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11/22/2021
Adaptive Transfer Learning: a simple but effective transfer learning
Transfer learning (TL) leverages previously obtained knowledge to learn ...
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07/25/2021
Deep Learning Explicit Differentiable Predictive Control Laws for Buildings
We present a differentiable predictive control (DPC) methodology for lea...
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06/02/2021
One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations
The field of few-shot learning has made remarkable strides in developing...
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04/08/2021
Prototypical Region Proposal Networks for Few-Shot Localization and Classification
Recently proposed few-shot image classification methods have generally f...
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01/06/2021
Constrained Block Nonlinear Neural Dynamical Models
Neural network modules conditioned by known priors can be effectively tr...
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11/26/2020
Physics-Informed Neural State Space Models via Learning and Evolution
Recent works exploring deep learning application to dynamical systems mo...
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11/26/2020