5 citations · 6 across the 3 of their papers we have counts for
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cs.LG2022
LAB: Learnable Activation Binarizer for Binary Neural Networks
Sieger Falkena, Hadi Jamali-Rad, Jan van Gemert
Binary Neural Networks (BNNs) are receiving an upsurge of attention for bringing power-hungry deep learning towards edge devices. The traditional wisdom in this space is to employ…
cs.CV2022★ 5 cited
Transductive Decoupled Variational Inference for Few-Shot Classification
Anuj Singh, Hadi Jamali-Rad
The versatility to learn from a handful of samples is the hallmark of human intelligence. Few-shot learning is an endeavour to transcend this capability down to machines. Inspired…
cs.CV2022★ 1 cited
Self-Supervised Class-Cognizant Few-Shot Classification
Ojas Kishore Shirekar, Hadi Jamali-Rad
Unsupervised learning is argued to be the dark matter of human intelligence. To build in this direction, this paper focuses on unsupervised learning from an abundance of unlabeled…