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09/15/2022
Towards Healing the Blindness of Score Matching
Score-based divergences have been widely used in machine learning and st...
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05/28/2022
Improving VAE-based Representation Learning
Latent variable models like the Variational Auto-Encoder (VAE) are commo...
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11/30/2021
Adaptive Optimization with Examplewise Gradients
We propose a new, more general approach to the design of stochastic grad...
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11/13/2018
Modular Networks: Learning to Decompose Neural Computation
Scaling model capacity has been vital in the success of deep learning. F...
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06/13/2018
Generating Sentences Using a Dynamic Canvas
We introduce the Attentive Unsupervised Text (W)riter (AUTR), which is a...
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07/07/2016
