mar 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
382
1,050
0
10 Feb 2017
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
113
2,569
0
12 Dec 2016
Associative Embedding: End-to-End Learning for Joint Detection and
  Grouping
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
Alejandro Newell
Zhiao Huang
Jia Deng
83
920
0
16 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
416
5,367
0
05 Nov 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
186
3,692
0
31 Aug 2016
Learning Attributes Equals Multi-Source Domain Generalization
Learning Attributes Equals Multi-Source Domain Generalization
Chuang Gan
Tianbao Yang
Boqing Gong
OOD
185
197
0
03 May 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
324
10,172
0
16 Mar 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
161
1,349
0
08 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.8K
193,426
0
10 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
227
8,821
0
01 Oct 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
288
25,008
0
30 Apr 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
300
19,580
0
09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
409
43,234
0
11 Feb 2015
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
268
3,870
0
19 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.3K
100,213
0
04 Sep 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
448
15,861
0
12 Nov 2013
1