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Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
v1v2 (latest)

Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion

18 December 2019
Hongxu Yin
Pavlo Molchanov
Zhizhong Li
J. Álvarez
Arun Mallya
Derek Hoiem
N. Jha
Jan Kautz
ArXiv (abs)PDFHTMLGithub (504★)

Papers citing "Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion"

50 / 354 papers shown
Title
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale
  From A New Perspective
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
Zeyuan Yin
Eric P. Xing
Zhiqiang Shen
DD
101
83
0
22 Jun 2023
Data-Free Backbone Fine-Tuning for Pruned Neural Networks
Data-Free Backbone Fine-Tuning for Pruned Neural Networks
Adrian Holzbock
Achyut Hegde
Klaus C. J. Dietmayer
Vasileios Belagiannis
52
0
0
22 Jun 2023
Categories of Response-Based, Feature-Based, and Relation-Based
  Knowledge Distillation
Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation
Chuanguang Yang
Xinqiang Yu
Zhulin An
Yongjun Xu
VLMOffRL
179
26
0
19 Jun 2023
Your Room is not Private: Gradient Inversion Attack on Reinforcement
  Learning
Your Room is not Private: Gradient Inversion Attack on Reinforcement Learning
Miao Li
Wenhao Ding
Ding Zhao
AAML
55
0
0
15 Jun 2023
Heterogeneous Continual Learning
Heterogeneous Continual Learning
Divyam Madaan
Hongxu Yin
Wonmin Byeon
Jan Kautz
Pavlo Molchanov
CLL
58
5
0
14 Jun 2023
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via
  Restricted Adversarial Distillation
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation
Zhicong Yan
Shenghong Li
Ruijie Zhao
Yuan Tian
Yuanyuan Zhao
AAML
69
12
0
13 Jun 2023
Deep Classifier Mimicry without Data Access
Deep Classifier Mimicry without Data Access
Steven Braun
Martin Mundt
Kristian Kersting
DiffM
50
4
0
03 Jun 2023
Incremental Learning for Heterogeneous Structure Segmentation in Brain
  Tumor MRI
Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
Xiaofeng Liu
Helen A. Shih
Fangxu Xing
E. Santarnecchi
Xiaofeng Liu
Jonghye Woo
CLL
84
5
0
30 May 2023
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
Zechun Liu
Barlas Oğuz
Changsheng Zhao
Ernie Chang
Pierre Stock
Yashar Mehdad
Yangyang Shi
Raghuraman Krishnamoorthi
Vikas Chandra
MQ
111
208
0
29 May 2023
Is Synthetic Data From Diffusion Models Ready for Knowledge
  Distillation?
Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?
Zheng Li
Yuxuan Li
Penghai Zhao
Renjie Song
Xiang Li
Jian Yang
92
20
0
22 May 2023
Lion: Adversarial Distillation of Proprietary Large Language Models
Lion: Adversarial Distillation of Proprietary Large Language Models
Yuxin Jiang
Chunkit Chan
Yin Hua
Wei Wang
ALM
103
25
0
22 May 2023
Collaborative Chinese Text Recognition with Personalized Federated
  Learning
Collaborative Chinese Text Recognition with Personalized Federated Learning
Shangchao Su
Haiyang Yu
Bin Li
Xiangyang Xue
FedML
53
0
0
09 May 2023
BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
Kishaan Jeeveswaran
Prashant Shivaram Bhat
Bahram Zonooz
Elahe Arani
CLL
84
22
0
08 May 2023
Perception Imitation: Towards Synthesis-free Simulator for Autonomous
  Vehicles
Perception Imitation: Towards Synthesis-free Simulator for Autonomous Vehicles
Xiaoliang Ju
Yiyang Sun
Yiming Hao
Yikang Li
Yu Qiao
Hongsheng Li
49
1
0
19 Apr 2023
ID2image: Leakage of non-ID information into face descriptors and
  inversion from descriptors to images
ID2image: Leakage of non-ID information into face descriptors and inversion from descriptors to images
Mingrui Li
W. Smith
P. Huber
CVBMGAN
35
2
0
15 Apr 2023
Continual Source-Free Unsupervised Domain Adaptation
Continual Source-Free Unsupervised Domain Adaptation
Waqar Ahmed
Pietro Morerio
Vittorio Murino
TTACLL
83
2
0
14 Apr 2023
MASIL: Towards Maximum Separable Class Representation for Few Shot Class
  Incremental Learning
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning
Anant Khandelwal
CLL
64
0
0
08 Apr 2023
Projected Latent Distillation for Data-Agnostic Consolidation in
  Distributed Continual Learning
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
Joost van de Weijer
FedML
52
5
0
28 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang
Ran He
Tien-Ping Tan
OODVLMTTA
138
242
0
27 Mar 2023
Remind of the Past: Incremental Learning with Analogical Prompts
Remind of the Past: Incremental Learning with Analogical Prompts
Zhiheng Ma
Xiaopeng Hong
Beinan Liu
Yabin Wang
Pinyue Guo
Huiyun Li
CLL
84
1
0
24 Mar 2023
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
Yuzheng Wang
Zhaoyu Chen
Dingkang Yang
Pinxue Guo
Kaixun Jiang
Wenqiang Zhang
Lizhe Qi
AAML
60
6
0
21 Mar 2023
Non-Exemplar Online Class-incremental Continual Learning via
  Dual-prototype Self-augment and Refinement
Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement
Fushuo Huo
Wenchao Xu
Jingcai Guo
Yining Qi
Yunfeng Fan
Song Guo
CLL
132
16
0
20 Mar 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Tongliang Liu
Chun Yuan
Dacheng Tao
129
4
0
20 Mar 2023
A Unified Continual Learning Framework with General Parameter-Efficient
  Tuning
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
Qiankun Gao
Chen Zhao
Yifan Sun
Teng Xi
Gang Zhang
Guohao Li
Shuai Liu
CLL
114
98
0
17 Mar 2023
Leaping Into Memories: Space-Time Deep Feature Synthesis
Leaping Into Memories: Space-Time Deep Feature Synthesis
Alexandros Stergiou
Nikos Deligiannis
36
0
0
17 Mar 2023
Detecting Out-of-distribution Examples via Class-conditional Impressions
  Reappearing
Detecting Out-of-distribution Examples via Class-conditional Impressions Reappearing
Jinggang Chen
Xiaoyang Qu
Junjie Li
Jianzong Wang
Ji-guang Wan
Jing Xiao
OODD
50
4
0
17 Mar 2023
Rethinking White-Box Watermarks on Deep Learning Models under Neural
  Structural Obfuscation
Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation
Yifan Yan
Xudong Pan
Mi Zhang
Min Yang
AAML
150
16
0
17 Mar 2023
Data-Free Sketch-Based Image Retrieval
Data-Free Sketch-Based Image Retrieval
Abhra Chaudhuri
A. Bhunia
Yi-Zhe Song
Anjan Dutta
75
7
0
14 Mar 2023
Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation
  Towards General Sound Classification
Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound Classification
Zuheng Kang
Yayun He
Jianzong Wang
Junqing Peng
Xiaoyang Qu
Jing Xiao
38
2
0
14 Mar 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free
  Distillation
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation
Jie M. Zhang
Chen Chen
Weiming Zhuang
Lingjuan Lv
CLLFedML
82
54
0
13 Mar 2023
NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection
  via Neural Instance Feature Forging
NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging
Karim Guirguis
Johannes Meier
George Eskandar
Matthias Kayser
B. Yang
Juergen Beyerer
111
9
0
09 Mar 2023
Learning to Retain while Acquiring: Combating Distribution-Shift in
  Adversarial Data-Free Knowledge Distillation
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
Gaurav Patel
Konda Reddy Mopuri
Qiang Qiu
71
28
0
28 Feb 2023
A Comprehensive Survey on Source-free Domain Adaptation
A Comprehensive Survey on Source-free Domain Adaptation
Zhiqi Yu
Jingjing Li
Zhekai Du
Lei Zhu
Jikang Cheng
TTA
129
109
0
23 Feb 2023
Explicit and Implicit Knowledge Distillation via Unlabeled Data
Explicit and Implicit Knowledge Distillation via Unlabeled Data
Yuzheng Wang
Zuhao Ge
Zhaoyu Chen
Xiangjian Liu
Chuang Ma
Yunquan Sun
Lizhe Qi
110
10
0
17 Feb 2023
Fuzzy Knowledge Distillation from High-Order TSK to Low-Order TSK
Fuzzy Knowledge Distillation from High-Order TSK to Low-Order TSK
Xiongtao Zhang
Zezong Yin
Yunliang Jiang
Yizhang Jiang
Da-Song Sun
Yong-Jin Liu
53
1
0
16 Feb 2023
CodeLMSec Benchmark: Systematically Evaluating and Finding Security
  Vulnerabilities in Black-Box Code Language Models
CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models
Hossein Hajipour
Keno Hassler
Thorsten Holz
Lea Schonherr
Mario Fritz
ELM
99
22
0
08 Feb 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class
  Incremental Learning
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
Yibo Yang
Haobo Yuan
Hefei Ling
Zhouchen Lin
Philip Torr
Dacheng Tao
CLL
111
106
0
06 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
217
708
0
31 Jan 2023
Learning to Linearize Deep Neural Networks for Secure and Efficient
  Private Inference
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
Souvik Kundu
Shun Lu
Yuke Zhang
Jacqueline Liu
Peter A. Beerel
40
29
0
23 Jan 2023
Source-Free Unsupervised Domain Adaptation: A Survey
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang
P. Yap
W. Lin
Hongtu Zhu
Mingxia Liu
209
98
0
31 Dec 2022
Fake it till you make it: Learning transferable representations from
  synthetic ImageNet clones
Fake it till you make it: Learning transferable representations from synthetic ImageNet clones
Mert Bulent Sariyildiz
Alahari Karteek
Diane Larlus
Yannis Kalantidis
DiffMVLM
100
161
0
16 Dec 2022
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental
  Learning
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
Xialei Liu
Jiang-Tian Zhai
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
47
5
0
16 Dec 2022
What do Vision Transformers Learn? A Visual Exploration
What do Vision Transformers Learn? A Visual Exploration
Amin Ghiasi
Hamid Kazemi
Eitan Borgnia
Steven Reich
Manli Shu
Micah Goldblum
A. Wilson
Tom Goldstein
ViT
88
64
0
13 Dec 2022
DISCO: Adversarial Defense with Local Implicit Functions
DISCO: Adversarial Defense with Local Implicit Functions
Chih-Hui Ho
Nuno Vasconcelos
AAML
125
39
0
11 Dec 2022
Diffusion Art or Digital Forgery? Investigating Data Replication in
  Diffusion Models
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
Gowthami Somepalli
Vasu Singla
Micah Goldblum
Jonas Geiping
Tom Goldstein
92
330
0
07 Dec 2022
Expanding Small-Scale Datasets with Guided Imagination
Expanding Small-Scale Datasets with Guided Imagination
Yifan Zhang
Daquan Zhou
Bryan Hooi
Kaixin Wang
Jiashi Feng
152
48
0
25 Nov 2022
Video Test-Time Adaptation for Action Recognition
Video Test-Time Adaptation for Action Recognition
Wei Lin
M. Jehanzeb Mirza
Mateusz Koziñski
Horst Possegger
Hilde Kuehne
Horst Bischof
TTA
84
32
0
24 Nov 2022
CODA-Prompt: COntinual Decomposed Attention-based Prompting for
  Rehearsal-Free Continual Learning
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
James Smith
Leonid Karlinsky
V. Gutta
Paola Cascante-Bonilla
Donghyun Kim
Assaf Arbelle
Yikang Shen
Rogerio Feris
Z. Kira
CLLVPVLMVLM
98
299
0
23 Nov 2022
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
James Smith
Paola Cascante-Bonilla
Assaf Arbelle
Donghyun Kim
Yikang Shen
David D. Cox
Diyi Yang
Z. Kira
Rogerio Feris
Leonid Karlinsky
VLM
141
23
0
17 Nov 2022
A Survey on Computer Vision based Human Analysis in the COVID-19 Era
A Survey on Computer Vision based Human Analysis in the COVID-19 Era
Fevziye Irem Eyiokur
Alperen Kantarci
M. Erakin
Naser Damer
Ferda Ofli
...
Janez Križaj
A. Salah
Alexander Waibel
Vitomir Štruc
H. K. Ekenel
77
21
0
07 Nov 2022
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