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Conformer-1: A robust speech recognition model trained on 650K hours of data

AssemblyAI

To do this, we introduce a number of modifications to the original Conformer architecture. These changes yield speedups of 29% at inference time and 36% at training time with respect to the original, unmodified Conformer architecture, while at the same time achieving better or similar word-error-rate accuracy.

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Introducing ?YOLO-NAS: A New State-of-the-Art for Object Detection

Heartbeat

But just because we have all these YOLOs doesn’t mean that deep learning for object detection is a dormant area of research. At Deci, a team of researchers aimed to create a model that would stand out amongst the rest. YOLO-NAS has a dual-path backbone with dense feature extraction and sparse feature fusion paths.