11 citations · 22 across the 11 of their papers we have counts for
3 papers · 1 filter
Idempotent Generative Network
Assaf Shocher, Amil Dravid, Yossi Gandelsman +3
We propose a new approach for generative modeling based on training a neural network to be idempotent. An idempotent operator is one that can be applied sequentially without changi…
Rosetta Neurons: Mining the Common Units in a Model Zoo
Amil Dravid, Yossi Gandelsman, Alexei A. Efros +1
Do different neural networks, trained for various vision tasks, share some common representations? In this paper, we demonstrate the existence of common features we call "Rosetta N…
DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels
Yunan Wu, Amil Dravid, Ramsey Michael Wehbe +1
Propose: To present DeepCOVID-Fuse, a deep learning fusion model to predict risk levels in patients with confirmed coronavirus disease 2019 (COVID-19) and to evaluate the performan…