Training-free neural active learning with initialization robustness guarantees

Neural active learning techniques so far have focused on enhancing the predic- tive capabilities of the networks. However, safety-critical applications necessi- tate not only good predictive performance but also robustness to randomness in the model-fitting process. To address this, we present th...

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Bibliographic Details
Main Author: Singh, Jasraj
Other Authors: Tong Ping
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166498
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Institution: Nanyang Technological University
Language: English