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Cl-masr: A continual learning benchmark for multilingual asr
L Della Libera, P Mousavi, S Zaiem… - … on Audio, Speech …, 2024 - ieeexplore.ieee.org
Modern multilingual automatic speech recognition (ASR) systems like Whisper have made it
possible to transcribe audio in multiple languages with a single model. However, current …
possible to transcribe audio in multiple languages with a single model. However, current …
[PDF][PDF] Experience Replay Optimization via ESMM for Stable Deep Reinforcement Learning.
The memorization and reuse of experience, popularly known as experience replay (ER), has
improved the performance of off-policy deep reinforcement learning (DRL) algorithms such …
improved the performance of off-policy deep reinforcement learning (DRL) algorithms such …
Preserving Knowledge in Simulated Behavioral Action Loops
RS Clair - 2022 - search.proquest.com
One basic goal of artificial learning systems is the ability to continually learn throughout that
system's lifetime. Transitioning between tasks and re-deploying prior knowledge is thus a …
system's lifetime. Transitioning between tasks and re-deploying prior knowledge is thus a …