1 citations · 2 across the 8 of their papers we have counts for
3 papers · 1 filter
Learning to Segment using Summary Statistics and Weak Supervision
Omkar Kulkarni, Edward Raff, Tim Oates
Medical experts often manually segment images to obtain diagnostic statistics and discard the resulting annotations. We aim to train segmentation models to alleviate this burden, b…
DeBUGCN -- Detecting Backdoors in CNNs Using Graph Convolutional Networks
Akash Vartak, Khondoker Murad Hossain, Tim Oates
Deep neural networks (DNNs) are becoming commonplace in critical applications, making their susceptibility to backdoor (trojan) attacks a significant problem. In this paper, we int…
Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations
Mohammad Mahmudul Alam, Edward Raff, Tim Oates
While deep learning has enjoyed significant success in computer vision tasks over the past decade, many shortcomings still exist from a Cognitive Science (CogSci) perspective. In p…