Search Results for author:
Found 2 papers, 0 papers with code
Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions
Active learning aims to identify the most informative data from an unlabeled data pool that enables a model to reach the desired accuracy rapidly.
HYPOCRITE: Homoglyph Adversarial Examples for Natural Language Web Services in the Physical World
Also, for these companies, various cloud companies (e. g., Amazon, Google, IBM, and Microsoft) are providing AI services as the form of Machine-Learning-as-a-Service (MLaaS).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
