Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1912.08795
Cited By
v1
v2 (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
Re-assign community
ArXiv (abs)
PDF
HTML
Github (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
Zeyuan Yin
Eric P. Xing
Zhiqiang Shen
DD
101
83
0
22 Jun 2023
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
Chuanguang Yang
Xinqiang Yu
Zhulin An
Yongjun Xu
VLM
OffRL
179
26
0
19 Jun 2023
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
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
Zhicong Yan
Shenghong Li
Ruijie Zhao
Yuan Tian
Yuanyuan Zhao
AAML
69
12
0
13 Jun 2023
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
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
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?
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
Yuxin Jiang
Chunkit Chan
Yin Hua
Wei Wang
ALM
103
25
0
22 May 2023
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
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
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
Mingrui Li
W. Smith
P. Huber
CVBM
GAN
35
2
0
15 Apr 2023
Continual Source-Free Unsupervised Domain Adaptation
Waqar Ahmed
Pietro Morerio
Vittorio Murino
TTA
CLL
83
2
0
14 Apr 2023
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
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
Jian Liang
Ran He
Tien-Ping Tan
OOD
VLM
TTA
138
242
0
27 Mar 2023
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
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
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
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
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
Alexandros Stergiou
Nikos Deligiannis
36
0
0
17 Mar 2023
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
Yifan Yan
Xudong Pan
Mi Zhang
Min Yang
AAML
150
16
0
17 Mar 2023
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
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
Jie M. Zhang
Chen Chen
Weiming Zhuang
Lingjuan Lv
CLL
FedML
82
54
0
13 Mar 2023
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
Gaurav Patel
Konda Reddy Mopuri
Qiang Qiu
71
28
0
28 Feb 2023
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
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
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
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
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
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
217
708
0
31 Jan 2023
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
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
Mert Bulent Sariyildiz
Alahari Karteek
Diane Larlus
Yannis Kalantidis
DiffM
VLM
100
161
0
16 Dec 2022
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
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
Chih-Hui Ho
Nuno Vasconcelos
AAML
125
39
0
11 Dec 2022
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
Yifan Zhang
Daquan Zhou
Bryan Hooi
Kaixin Wang
Jiashi Feng
152
48
0
25 Nov 2022
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
James Smith
Leonid Karlinsky
V. Gutta
Paola Cascante-Bonilla
Donghyun Kim
Assaf Arbelle
Yikang Shen
Rogerio Feris
Z. Kira
CLL
VPVLM
VLM
98
299
0
23 Nov 2022
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
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
Previous
1
2
3
4
5
6
7
8
Next