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Active Learning: Problem Settings and Recent Developments

Active Learning: Problem Settings and Recent Developments

8 December 2020
H. Hino
ArXivPDFHTML

Papers citing "Active Learning: Problem Settings and Recent Developments"

8 / 8 papers shown
Title
Actively Learning Combinatorial Optimization Using a Membership Oracle
Actively Learning Combinatorial Optimization Using a Membership Oracle
Rosario Messana
Rui Chen
Andrea Lodi
52
1
0
23 May 2024
Gradient Descent in RKHS with Importance Labeling
Gradient Descent in RKHS with Importance Labeling
Tomoya Murata
Taiji Suzuki
23
3
0
19 Jun 2020
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian
  Active Learning
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Andreas Kirsch
Joost R. van Amersfoort
Y. Gal
FedML
87
627
0
19 Jun 2019
Variational Adversarial Active Learning
Variational Adversarial Active Learning
Samarth Sinha
Sayna Ebrahimi
Trevor Darrell
GAN
DRL
VLM
SSL
119
579
0
31 Mar 2019
Learning how to Active Learn: A Deep Reinforcement Learning Approach
Learning how to Active Learn: A Deep Reinforcement Learning Approach
Meng Fang
Yuan Li
Trevor Cohn
52
285
0
08 Aug 2017
Active One-shot Learning
Active One-shot Learning
Mark P. Woodward
Chelsea Finn
VLM
OffRL
62
130
0
21 Feb 2017
Learning Causal Graphs with Small Interventions
Learning Causal Graphs with Small Interventions
Karthikeyan Shanmugam
Murat Kocaoglu
A. Dimakis
S. Vishwanath
CML
99
106
0
30 Oct 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
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