research
∙
05/15/2023
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
This work examines the challenges of training neural networks using vect...
share
research
∙
09/26/2022
Totems: Physical Objects for Verifying Visual Integrity
We introduce a new approach to image forensics: placing physical refract...
research
∙
10/28/2021
Learning to Ground Multi-Agent Communication with Autoencoders
Communication requires having a common language, a lingua franca, betwee...
research
∙
03/18/2021
The Low-Rank Simplicity Bias in Deep Networks
Modern deep neural networks are highly over-parameterized compared to th...
research
∙
05/04/2020
Transforming and Projecting Images into Class-conditional Generative Networks
We present a method for projecting an input image into the space of a cl...
research
∙
05/10/2018
Fighting Fake News: Image Splice Detection via Learned Self-Consistency
Advances in photo editing and manipulation tools have made it significan...
research
∙
08/30/2016