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Gone Fishing: Neural Active Learning with Fisher Embeddings
17 June 2021
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Sham Kakade
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Papers citing
"Gone Fishing: Neural Active Learning with Fisher Embeddings"
13 / 63 papers shown
Title
Improved Algorithms for Neural Active Learning
Yikun Ban
Yuheng Zhang
Hanghang Tong
A. Banerjee
Jingrui He
AI4TS
36
11
0
02 Oct 2022
CEREAL: Few-Sample Clustering Evaluation
Nihal V. Nayak
Ethan R. Elenberg
Clemens Rosenbaum
16
0
0
30 Sep 2022
Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities
Andreas Kirsch
Y. Gal
FedML
22
21
0
01 Aug 2022
Neural Design for Genetic Perturbation Experiments
Aldo Pacchiano
Drausin Wulsin
Robert A. Barton
L. Voloch
19
4
0
26 Jul 2022
Deep Active Learning with Noise Stability
Xingjian Li
Pengkun Yang
Mingkun Xu
Xueying Zhan
Tianyang Wang
Dejing Dou
Chengzhong Xu
UQCV
11
12
0
26 May 2022
A Framework and Benchmark for Deep Batch Active Learning for Regression
David Holzmüller
Viktor Zaverkin
Johannes Kastner
Ingo Steinwart
UQCV
BDL
GP
18
34
0
17 Mar 2022
A Lagrangian Duality Approach to Active Learning
Juan Elenter
Navid Naderializadeh
Alejandro Ribeiro
14
20
0
08 Feb 2022
GALAXY: Graph-based Active Learning at the Extreme
Jifan Zhang
Julian Katz-Samuels
Robert D. Nowak
11
29
0
03 Feb 2022
Anti-Concentrated Confidence Bonuses for Scalable Exploration
Jordan T. Ash
Cyril Zhang
Surbhi Goel
A. Krishnamurthy
Sham Kakade
15
6
0
21 Oct 2021
Multi-Domain Active Learning: Literature Review and Comparative Study
Ruidan He
Shengcai Liu
Shan He
Ke Tang
OOD
19
14
0
25 Jun 2021
Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning
Andreas Kirsch
Sebastian Farquhar
Parmida Atighehchian
Andrew Jesson
Frederic Branchaud-Charron
Y. Gal
28
20
0
22 Jun 2021
Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers
Andreas Kirsch
Tom Rainforth
Y. Gal
OOD
TTA
17
22
0
22 Jun 2021
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
J. Woo
20
11
0
30 May 2021
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