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Mahalanobis-Aware Training for Out-of-Distribution Detection
While deep learning models have seen widespread success in controlled environments, there are still barriers to their adoption in open-world settings.
Network Fault-tolerant and Byzantine-resilient Social Learning via Collaborative Hierarchical Non-Bayesian Learning
On network communication, we consider packet-dropping link failures.
Fast and Robust State Estimation and Tracking via Hierarchical Learning
In both algorithms, we use a novel hierarchical push-sum consensus component.
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