Summary of Maximally Separated Active Learning, by Tejaswi Kasarla et al.
Maximally Separated Active Learningby Tejaswi Kasarla, Abhishek Jha, Faye Tervoort, Rita Cucchiara, Pascal MettesFirst submitted…
Maximally Separated Active Learningby Tejaswi Kasarla, Abhishek Jha, Faye Tervoort, Rita Cucchiara, Pascal MettesFirst submitted…
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentationby M.M.A. Valiuddin, R.J.G. van…
Benchmarking Active Learning for NILMby Dhruv Patel, Ankita Kumari Jain, Haikoo Khandor, Xhitij Choudhary, Nipun…
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentationby Arvind Murari Vepa,…
Influence functions and regularity tangents for efficient active learningby Frederik EatonFirst submitted to arxiv on:…
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Trainingby Shreen Gul,…
Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damageby Vincent Mai, Quang Hung…
Stream-Based Active Learning for Process Monitoringby Christian Capezza, Antonio Lepore, Kamran PaynabarFirst submitted to arxiv…
Targeting Negative Flips in Active Learning using Validation Setsby Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegibFirst…
Deep Active Learning in the Open Worldby Tian Xie, Jifan Zhang, Haoyue Bai, Robert NowakFirst…