Deep Learning
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Pretraining Vision Transformers (ViTs) has achieved great success in visual recognition.
Iterative Amortized Policy Optimization Joseph Marino
Given this perspective, we consider the more flexible class of iterative amortized optimizers.
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach
We propose a fully differentiable architecture for simultaneous semantic and instance segmentation (a.k.a.
Google AI email summaries can be hacked to hide phishing attacks
Fox News anchor Bret Baier examines the U.S. power supply on'Special Report.' Artificial intelligence is everywhere these days -- in your phone, your car, even your washing machine. I saw one just the other day featuring built-in AI. And while that might sound a little over the top, there's no denying that artificial intelligence has made life easier in a lot of ways. From boosting productivity to unlocking new creative tools, it's changing how we work and live.
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception Joel Dapello
Recent work has proposed adding biologically-inspired components to visual neural networks as a way to improve their adversarial robustness. One surprisingly effective component for reducing adversarial vulnerability is response stochasticity, like that exhibited by biological neurons.
