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Gone Fishing: Neural Active Learning with Fisher Embeddings

Gone Fishing: Neural Active Learning with Fisher Embeddings

17 June 2021
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Sham Kakade
ArXivPDFHTML

Papers citing "Gone Fishing: Neural Active Learning with Fisher Embeddings"

13 / 63 papers shown
Title
Improved Algorithms for Neural Active Learning
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
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
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
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
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
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
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
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
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
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
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
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
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
J. Woo
20
11
0
30 May 2021
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