3 papers
cs.CV2021
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities
Elias Eulig, Piyapat Saranrittichai, Chaithanya Kumar Mummadi +4
Common deep neural networks (DNNs) for image classification have been shown to rely on shortcut opportunities (SO) in the form of predictive and easy-to-represent visual factors. T…
cs.LG2019
Relational Generalized Few-Shot Learning
Xiahan Shi, Leonard Salewski, Martin Schiegg +2
Transferring learned models to novel tasks is a challenging problem, particularly if only very few labeled examples are available. Although this few-shot learning setup has receive…
cs.LG2019
The Functional Neural Process
Christos Louizos, Xiahan Shi, Klamer Schutte +1
We present a new family of exchangeable stochastic processes, the Functional Neural Processes (FNPs). FNPs model distributions over functions by learning a graph of dependencies on…