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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Rethinking 3D Convolution in โ p-norm Space
Neural Information Processing Systems
Convolution is a fundamental operation in the 3D backbone.
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Aligner: Efficient Alignment by Learning to Correct
Neural Information Processing Systems
Aligner can be applied to any powerful, large-scale upstream models. Moreover, it can even iteratively bootstrap the upstream models using corrected responses as synthetic human preference data, breaking through the model's performance ceiling.
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