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

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

27 January 2021

Sebastian Farquhar

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

17 / 17 papers shown

Title
Direct Acquisition Optimization for Low-Budget Active Learning Zhuokai Zhao Yibo Jiang Yuxin Chen 39 1 0 08 Feb 2024
Anchor Points: Benchmarking Models with Much Fewer Examples Rajan Vivek Kawin Ethayarajh Diyi Yang Douwe Kiela ALM 29 22 0 14 Sep 2023
Metrics for Bayesian Optimal Experiment Design under Model Misspecification Tommie A. Catanach Niladri Das 8 4 0 17 Apr 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 37 77 0 28 Feb 2023
Gaussian Switch Sampling: A Second Order Approach to Active Learning Ryan Benkert Mohit Prabhushankar Ghassan Al-Regib Armin Pacharmi E. Corona AAML 26 9 0 16 Feb 2023
Time-Aware Datasets are Adaptive Knowledgebases for the New Normal Abhijit Suprem Sanjyot Vaidya J. Ferreira C. Pu 32 2 0 22 Nov 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios Xueying Zhan Zeyu Dai Qingzhong Wang Qing Li Haoyi Xiong Dejing Dou Antoni B. Chan OODD 11 3 0 04 Jul 2022
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt Sören Mindermann J. Brauner Muhammed Razzak Mrinank Sharma Andreas Kirsch ... Benedikt Höltgen Aidan Gomez Adrien Morisot Sebastian Farquhar Y. Gal 62 149 0 14 Jun 2022
Is More Data All You Need? A Causal Exploration Athanasios Vlontzos Hadrien Reynaud Bernhard Kainz CML 29 2 0 06 Jun 2022
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling Andreas Kirsch Jannik Kossen Y. Gal UQCV BDL 58 3 0 18 May 2022
Passive and Active Learning of Driver Behavior from Electric Vehicles Federica Comuni Christopher Mészáros Niklas Åkerblom M. Chehreghani 26 5 0 04 Mar 2022
Robust Contrastive Active Learning with Feature-guided Query Strategies R. Krishnan Nilesh A. Ahuja Alok Sinha Mahesh Subedar Omesh Tickoo Ravi Iyer 26 1 0 13 Sep 2021
Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers Andreas Kirsch Tom Rainforth Y. Gal OOD TTA 39 22 0 22 Jun 2021
Active Testing: Sample-Efficient Model Evaluation Jannik Kossen Sebastian Farquhar Y. Gal Tom Rainforth VLM 21 48 0 09 Mar 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 210 81 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 S. Sarkar Baskar Ganapathysubramanian VLM 26 16 0 07 Jun 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015