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Bayesian Batch Active Learning as Sparse Subset Approximation
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Bayesian Batch Active Learning as Sparse Subset Approximation

6 August 2019
Robert Pinsler
Jonathan Gordon
Eric T. Nalisnick
José Miguel Hernández-Lobato
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Bayesian Batch Active Learning as Sparse Subset Approximation"

29 / 79 papers shown
Title
Visual Transformer for Task-aware Active Learning
Visual Transformer for Task-aware Active Learning
Razvan Caramalau
Binod Bhattarai
Tae-Kyun Kim
ViT
137
11
0
07 Jun 2021
Understanding Uncertainty in Bayesian Deep Learning
Understanding Uncertainty in Bayesian Deep Learning
Cooper Lorsung
BDLUQCV
21
0
0
21 May 2021
Bayesian Active Learning by Disagreements: A Geometric Perspective
Bayesian Active Learning by Disagreements: A Geometric Perspective
Xiaofeng Cao
Ivor W. Tsang
29
8
0
06 May 2021
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning
Chaosheng Dong
Xiaojie Jin
Weihao Gao
Yijia Wang
Hongyi Zhang
Xiang Wu
Jianchao Yang
Xiaobing Liu
75
5
0
27 Apr 2021
Feedback Coding for Active Learning
Feedback Coding for Active Learning
Gregory H. Canal
Matthieu R. Bloch
Christopher Rozell
27
0
0
28 Feb 2021
A Unified Batch Selection Policy for Active Metric Learning
A Unified Batch Selection Policy for Active Metric Learning
Priyadarshini Kumari
S. Chaudhuri
Vivek Borkar
S. Chaudhuri
48
2
0
15 Feb 2021
A Survey on Active Deep Learning: From Model-driven to Data-driven
Peng Liu
Lizhe Wang
Guojin He
Lei Zhao
73
14
0
25 Jan 2021
Deep Bayesian Active Learning, A Brief Survey on Recent Advances
Deep Bayesian Active Learning, A Brief Survey on Recent Advances
S. Mohamadi
H. Amindavar
BDLUQCV
92
17
0
15 Dec 2020
Active Learning in CNNs via Expected Improvement Maximization
Active Learning in CNNs via Expected Improvement Maximization
Udai G. Nagpal
David A. Knowles
VLM
19
2
0
27 Nov 2020
Sampling Approach Matters: Active Learning for Robotic Language
  Acquisition
Sampling Approach Matters: Active Learning for Robotic Language Acquisition
Nisha Pillai
Edward Raff
Francis Ferraro
Cynthia Matuszek
57
3
0
16 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDLUQCV
360
1,947
0
12 Nov 2020
Bayesian Deep Learning via Subnetwork Inference
Bayesian Deep Learning via Subnetwork Inference
Erik A. Daxberger
Eric T. Nalisnick
J. Allingham
Javier Antorán
José Miguel Hernández-Lobato
UQCVBDL
130
86
0
28 Oct 2020
Experimental Design for Overparameterized Learning with Application to
  Single Shot Deep Active Learning
Experimental Design for Overparameterized Learning with Application to Single Shot Deep Active Learning
N. Shoham
H. Avron
BDL
36
12
0
27 Sep 2020
One-bit Supervision for Image Classification
One-bit Supervision for Image Classification
Hengtong Hu
Lingxi Xie
Zewei Du
Richang Hong
Qi Tian
SSLVLM
46
16
0
14 Sep 2020
$β$-Cores: Robust Large-Scale Bayesian Data Summarization in the
  Presence of Outliers
βββ-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers
Dionysis Manousakas
Cecilia Mascolo
45
2
0
31 Aug 2020
A Survey of Deep Active Learning
A Survey of Deep Active Learning
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
138
1,160
0
30 Aug 2020
BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty
BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty
Théo Guénais
Dimitris Vamvourellis
Yaniv Yacoby
Finale Doshi-Velez
Weiwei Pan
UQCV
31
13
0
12 Jul 2020
Similarity Search for Efficient Active Learning and Search of Rare
  Concepts
Similarity Search for Efficient Active Learning and Search of Rare Concepts
Cody Coleman
Edward Chou
Julian Katz-Samuels
Sean Culatana
Peter Bailis
Alexander C. Berg
Robert Nowak
Roshan Sumbaly
Matei A. Zaharia
I. Z. Yalniz
90
42
0
30 Jun 2020
Effective Version Space Reduction for Convolutional Neural Networks
Effective Version Space Reduction for Convolutional Neural Networks
Jiayu Liu
Ioannis Chiotellis
Rudolph Triebel
Daniel Cremers
14
2
0
22 Jun 2020
Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using
  Multi-Headed Auxiliary Networks
Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using Multi-Headed Auxiliary Networks
Sujay Thakur
Cooper Lorsung
Yaniv Yacoby
Finale Doshi-Velez
Weiwei Pan
BDLUQCV
90
4
0
21 Jun 2020
Sequential Graph Convolutional Network for Active Learning
Sequential Graph Convolutional Network for Active Learning
Razvan Caramalau
Binod Bhattarai
Tae-Kyun Kim
GNN
128
122
0
18 Jun 2020
Information Condensing Active Learning
Information Condensing Active Learning
Siddhartha Jain
Ge Liu
David K Gifford
VLM
74
2
0
18 Feb 2020
Robustness analytics to data heterogeneity in edge computing
Robustness analytics to data heterogeneity in edge computing
Jia Qian
Lars Kai Hansen
Xenofon Fafoutis
Prayag Tiwari
Hari Mohan Pandey
FedML
58
5
0
12 Feb 2020
Task-Aware Variational Adversarial Active Learning
Task-Aware Variational Adversarial Active Learning
Kwanyoung Kim
Dongwon Park
K. Kim
S. Chun
VLMOOD
60
145
0
11 Feb 2020
A New Framework for Query Efficient Active Imitation Learning
A New Framework for Query Efficient Active Imitation Learning
Daniel J. Hsu
34
4
0
30 Dec 2019
Adversarial Representation Active Learning
Adversarial Representation Active Learning
A. Mottaghi
Serena Yeung
VLMGAN
66
29
0
20 Dec 2019
Benchmarking the Neural Linear Model for Regression
Benchmarking the Neural Linear Model for Regression
Sebastian W. Ober
C. Rasmussen
BDL
83
43
0
18 Dec 2019
Deep Active Learning: Unified and Principled Method for Query and
  Training
Deep Active Learning: Unified and Principled Method for Query and Training
Changjian Shui
Fan Zhou
Christian Gagné
Boyu Wang
FedML
97
153
0
20 Nov 2019
The Effectiveness of Variational Autoencoders for Active Learning
The Effectiveness of Variational Autoencoders for Active Learning
Farhad Pourkamali-Anaraki
M. Wakin
DRL
53
4
0
18 Nov 2019
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