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Heterogeneous Knowledge Distillation using Information Flow Modeling

Heterogeneous Knowledge Distillation using Information Flow Modeling

2 May 2020
Nikolaos Passalis
Maria Tzelepi
Anastasios Tefas
ArXivPDFHTML

Papers citing "Heterogeneous Knowledge Distillation using Information Flow Modeling"

30 / 30 papers shown
Title
Cross-Architecture Auxiliary Feature Space Translation for Efficient
  Few-Shot Personalized Object Detection
Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection
F. Barbato
Umberto Michieli
J. Moon
Pietro Zanuttigh
Mete Ozay
42
2
0
01 Jul 2024
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications
Jordy Van Landeghem
Subhajit Maity
Ayan Banerjee
Matthew Blaschko
Marie-Francine Moens
Josep Lladós
Sanket Biswas
50
2
0
12 Jun 2024
Adversarial Sparse Teacher: Defense Against Distillation-Based Model
  Stealing Attacks Using Adversarial Examples
Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples
Eda Yilmaz
H. Keles
AAML
21
2
0
08 Mar 2024
Choosing Wisely and Learning Deeply: Selective Cross-Modality
  Distillation via CLIP for Domain Generalization
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization
Jixuan Leng
Yijiang Li
Haohan Wang
VLM
37
0
0
26 Nov 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey
Teacher-Student Architecture for Knowledge Distillation: A Survey
Chengming Hu
Xuan Li
Danyang Liu
Haolun Wu
Xi Chen
Ju Wang
Xue Liu
21
16
0
08 Aug 2023
Towards a Smaller Student: Capacity Dynamic Distillation for Efficient
  Image Retrieval
Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval
Yi Xie
Huaidong Zhang
Xuemiao Xu
Jianqing Zhu
Shengfeng He
VLM
21
13
0
16 Mar 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation
Graph-based Knowledge Distillation: A survey and experimental evaluation
Jing Liu
Tongya Zheng
Guanzheng Zhang
Qinfen Hao
33
8
0
27 Feb 2023
OVO: One-shot Vision Transformer Search with Online distillation
Zimian Wei
H. Pan
Xin-Yi Niu
Dongsheng Li
ViT
29
1
0
28 Dec 2022
Hilbert Distillation for Cross-Dimensionality Networks
Hilbert Distillation for Cross-Dimensionality Networks
Dian Qin
Haishuai Wang
Zhe Liu
Hongjia Xu
Sheng Zhou
Jiajun Bu
23
4
0
08 Nov 2022
Federated Learning with Privacy-Preserving Ensemble Attention
  Distillation
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Xuan Gong
Liangchen Song
Rishi Vedula
Abhishek Sharma
Meng Zheng
...
Arun Innanje
Terrence Chen
Junsong Yuan
David Doermann
Ziyan Wu
FedML
30
27
0
16 Oct 2022
MLink: Linking Black-Box Models from Multiple Domains for Collaborative
  Inference
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
Mu Yuan
Lan Zhang
Zimu Zheng
Yi-Nan Zhang
Xiang-Yang Li
25
2
0
28 Sep 2022
Online Knowledge Distillation via Mutual Contrastive Learning for Visual
  Recognition
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition
Chuanguang Yang
Zhulin An
Helong Zhou
Fuzhen Zhuang
Yongjun Xu
Qian Zhang
43
50
0
23 Jul 2022
Locality Guidance for Improving Vision Transformers on Tiny Datasets
Locality Guidance for Improving Vision Transformers on Tiny Datasets
Kehan Li
Runyi Yu
Zhennan Wang
Li-ming Yuan
Guoli Song
Jie Chen
ViT
32
44
0
20 Jul 2022
Fast Object Placement Assessment
Fast Object Placement Assessment
Li Niu
Qingyang Liu
Zhenchen Liu
Jiangtong Li
21
14
0
28 May 2022
IDEAL: Query-Efficient Data-Free Learning from Black-box Models
IDEAL: Query-Efficient Data-Free Learning from Black-box Models
Jie M. Zhang
Chen Chen
Lingjuan Lyu
55
14
0
23 May 2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Jing Yang
Xiatian Zhu
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
33
8
0
13 May 2022
Generalized Knowledge Distillation via Relationship Matching
Generalized Knowledge Distillation via Relationship Matching
Han-Jia Ye
Su Lu
De-Chuan Zhan
FedML
22
20
0
04 May 2022
Knowledge Distillation as Efficient Pre-training: Faster Convergence,
  Higher Data-efficiency, and Better Transferability
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability
Ruifei He
Shuyang Sun
Jihan Yang
Song Bai
Xiaojuan Qi
34
36
0
10 Mar 2022
Iterative Self Knowledge Distillation -- From Pothole Classification to
  Fine-Grained and COVID Recognition
Iterative Self Knowledge Distillation -- From Pothole Classification to Fine-Grained and COVID Recognition
Kuan-Chuan Peng
43
2
0
04 Feb 2022
Towards Streaming Egocentric Action Anticipation
Towards Streaming Egocentric Action Anticipation
Antonino Furnari
G. Farinella
EgoV
33
6
0
11 Oct 2021
Partial to Whole Knowledge Distillation: Progressive Distilling
  Decomposed Knowledge Boosts Student Better
Partial to Whole Knowledge Distillation: Progressive Distilling Decomposed Knowledge Boosts Student Better
Xuanyang Zhang
Xinming Zhang
Jian Sun
25
1
0
26 Sep 2021
Knowledge Distillation Using Hierarchical Self-Supervision Augmented
  Distribution
Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution
Chuanguang Yang
Zhulin An
Linhang Cai
Yongjun Xu
32
15
0
07 Sep 2021
Self-Regulation for Semantic Segmentation
Self-Regulation for Semantic Segmentation
Zhangfu Dong
Zhang Hanwang
T. Jinhui
Huang Xiansheng
Sun Qianru
36
36
0
22 Aug 2021
Hierarchical Self-supervised Augmented Knowledge Distillation
Hierarchical Self-supervised Augmented Knowledge Distillation
Chuanguang Yang
Zhulin An
Linhang Cai
Yongjun Xu
SSL
32
76
0
29 Jul 2021
Distilling a Powerful Student Model via Online Knowledge Distillation
Distilling a Powerful Student Model via Online Knowledge Distillation
Shaojie Li
Mingbao Lin
Yan Wang
Yongjian Wu
Yonghong Tian
Ling Shao
Rongrong Ji
FedML
27
47
0
26 Mar 2021
Student Network Learning via Evolutionary Knowledge Distillation
Student Network Learning via Evolutionary Knowledge Distillation
Kangkai Zhang
Chunhui Zhang
Shikun Li
Dan Zeng
Shiming Ge
22
83
0
23 Mar 2021
Cross-Layer Distillation with Semantic Calibration
Cross-Layer Distillation with Semantic Calibration
Defang Chen
Jian-Ping Mei
Yuan Zhang
Can Wang
Yan Feng
Chun-Yen Chen
FedML
45
287
0
06 Dec 2020
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
19
2,851
0
09 Jun 2020
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
CLL
VLM
28
98
0
08 Nov 2019
Large scale distributed neural network training through online
  distillation
Large scale distributed neural network training through online distillation
Rohan Anil
Gabriel Pereyra
Alexandre Passos
Róbert Ormándi
George E. Dahl
Geoffrey E. Hinton
FedML
278
404
0
09 Apr 2018
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