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Distilling the Knowledge in a Neural Network

Distilling the Knowledge in a Neural Network

9 March 2015
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
    FedML
ArXivPDFHTML

Papers citing "Distilling the Knowledge in a Neural Network"

50 / 327 papers shown
Title
Non-autoregressive Sequence-to-Sequence Vision-Language Models
Non-autoregressive Sequence-to-Sequence Vision-Language Models
Kunyu Shi
Qi Dong
Luis Goncalves
Zhuowen Tu
Stefano Soatto
VLM
72
3
0
04 Mar 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Futa Waseda
Ching-Chun Chang
Isao Echizen
AAML
64
0
0
22 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
Sebastian Pokutta
AAML
80
1
0
19 Feb 2024
Large Language Models: A Survey
Large Language Models: A Survey
Shervin Minaee
Tomas Mikolov
Narjes Nikzad
M. Asgari-Chenaghlu
R. Socher
Xavier Amatriain
Jianfeng Gao
ALM
LM&MA
ELM
160
389
0
09 Feb 2024
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Amin Karimi Monsefi
Payam Karisani
Mengxi Zhou
Stacey S. Choi
Nathan Doble
Heng Ji
Srinivasan Parthasarathy
R. Ramnath
62
5
0
09 Feb 2024
Is Adversarial Training with Compressed Datasets Effective?
Is Adversarial Training with Compressed Datasets Effective?
Tong Chen
Raghavendra Selvan
AAML
97
0
0
08 Feb 2024
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
Lucio Dery
Steven Kolawole
Jean-Francois Kagey
Virginia Smith
Graham Neubig
Ameet Talwalkar
54
29
0
08 Feb 2024
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
Yuhui Li
Fangyun Wei
Chao Zhang
Hongyang R. Zhang
73
144
0
26 Jan 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Chenyang Wang
Junjun Jiang
Xingyu Hu
Xianming Liu
Xiangyang Ji
66
3
0
12 Jan 2024
Knowledge-enhanced Multi-perspective Video Representation Learning for Scene Recognition
Knowledge-enhanced Multi-perspective Video Representation Learning for Scene Recognition
Xuzheng Yu
Chen Jiang
Wei Zhang
Tian Gan
Linlin Chao
Jianan Zhao
Yuan Cheng
Qingpei Guo
Wei Chu
53
0
0
09 Jan 2024
CBQ: Cross-Block Quantization for Large Language Models
CBQ: Cross-Block Quantization for Large Language Models
Xin Ding
Xiaoyu Liu
Zhijun Tu
Yun-feng Zhang
Wei Li
...
Hanting Chen
Yehui Tang
Zhiwei Xiong
Baoqun Yin
Yunhe Wang
MQ
56
14
0
13 Dec 2023
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
Arun V. Reddy
William Paul
Corban Rivera
Ketul Shah
Celso M. de Melo
Rama Chellappa
60
4
0
05 Dec 2023
Maximizing Discrimination Capability of Knowledge Distillation with Energy Function
Maximizing Discrimination Capability of Knowledge Distillation with Energy Function
Seonghak Kim
Gyeongdo Ham
Suin Lee
Donggon Jang
Daeshik Kim
108
4
0
24 Nov 2023
Robustness-Reinforced Knowledge Distillation with Correlation Distance and Network Pruning
Robustness-Reinforced Knowledge Distillation with Correlation Distance and Network Pruning
Seonghak Kim
Gyeongdo Ham
Yucheol Cho
Daeshik Kim
59
4
0
23 Nov 2023
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
Mohammad Junayed Hasan
M.R.C. Mahdy
46
2
0
23 Nov 2023
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
Giovanni Luca Marchetti
Gabriele Cesa
Kumar Pratik
Arash Behboodi
85
2
0
14 Nov 2023
Audio-Visual Speaker Tracking: Progress, Challenges, and Future Directions
Audio-Visual Speaker Tracking: Progress, Challenges, and Future Directions
Jinzheng Zhao
Yong-mei Xu
Xinyuan Qian
Davide Berghi
Peipei Wu
Meng Cui
Jianyuan Sun
Philip J. B. Jackson
Wenwu Wang
BDL
70
7
0
23 Oct 2023
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network
Changze Lv
Tianlong Li
Changze Lv
Yufei Gu
Jianhan Xu
Cenyuan Zhang
Muling Wu
Xiaoqing Zheng
Xuanjing Huang
CLIP
VLM
65
3
0
10 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching
DataDAM: Efficient Dataset Distillation with Attention Matching
A. Sajedi
Samir Khaki
Ehsan Amjadian
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
DD
82
64
0
29 Sep 2023
Diverse Target and Contribution Scheduling for Domain Generalization
Diverse Target and Contribution Scheduling for Domain Generalization
Shaocong Long
Qianyu Zhou
Soham Dan
Lizhuang Ma
Yuan Luo
81
8
0
28 Sep 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Xutao Li
Yew-Soon Ong
CLL
64
0
0
26 Sep 2023
Interpretability-Aware Vision Transformer
Interpretability-Aware Vision Transformer
Yao Qiang
Chengyin Li
Prashant Khanduri
D. Zhu
ViT
118
7
0
14 Sep 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
168
29
0
13 Sep 2023
Training Acceleration of Low-Rank Decomposed Networks using Sequential Freezing and Rank Quantization
Training Acceleration of Low-Rank Decomposed Networks using Sequential Freezing and Rank Quantization
Habib Hajimolahoseini
Walid Ahmed
Yang Liu
OffRL
MQ
37
7
0
07 Sep 2023
Linear Alignment of Vision-language Models for Image Captioning
Linear Alignment of Vision-language Models for Image Captioning
Fabian Paischer
M. Hofmarcher
Sepp Hochreiter
Thomas Adler
CLIP
VLM
87
0
0
10 Jul 2023
Review helps learn better: Temporal Supervised Knowledge Distillation
Review helps learn better: Temporal Supervised Knowledge Distillation
Dongwei Wang
Zhi Han
Yanmei Wang
Xi’ai Chen
Baichen Liu
Yandong Tang
90
1
0
03 Jul 2023
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
Jun Chen
Shipeng Bai
Tianxin Huang
Mengmeng Wang
Guanzhong Tian
Y. Liu
MQ
47
18
0
02 Jul 2023
Long-Tailed Continual Learning For Visual Food Recognition
Long-Tailed Continual Learning For Visual Food Recognition
Jiangpeng He
Luotao Lin
Jack Ma
H. Eicher-Miller
Fengqing Zhu
Fengqing M Zhu
76
14
0
01 Jul 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
Chong Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
112
93
0
27 Jun 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLM
CLL
100
41
0
30 May 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Baoyuan Wu
Chun Yuan
Dacheng Tao
74
7
0
28 May 2023
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
M. Deutel
G. Kontes
Christopher Mutschler
Jürgen Teich
122
0
0
23 May 2023
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
Deyi Ji
Haoran Wang
Mingyuan Tao
Jianqiang Huang
Xiansheng Hua
Hongtao Lu
97
61
0
06 May 2023
If At First You Don't Succeed: Test Time Re-ranking for Zero-shot, Cross-domain Retrieval
If At First You Don't Succeed: Test Time Re-ranking for Zero-shot, Cross-domain Retrieval
Finlay G. C. Hudson
W. Smith
ViT
72
1
0
30 Mar 2023
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement
Chaojian Li
Wenwan Chen
Jiayi Yuan
Yingyan Lin
Ashutosh Sabharwal
40
0
0
19 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
76
13
0
15 Mar 2023
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey
Kunlin Wang
Zi Wang
Zhang Li
Ang Su
Xichao Teng
Minhao Liu
Qifeng Yu
Qifeng Yu
ObjD
109
9
0
21 Feb 2023
Transformadores: Fundamentos teoricos y Aplicaciones
Transformadores: Fundamentos teoricos y Aplicaciones
J. D. L. Torre
93
0
0
18 Feb 2023
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
Xiaoying Zhi
Varun Babbar
P. Sun
Fran Silavong
Ruibo Shi
Sean J. Moran
Sean Moran
68
1
0
17 Feb 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Quyang Pan
Xue Jiang
Bo Gao
67
32
0
01 Jan 2023
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks
Md. Ismail Hossain
Mohammed Rakib
M. M. L. Elahi
Nabeel Mohammed
Shafin Rahman
60
1
0
24 Dec 2022
Exploiting Features and Logits in Heterogeneous Federated Learning
Exploiting Features and Logits in Heterogeneous Federated Learning
Yun-Hin Chan
Edith C.H. Ngai
FedML
44
2
0
27 Oct 2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Yiming Li
Linghui Zhu
Xiaojun Jia
Yang Bai
Yong Jiang
Shutao Xia
Xiaochun Cao
Kui Ren
AAML
66
13
0
04 Aug 2022
Reflective-Net: Learning from Explanations
Reflective-Net: Learning from Explanations
Johannes Schneider
Michalis Vlachos
FAtt
OffRL
LRM
66
18
0
27 Nov 2020
AdderSR: Towards Energy Efficient Image Super-Resolution
AdderSR: Towards Energy Efficient Image Super-Resolution
Dehua Song
Yunhe Wang
Hanting Chen
Chang Xu
Chunjing Xu
Dacheng Tao
SupR
48
83
0
18 Sep 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey
Adversarial Examples on Object Recognition: A Comprehensive Survey
A. Serban
E. Poll
Joost Visser
AAML
55
73
0
07 Aug 2020
Labelling unlabelled videos from scratch with multi-modal
  self-supervision
Labelling unlabelled videos from scratch with multi-modal self-supervision
Yuki M. Asano
Mandela Patrick
Christian Rupprecht
Andrea Vedaldi
SSL
40
152
0
24 Jun 2020
Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation
  With Two-Way Mixup
Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup
Seungeun Oh
Jihong Park
Eunjeong Jeong
Hyesung Kim
M. Bennis
Seong-Lyun Kim
FedML
31
58
0
17 Jun 2020
Prior knowledge distillation based on financial time series
Prior knowledge distillation based on financial time series
Jie Fang
Jianwu Lin
AI4TS
15
6
0
16 Jun 2020
Multi-fidelity Neural Architecture Search with Knowledge Distillation
Multi-fidelity Neural Architecture Search with Knowledge Distillation
I. Trofimov
Nikita Klyuchnikov
Mikhail Salnikov
Alexander N. Filippov
Evgeny Burnaev
44
15
0
15 Jun 2020
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