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

27 January 2021

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

50 / 59 papers shown

Title
Generalization Analysis for Bayesian Optimal Experiment Design under Model Misspecification Roubing Tang Sabina J. Sloman Samuel Kaski CML 7 0 0 09 Jun 2025
Dependency-aware Maximum Likelihood Estimation for Active Learning Beyza Kalkanli Tales Imbiriba Stratis Ioannidis Deniz Erdogmus Jennifer Dy 61 0 0 07 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice Eric Heim Oren Wright David Shriver OOD FaML 117 0 0 01 Mar 2025
Bayesian Active Learning for Semantic Segmentation Sima Didari Wenjun Hu Jae Oh Woo Heng Hao Hankyu Moon Seungjai Min 123 1 0 03 Aug 2024
Downstream-Pretext Domain Knowledge Traceback for Active Learning Beichen Zhang Liang-Sheng Li Zheng-Jun Zha Jiebo Luo Qingming Huang 72 0 0 20 Jul 2024
Scoping Review of Active Learning Strategies and their Evaluation Environments for Entity Recognition Tasks Philipp Kohl Yoka Krämer Claudia Fohry Bodo Kraft 67 3 0 04 Jul 2024
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation Riccardo Fogliato Pratik Patil Mathew Monfort Pietro Perona 62 1 0 11 Jun 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers Dongyuan Li Zhen Wang Yankai Chen Xue Liu Weiping Ding Manabu Okumura 155 31 0 01 May 2024
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 97 8 0 15 Mar 2024
Direct Acquisition Optimization for Low-Budget Active Learning Zhuokai Zhao Yibo Jiang Yuxin Chen 82 1 0 08 Feb 2024
Active learning with biased non-response to label requests Thomas Robinson Niek Tax Richard Mudd Ido Guy 31 1 0 13 Dec 2023
ActiveDC: Distribution Calibration for Active Finetuning Wenshuai Xu Zhenhui Hu Yu Lu Jinzhou Meng Qingjie Liu Yunhong Wang 111 1 0 13 Nov 2023
Active Transfer Learning for Efficient Video-Specific Human Pose Estimation Hiromu Taketsugu Norimichi Ukita 53 1 0 08 Nov 2023
Bayesian Active Learning in the Presence of Nuisance Parameters Sabina J. Sloman Ayush Bharti Julien Martinelli Samuel Kaski 85 4 0 23 Oct 2023
Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation Juan Elenter Navid Naderializadeh Tara Javidi Alejandro Ribeiro CLL 102 3 0 29 Sep 2023
Anchor Points: Benchmarking Models with Much Fewer Examples Rajan Vivek Kawin Ethayarajh Diyi Yang Douwe Kiela ALM 114 28 0 14 Sep 2023
ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP Philipp Kohl Nils Freyer Yoka Krämer H. Werth Steffen Wolf Bodo Kraft Matthias Meinecke Albert Zündorf 118 1 0 01 Aug 2023
Provably Efficient Bayesian Optimization with Unknown Gaussian Process Hyperparameter Estimation Huong Ha Vu-Linh Nguyen Hung Tran-The Hongyu Zhang Xiuzhen Zhang Anton Van Den Hengel 73 1 0 12 Jun 2023
D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias Sabit Hassan Malihe Alikhani AI4CE 63 10 0 26 May 2023
On Dataset Transferability in Active Learning for Transformers Fran Jelenić Josip Jukić Nina Drobac Jan vSnajder 66 2 0 16 May 2023
Metrics for Bayesian Optimal Experiment Design under Model Misspecification Tommie A. Catanach Niladri Das 53 5 0 17 Apr 2023
Controllable Textual Inversion for Personalized Text-to-Image Generation Jianan Yang Haobo Wang Yanming Zhang Rui Xiao Sai Wu Gang Chen Jiaqi Zhao DiffM 98 12 0 11 Apr 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 119 88 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 90 9 0 16 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 72 5 0 11 Feb 2023
Robust online active learning Davide Cacciarelli M. Kulahci J. Tyssedal 38 13 0 01 Feb 2023
Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples Henrik Imberg Xiaomi Yang Carol Flannagan Jonas Bärgman 103 10 0 20 Dec 2022
Margin-based sampling in high dimensions: When being active is less efficient than staying passive A. Tifrea Jacob Clarysse Fanny Yang 52 5 0 01 Dec 2022
Time-Aware Datasets are Adaptive Knowledgebases for the New Normal Abhijit Suprem Sanjyot Vaidya J. Ferreira C. Pu 58 2 0 22 Nov 2022
General Intelligence Requires Rethinking Exploration Minqi Jiang Tim Rocktaschel Edward Grefenstette LRM 74 20 0 15 Nov 2022
CEREAL: Few-Sample Clustering Evaluation Nihal V. Nayak Ethan R. Elenberg Clemens Rosenbaum 63 0 0 30 Sep 2022
Breaking Feedback Loops in Recommender Systems with Causal Inference K. Krauth Yixin Wang Michael I. Jordan CML 88 19 0 04 Jul 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 48 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 119 165 0 14 Jun 2022
Is More Data All You Need? A Causal Exploration Athanasios Vlontzos Hadrien Reynaud Bernhard Kainz CML 63 2 0 06 Jun 2022
Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias Sabina J. Sloman Daniel M. Oppenheimer S. Broomell C. Shalizi 79 8 0 27 May 2022
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling Andreas Kirsch Jannik Kossen Y. Gal UQCV BDL 97 3 0 18 May 2022
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection Peter Henderson Ben Chugg Brandon R. Anderson Kristen M. Altenburger Alex Turk J. Guyton Jacob Goldin Daniel E. Ho OffRL 50 10 0 25 Apr 2022
A Framework and Benchmark for Deep Batch Active Learning for Regression David Holzmüller Viktor Zaverkin Johannes Kastner Ingo Steinwart UQCV BDL GP 106 37 0 17 Mar 2022
Passive and Active Learning of Driver Behavior from Electric Vehicles Federica Comuni Christopher Mészáros Niklas Åkerblom M. Chehreghani 66 5 0 04 Mar 2022
A Lagrangian Duality Approach to Active Learning Juan Elenter Navid Naderializadeh Alejandro Ribeiro 70 23 0 08 Feb 2022
Improving Probabilistic Models in Text Classification via Active Learning M. Bosley Saki Kuzushima Ted Enamorado Y. Shiraito 22 2 0 05 Feb 2022
TrustAL: Trustworthy Active Learning using Knowledge Distillation Beong-woo Kwak Youngwook Kim Yu Jin Kim Seung-won Hwang Jinyoung Yeo 41 7 0 26 Jan 2022
Addressing Bias in Active Learning with Depth Uncertainty Networks... or Not Chelsea Murray J. Allingham Javier Antorán José Miguel Hernández-Lobato AI4CE 64 4 0 13 Dec 2021
Depth Uncertainty Networks for Active Learning Chelsea Murray J. Allingham Javier Antorán José Miguel Hernández-Lobato UQCV AI4CE 67 2 0 13 Dec 2021
Docking-based Virtual Screening with Multi-Task Learning Zijing Liu Xianbin Ye Xiaomin Fang Fan Wang Hua Wu Haifeng Wang 47 2 0 18 Nov 2021
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data Andrew Jesson P. Tigas Joost R. van Amersfoort Andreas Kirsch Uri Shalit Y. Gal CML 109 32 0 03 Nov 2021
Class-Balanced Active Learning for Image Classification Javad Zolfaghari Bengar Joost van de Weijer Laura Lopez-Fuentes Bogdan Raducanu 58 24 0 09 Oct 2021
Robust Contrastive Active Learning with Feature-guided Query Strategies R. Krishnan Nilesh A. Ahuja Alok Sinha Mahesh Subedar Omesh Tickoo Ravi Iyer 60 1 0 13 Sep 2021
Mitigating Sampling Bias and Improving Robustness in Active Learning R. Krishnan Alok Sinha Nilesh A. Ahuja Mahesh Subedar Omesh Tickoo R. Iyer 66 9 0 13 Sep 2021