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Active Mini-Batch Sampling using Repulsive Point Processes

Active Mini-Batch Sampling using Repulsive Point Processes

8 April 2018
Cheng Zhang
Cengiz Öztireli
Stephan Mandt
G. Salvi
ArXivPDFHTML

Papers citing "Active Mini-Batch Sampling using Repulsive Point Processes"

12 / 12 papers shown
Title
Multiple Importance Sampling for Stochastic Gradient Estimation
Multiple Importance Sampling for Stochastic Gradient Estimation
Corentin Salaün
Xingchang Huang
Iliyan Georgiev
Niloy J. Mitra
Gurprit Singh
32
1
0
22 Jul 2024
DPP-based Client Selection for Federated Learning with Non-IID Data
DPP-based Client Selection for Federated Learning with Non-IID Data
Yuxuan Zhang
Chao Xu
Howard H. Yang
Xijun Wang
Tony Q.S. Quek
FedML
51
5
0
30 Mar 2023
Determinantal point processes based on orthogonal polynomials for
  sampling minibatches in SGD
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
Rémi Bardenet
Subhro Ghosh
Meixia Lin
22
6
0
11 Dec 2021
Uniform Sampling over Episode Difficulty
Uniform Sampling over Episode Difficulty
Sébastien M. R. Arnold
Guneet Singh Dhillon
Avinash Ravichandran
Stefano Soatto
24
14
0
03 Aug 2021
Adaptive Task Sampling for Meta-Learning
Adaptive Task Sampling for Meta-Learning
Chenghao Liu
Zhihao Wang
Doyen Sahoo
Yuan Fang
Kun Zhang
Guosheng Lin
30
54
0
17 Jul 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
93
1,935
0
11 Apr 2020
Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based
  Anomaly Detection in Sounds
Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds
Yuma Koizumi
Shoichiro Saito
Masataka Yamaguchi
Shin Murata
Noboru Harada
27
25
0
19 Jul 2019
Submodular Batch Selection for Training Deep Neural Networks
Submodular Batch Selection for Training Deep Neural Networks
K. J. Joseph
R. VamshiTeja
Krishnakant Singh
V. Balasubramanian
13
23
0
20 Jun 2019
Batch Active Learning Using Determinantal Point Processes
Batch Active Learning Using Determinantal Point Processes
Erdem Biyik
Kenneth Wang
Nima Anari
Dorsa Sadigh
27
61
0
19 Jun 2019
The Effect of Network Width on the Performance of Large-batch Training
The Effect of Network Width on the Performance of Large-batch Training
Lingjiao Chen
Hongyi Wang
Jinman Zhao
Dimitris Papailiopoulos
Paraschos Koutris
23
22
0
11 Jun 2018
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
38
684
0
15 Nov 2017
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
176
1,125
0
25 Jul 2012
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