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Stephane Pateux

2 accepted papers

2023

Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification

AISTATS 2023poster

Transductive Few-Shot learning has gained increased attention nowadays considering the cost of data annotations along with the increased accuracy provided by unlabelled samples in the domain of few shot. Especially in Few-Shot Classification (FSC), recent works explore the feature distributions aimi…

Cited by 24SourcePDFScholar
2019

MFAS: Multimodal Fusion Architecture Search

CVPR 2019poster

We tackle the problem of finding good architectures for multimodal classification problems. We propose a novel and generic search space that spans a large number of possible fusion architectures. In order to find an optimal architecture for a given dataset in the proposed search space, we leverage a…

Cited by 246PDFScholar