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Conditional computation in neural networks: principles and research trends
This article summarizes principles and ideas from the emerging area of applying \textit{conditional computation} methods to the design of neural networks.
Adaptive Point Transformer
The recent surge in 3D data acquisition has spurred the development of geometric deep learning models for point cloud processing, boosted by the remarkable success of transformers in natural language processing.
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