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01/21/2022
Representing Long-Range Context for Graph Neural Networks with Global Attention
Graph neural networks are powerful architectures for structured datasets...
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11/25/2020
Distributed Reinforcement Learning is a Dataflow Problem
Researchers and practitioners in the field of reinforcement learning (RL...
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05/28/2020
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Transformers are ubiquitous in Natural Language Processing (NLP) tasks, ...
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04/24/2020