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06/15/2023
Understanding Parameter Sharing in Transformers
Parameter sharing has proven to be a parameter-efficient approach. Previ...
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06/07/2023
MobileNMT: Enabling Translation in 15MB and 30ms
Deploying NMT models on mobile devices is essential for privacy, low lat...
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10/12/2021
LightSeq2: Accelerated Training for Transformer-based Models on GPUs
Transformer-based neural models are used in many AI applications. Traini...
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10/23/2020
LightSeq: A High Performance Inference Library for Transformers
Transformer, BERT and their variants have achieved great success in natu...
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06/07/2020
Multi-Task Reinforcement Learning based Mobile Manipulation Control for Dynamic Object Tracking and Grasping
Agile control of mobile manipulator is challenging because of the high c...
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04/01/2020