In light of the recent widespread adoption of AI systems, understanding ...
How do neural networks extract patterns from pixels? Feature visualizati...
Learning structured representations of the visual world in terms of obje...
Hundreds of defenses have been proposed to make deep neural networks rob...
One widely used approach towards understanding the inner workings of dee...
Contrastive learning has recently seen tremendous success in self-superv...
Feature visualizations such as synthetic maximally activating images are...
A recent paper by Liu et al. combines the topics of adversarial training...
We present Simion Zoo, a Reinforcement Learning (RL) workbench that prov...
We present an auxiliary task to Mask R-CNN, an instance segmentation net...