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12/07/2021
Few-Shot Image Classification Along Sparse Graphs
Few-shot learning remains a challenging problem, with unsatisfactory 1-s...
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03/05/2021
Set Representation Learning with Generalized Sliced-Wasserstein Embeddings
An increasing number of machine learning tasks deal with learning repres...
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06/16/2020
Wasserstein Embedding for Graph Learning
We present Wasserstein Embedding for Graph Learning (WEGL), a novel and ...
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02/12/2020
On parameter identification problems for elliptic boundary value problems in divergence form, Part I: An abstract framework
Parameter identification problems for partial differential equations are...
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06/26/2019
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
The unprecedented success of deep neural networks in various application...
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11/15/2017