Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning Xiuhong Lin
Neural Information Processing Systems
EP2T treats the event input as spatio-temporal point clouds.
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CogView: MasteringText-to-ImageGenerationvia Transformers
Neural Information Processing Systems
Then in the stage 2, an auto-regressive model (such as PixelCNN [47]) learns to fit the prior of hidden variables.
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