On Statistical Bias In Active Learning: How and When To Fix It

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On Statistical Bias In Active Learning: How and When To Fix It

27 January 2021

Sebastian Farquhar

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Papers citing "On Statistical Bias In Active Learning: How and When To Fix It"

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Title
Prioritized training on points that are learnable, worth learning, and not yet learned (workshop version) Sören Mindermann Muhammed Razzak Winnie Xu Andreas Kirsch Mrinank Sharma Adrien Morisot Aidan Gomez Sebastian Farquhar J. Brauner Y. Gal 87 7 0 06 Jul 2021
Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning Andreas Kirsch Sebastian Farquhar Parmida Atighehchian Andrew Jesson Frederic Branchaud-Charron Y. Gal 97 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 74 22 0 22 Jun 2021
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle J. Woo 108 11 0 30 May 2021
Active Testing: Sample-Efficient Model Evaluation Jannik Kossen Sebastian Farquhar Y. Gal Tom Rainforth VLM 87 53 0 09 Mar 2021
Feedback Coding for Active Learning Gregory H. Canal Matthieu R. Bloch Christopher Rozell 22 0 0 28 Feb 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 303 94 0 16 Feb 2021
How useful is Active Learning for Image-based Plant Phenotyping? Koushik Nagasubramanian Talukder Z. Jubery Fateme Fotouhi Ardakani S. Mirnezami Asheesh K. Singh Arti Singh Soumik Sarkar Baskar Ganapathysubramanian VLM 64 18 0 07 Jun 2020
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis Samuel Budd E. C. Robinson Bernhard Kainz LM&MA 73 485 0 07 Oct 2019