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

22 June 2021

Papers citing "Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers"

16 / 16 papers shown

Title
Distributionally Robust Active Learning for Gaussian Process Regression Shion Takeno Yoshito Okura Yu Inatsu Aoyama Tatsuya Tomonari Tanaka ... Noriaki Hashimoto Taro Murayama Hanju Lee Shinya Kojima Ichiro Takeuchi OOD GP 43 0 0 24 Feb 2025
Making Better Use of Unlabelled Data in Bayesian Active Learning Freddie Bickford-Smith Adam Foster Tom Rainforth 36 3 0 26 Apr 2024
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design Clare Lyle Arash Mehrjou Pascal Notin Andrew Jesson Stefan Bauer Y. Gal Patrick Schwab 49 10 0 07 Dec 2023
Anchor Points: Benchmarking Models with Much Fewer Examples Rajan Vivek Kawin Ethayarajh Diyi Yang Douwe Kiela ALM 29 22 0 14 Sep 2023
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes Tim Bakker H. V. Hoof Max Welling 35 2 0 11 Sep 2023
Training-Free Neural Active Learning with Initialization-Robustness Guarantees Apivich Hemachandra Zhongxiang Dai Jasraj Singh See-Kiong Ng K. H. Low AAML 36 6 0 07 Jun 2023
Active Learning Principles for In-Context Learning with Large Language Models Katerina Margatina Timo Schick Nikolaos Aletras Jane Dwivedi-Yu 30 39 0 23 May 2023
On the Limitations of Simulating Active Learning Katerina Margatina Nikolaos Aletras 31 11 0 21 May 2023
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction Jiefeng Chen Jinsung Yoon Sayna Ebrahimi Sercan Ö. Arik S. Jha Tomas Pfister 36 1 0 07 Apr 2023
Investigating Multi-source Active Learning for Natural Language Inference Ard Snijders Douwe Kiela Katerina Margatina 24 7 0 14 Feb 2023
MoBYv2AL: Self-supervised Active Learning for Image Classification Razvan Caramalau Binod Bhattarai Danail Stoyanov Tae-Kyun Kim SSL 27 7 0 04 Jan 2023
Active Learning with Expected Error Reduction Stephen Mussmann Julia Reisler Daniel Tsai Ehsan Mousavi S. O'Brien M. Goldszmidt UQCV BDL 33 10 0 17 Nov 2022
Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities Andreas Kirsch Y. Gal FedML 29 21 0 01 Aug 2022
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling Andreas Kirsch Jannik Kossen Y. Gal UQCV BDL 52 3 0 18 May 2022
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing Renyu Zhang Aly A. Khan Robert L. Grossman Yuxin Chen BDL 16 2 0 27 Dec 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015