🏢 Johns Hopkins University

CA-SSLR: a novel self-supervised learning model dynamically adapts to various speech tasks by integrating language and speaker embeddings, improving performance and reducing reliance on audio features…

This paper presents a novel algorithm for binary search using distributional predictions, achieving optimal query complexity O(H(p) + log n) and demonstrating enhanced robustness against prediction er…

Multi-task learning boosts adversarial robustness in transfer learning by leveraging diverse source data to build a shared representation, enabling effective learning in data-scarce target tasks, as p…