73 citations · 107 across the 13 of their papers we have counts for
3 papers · 1 filter
Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models
Marouan Belhaj, Pavlos Protopapas, Weiwei Pan
In real-world applications, it is often expensive and time-consuming to obtain labeled examples. In such cases, knowledge transfer from related domains, where labels are abundant,…
Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights
Melanie F. Pradier, Weiwei Pan, Jiayu Yao +2
As machine learning systems get widely adopted for high-stake decisions, quantifying uncertainty over predictions becomes crucial. While modern neural networks are making remarkabl…
Learning Qualitatively Diverse and Interpretable Rules for Classification
Andrew Slavin Ross, Weiwei Pan, Finale Doshi-Velez
There has been growing interest in developing accurate models that can also be explained to humans. Unfortunately, if there exist multiple distinct but accurate models for some dat…