research
∙
07/19/2021
Equivariant Manifold Flows
Tractably modelling distributions over manifolds has long been an import...
share
research
∙
06/18/2020
Neural Manifold Ordinary Differential Equations
To better conform to data geometry, recent deep generative modelling tec...
research
∙
02/29/2020
Differentiating through the Fréchet Mean
Recent advances in deep representation learning on Riemannian manifolds ...
research
∙
07/23/2019
Enhancing Adversarial Example Transferability with an Intermediate Level Attack
Neural networks are vulnerable to adversarial examples, malicious inputs...
research
∙
04/19/2019
Fashion++: Minimal Edits for Outfit Improvement
Given an outfit, what small changes would most improve its fashionabilit...
research
∙
12/04/2018
Adversarial Example Decomposition
Research has shown that widely used deep neural networks are vulnerable ...
research
∙
11/20/2018
Intermediate Level Adversarial Attack for Enhanced Transferability
Neural networks are vulnerable to adversarial examples, malicious inputs...
research
∙
07/02/2018
Semantic Segmentation with Scarce Data
Semantic segmentation is a challenging vision problem that usually neces...
research
∙
12/06/2017