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05/25/2023
Score-Based Multimodal Autoencoders
Multimodal Variational Autoencoders (VAEs) represent a promising group o...
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09/20/2020
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models
The discrepancy between maximum likelihood estimation (MLE) and task mea...
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09/06/2019
Differential Equation Units: Learning Functional Forms of Activation Functions from Data
Most deep neural networks use simple, fixed activation functions, such a...
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05/19/2019
Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions
Most deep neural networks use simple, fixed activation functions, such a...
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12/22/2018
Search-Guided, Lightly-supervised Training of Structured Prediction Energy Networks
In structured output prediction tasks, labeling ground-truth training ou...
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04/01/2015