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1908.02144
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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
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Papers citing
"Bayesian Batch Active Learning as Sparse Subset Approximation"
29 / 79 papers shown
Title
Visual Transformer for Task-aware Active Learning
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137
11
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07 Jun 2021
Understanding Uncertainty in Bayesian Deep Learning
Cooper Lorsung
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21
0
0
21 May 2021
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
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
Gregory H. Canal
Matthieu R. Bloch
Christopher Rozell
27
0
0
28 Feb 2021
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
S. Mohamadi
H. Amindavar
BDL
UQCV
92
17
0
15 Dec 2020
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
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
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
360
1,947
0
12 Nov 2020
Bayesian Deep Learning via Subnetwork Inference
Erik A. Daxberger
Eric T. Nalisnick
J. Allingham
Javier Antorán
José Miguel Hernández-Lobato
UQCV
BDL
130
86
0
28 Oct 2020
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
Hengtong Hu
Lingxi Xie
Zewei Du
Richang Hong
Qi Tian
SSL
VLM
46
16
0
14 Sep 2020
β
β
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-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
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
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
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
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
Sujay Thakur
Cooper Lorsung
Yaniv Yacoby
Finale Doshi-Velez
Weiwei Pan
BDL
UQCV
90
4
0
21 Jun 2020
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
Siddhartha Jain
Ge Liu
David K Gifford
VLM
74
2
0
18 Feb 2020
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
Kwanyoung Kim
Dongwon Park
K. Kim
S. Chun
VLM
OOD
60
145
0
11 Feb 2020
A New Framework for Query Efficient Active Imitation Learning
Daniel J. Hsu
34
4
0
30 Dec 2019
Adversarial Representation Active Learning
A. Mottaghi
Serena Yeung
VLM
GAN
66
29
0
20 Dec 2019
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
Changjian Shui
Fan Zhou
Christian Gagné
Boyu Wang
FedML
97
153
0
20 Nov 2019
The Effectiveness of Variational Autoencoders for Active Learning
Farhad Pourkamali-Anaraki
M. Wakin
DRL
53
4
0
18 Nov 2019
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