Introduction: Technical burdens and time-intensive review processes limi...
Language instructions and demonstrations are two natural ways for users ...
Learning structured representations of the visual world in terms of obje...
Given the rise of large-scale training regimes, adapting pre-trained mod...
Two major causes of death in the United States and worldwide are stroke ...
While self-supervised learning has enabled effective representation lear...
In this work, we propose a mutual information (MI) based unsupervised do...
Exercise testing has been available for more than a half-century and is ...
Humans are able to rapidly understand scenes by utilizing concepts extra...
Advancement in digital pathology and artificial intelligence has enabled...
Self-supervised representation learning has shown remarkable success in ...
In recent years, the availability of digitized Whole Slide Images (WSIs)...
Contrastive learning has recently seen tremendous success in self-superv...
Building Automatic Speech Recognition (ASR) systems for code-switched sp...
We construct an unsupervised learning model that achieves nonlinear
dise...
Capturing the structure of a data-generating process by means of appropr...
Perceiving the world in terms of objects is a crucial prerequisite for
r...
With the increasing number of cybersecurity threats, it becomes more
dif...
Carefully crafted, often imperceptible, adversarial perturbations have b...
We propose Max-Margin Adversarial (MMA) training for directly maximizing...
Deep neural networks (DNNs) are vulnerable to adversarial examples,
pert...
Deep neural networks (DNNs) are vulnerable to adversarial examples, even...
Deep neural networks (DNNs) are vulnerable to adversarial examples,
pert...
Feature Squeezing is a recently proposed defense method which reduces th...
The Madry Lab recently hosted a competition designed to test the robustn...
Recent studies have highlighted the vulnerability of deep neural network...
Deep neural networks (DNNs) are one of the most prominent technologies o...