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Improving Ensemble Distillation With Weight Averaging and Diversifying
  Perturbation

Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation

30 June 2022
G. Nam
Hyungi Lee
Byeongho Heo
Juho Lee
    UQCV
    FedML
ArXivPDFHTML

Papers citing "Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation"

5 / 5 papers shown
Title
AST: Effective Dataset Distillation through Alignment with Smooth and
  High-Quality Expert Trajectories
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories
Jiyuan Shen
Wenzhuo Yang
Kwok-Yan Lam
DD
25
1
0
16 Oct 2023
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
Tao Feng
Jie Zhang
Peizheng Wang
Zhijie Wang
Shengyuan Pang
DD
46
0
0
29 May 2023
Accelerating Dataset Distillation via Model Augmentation
Accelerating Dataset Distillation via Model Augmentation
Lei Zhang
Jie M. Zhang
Bowen Lei
Subhabrata Mukherjee
Xiang Pan
Bo-Lu Zhao
Caiwen Ding
Y. Li
Dongkuan Xu
DD
23
62
0
12 Dec 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,190
0
01 Sep 2014
1