Summary of Uncertainty Herding: One Active Learning Method For All Label Budgets, by Wonho Bae et al.
Uncertainty Herding: One Active Learning Method for All Label Budgetsby Wonho Bae, Gabriel L. Oliveira,…
Summary of Uncertainty Quantification in Continual Open-world Learning, by Amanda S. Rios et al.
Uncertainty Quantification in Continual Open-World Learningby Amanda S. Rios, Ibrahima J. Ndiour, Parual Datta, Jaroslaw…
Summary of Galot: Generative Active Learning Via Optimizable Zero-shot Text-to-image Generation, by Hanbin Hong et al.
GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generationby Hanbin Hong, Shenao Yan, Shuya Feng,…
Summary of Superposition Through Active Learning Lens, by Akanksha Devkar
Superposition through Active Learning lensby Akanksha DevkarFirst submitted to arxiv on: 5 Dec 2024CategoriesMain: Machine…
Summary of Autoscilab: a Self-driving Laboratory For Interpretable Scientific Discovery, by Saaketh Desai et al.
AutoSciLab: A Self-Driving Laboratory For Interpretable Scientific Discoveryby Saaketh Desai, Sadhvikas Addamane, Jeffrey Y. Tsao,…
Summary of Abc3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments, by Taehun Cha and Donghun Lee
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experimentsby Taehun Cha, Donghun LeeFirst…
Summary of Cual: Continual Uncertainty-aware Active Learner, by Amanda Rios et al.
CUAL: Continual Uncertainty-aware Active Learnerby Amanda Rios, Ibrahima Ndiour, Parual Datta, Jerry Sydir, Omesh Tickoo,…
Summary of The Cost Of Replicability in Active Learning, by Rupkatha Hira et al.
The Cost of Replicability in Active Learningby Rupkatha Hira, Dominik Kau, Jessica SorrellFirst submitted to…
Summary of Safe Active Learning For Gaussian Differential Equations, by Leon Glass and Katharina Ensinger and Christoph Zimmer
Safe Active Learning for Gaussian Differential Equationsby Leon Glass, Katharina Ensinger, Christoph ZimmerFirst submitted to…
Summary of Quantifying the Prediction Uncertainty Of Machine Learning Models For Individual Data, by Koby Bibas
Quantifying the Prediction Uncertainty of Machine Learning Models for Individual Databy Koby BibasFirst submitted to…