Summary of Provably Accurate Shapley Value Estimation Via Leverage Score Sampling, by Christopher Musco and R. Teal Witter
Provably Accurate Shapley Value Estimation via Leverage Score Samplingby Christopher Musco, R. Teal WitterFirst submitted…
Provably Accurate Shapley Value Estimation via Leverage Score Samplingby Christopher Musco, R. Teal WitterFirst submitted…
Differentially Private Active Learning: Balancing Effective Data Selection and Privacyby Kristian Schwethelm, Johannes Kaiser, Jonas…
Towards an active-learning approach to resource allocation for population-based damage prognosisby George Tsialiamanis, Keith Worden,…
A3: Active Adversarial Alignment for Source-Free Domain Adaptationby Chrisantus Eze, Christopher CrickFirst submitted to arxiv…
Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitatsby…
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selectionby Qian Shao, Jiangrui Kang, Qiyuan Chen,…
MALADY: Multiclass Active Learning with Auction Dynamics on Graphsby Gokul Bhusal, Kevin Miller, Ekaterina MerkurjevFirst…
Active Learning to Guide Labeling Efforts for Question Difficulty Estimationby Arthur Thuy, Ekaterina Loginova, Dries…
Bounds on the Generalization Error in Active Learningby Vincent Menden, Yahya Saleh, Armin IskeFirst submitted…
DEMAU: Decompose, Explore, Model and Analyse Uncertaintiesby Arthur Hoarau, Vincent LemaireFirst submitted to arxiv on:…