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Exploring Incompatible Knowledge Transfer in Few-shot Image Generation

Exploring Incompatible Knowledge Transfer in Few-shot Image Generation

15 April 2023
Yunqing Zhao
Chao Du
Milad Abdollahzadeh
Tianyu Pang
Min Lin
Shuicheng Yan
Ngai-Man Cheung
ArXiv (abs)PDFHTML

Papers citing "Exploring Incompatible Knowledge Transfer in Few-shot Image Generation"

44 / 44 papers shown
Title
System-status-aware Adaptive Network for Online Streaming Video
  Understanding
System-status-aware Adaptive Network for Online Streaming Video Understanding
Lin Geng Foo
Jia Gong
Zhipeng Fan
Jing Liu
AI4TS
66
15
0
28 Mar 2023
DiffPose: Toward More Reliable 3D Pose Estimation
DiffPose: Toward More Reliable 3D Pose Estimation
Jia Gong
Lin Geng Foo
Zhipeng Fan
Qiuhong Ke
Hossein Rahmani
Jing Liu
DiffM
104
120
0
30 Nov 2022
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action
  Recognition
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition
Tianjiao Li
Lin Geng Foo
Qiuhong Ke
Hossein Rahmani
Anran Wang
Jinghua Wang
Jing Liu
67
23
0
03 Sep 2022
Revisiting Label Smoothing and Knowledge Distillation Compatibility:
  What was Missing?
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Yunqing Zhao
Ngai-Man Cheung
143
44
0
29 Jun 2022
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable
  Facial Editing
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
Yanbo Xu
Yueqin Yin
Liming Jiang
Qianyi Wu
Chengyao Zheng
Chen Change Loy
Bo Dai
Wayne Wu
70
53
0
31 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
298
30,150
0
01 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Percy Liang
OODD
129
683
0
21 Feb 2022
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui
Miao Yin
Yi Xie
Huy Phan
S. Zonouz
Bo Yuan
VLM
92
134
0
26 Oct 2021
High-Fidelity GAN Inversion for Image Attribute Editing
High-Fidelity GAN Inversion for Image Attribute Editing
Tengfei Wang
Yong Zhang
Yanbo Fan
Jue Wang
Qifeng Chen
DiffM
259
250
0
14 Sep 2021
Alias-Free Generative Adversarial Networks
Alias-Free Generative Adversarial Networks
Tero Karras
M. Aittala
S. Laine
Erik Härkönen
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
177
1,601
0
23 Jun 2021
Data-Efficient Instance Generation from Instance Discrimination
Data-Efficient Instance Generation from Instance Discrimination
Ceyuan Yang
Yujun Shen
Yinghao Xu
Bolei Zhou
71
83
0
08 Jun 2021
Few-shot Image Generation via Cross-domain Correspondence
Few-shot Image Generation via Cross-domain Correspondence
Utkarsh Ojha
Yijun Li
Jingwan Lu
Alexei A. Efros
Yong Jae Lee
Eli Shechtman
Richard Y. Zhang
115
263
0
13 Apr 2021
Convolutional Neural Network Pruning with Structural Redundancy
  Reduction
Convolutional Neural Network Pruning with Structural Redundancy Reduction
Zehao Wang
Chengcheng Li
Xiangyang Wang
3DPC
70
160
0
08 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data
Regularizing Generative Adversarial Networks under Limited Data
Hung-Yu Tseng
Lu Jiang
Ce Liu
Ming-Hsuan Yang
Weilong Yang
GAN
111
145
0
07 Apr 2021
UAV-Human: A Large Benchmark for Human Behavior Understanding with
  Unmanned Aerial Vehicles
UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
Tianjiao Li
Jun Liu
Wei Emma Zhang
Yun Ni
Wenqian Wang
Zhiheng Li
AI4TS
72
192
0
02 Apr 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
314
725
0
31 Jan 2021
Few-shot Image Generation with Elastic Weight Consolidation
Few-shot Image Generation with Elastic Weight Consolidation
Yijun Li
Richard Y. Zhang
Jingwan Lu
Eli Shechtman
3DH
94
169
0
04 Dec 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification
Explanation-Guided Training for Cross-Domain Few-Shot Classification
Jiamei Sun
Sebastian Lapuschkin
Wojciech Samek
Yunqing Zhao
Ngai-Man Cheung
Alexander Binder
69
89
0
17 Jul 2020
APQ: Joint Search for Network Architecture, Pruning and Quantization
  Policy
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Tianzhe Wang
Kuan-Chieh Wang
Han Cai
Ji Lin
Zhijian Liu
Song Han
MQ
78
176
0
15 Jun 2020
GAN Memory with No Forgetting
GAN Memory with No Forgetting
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
56
122
0
13 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
170
1,887
0
11 Jun 2020
In-Domain GAN Inversion for Real Image Editing
In-Domain GAN Inversion for Real Image Editing
Jiapeng Zhu
Yujun Shen
Deli Zhao
Bolei Zhou
DiffM
88
642
0
31 Mar 2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Sangwoo Mo
Minsu Cho
Jinwoo Shin
89
215
0
25 Feb 2020
MineGAN: effective knowledge transfer from GANs to target domains with
  few images
MineGAN: effective knowledge transfer from GANs to target domains with few images
Yaxing Wang
Abel Gonzalez-Garcia
David Berga
Luis Herranz
Fahad Shahbaz Khan
Joost van de Weijer
GAN
49
189
0
11 Dec 2019
StarGAN v2: Diverse Image Synthesis for Multiple Domains
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi
Youngjung Uh
Jaejun Yoo
Jung-Woo Ha
3DH
131
1,756
0
04 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
321
5,829
0
03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
213
12,136
0
13 Nov 2019
A Comprehensive Survey on Transfer Learning
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
188
4,474
0
07 Nov 2019
Quantifying the Carbon Emissions of Machine Learning
Quantifying the Carbon Emissions of Machine Learning
Alexandre Lacoste
A. Luccioni
Victor Schmidt
Thomas Dandres
112
712
0
21 Oct 2019
Task2Vec: Task Embedding for Meta-Learning
Task2Vec: Task Embedding for Meta-Learning
Alessandro Achille
Michael Lam
Rahul Tewari
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Stefano Soatto
Pietro Perona
SSL
80
315
0
10 Feb 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Ryan Webster
Julien Rabin
Loïc Simon
F. Jurie
GAN
65
99
0
09 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
619
10,590
0
12 Dec 2018
Explicit Inductive Bias for Transfer Learning with Convolutional
  Networks
Explicit Inductive Bias for Transfer Learning with Convolutional Networks
Xuhong Li
Yves Grandvalet
Franck Davoine
SSL
89
355
0
05 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
384
11,920
0
11 Jan 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
176
1,501
0
04 Jan 2018
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDLSSLOCL
230
5,079
0
02 Nov 2017
Network Dissection: Quantifying Interpretability of Deep Visual
  Representations
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau
Bolei Zhou
A. Khosla
A. Oliva
Antonio Torralba
MILMFAtt
158
1,523
1
19 Apr 2017
Overcoming catastrophic forgetting in neural networks
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
7,572
0
02 Dec 2016
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
316
6,709
0
08 Jun 2015
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
322
4,197
0
21 May 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
236
8,353
0
06 Nov 2014
OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
155
5,008
0
21 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
314
7,317
0
20 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,904
0
12 Nov 2013
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