191 citations · 217 across the 4 of their papers we have counts for
4 papers
Towards calibrated and scalable uncertainty representations for neural networks
Nabeel Seedat, Christopher Kanan
For many applications it is critical to know the uncertainty of a neural network's predictions. While a variety of neural network parameter estimation methods have been proposed fo…
VQD: Visual Query Detection in Natural Scenes
Manoj Acharya, Karan Jariwala, Christopher Kanan
We propose Visual Query Detection (VQD), a new visual grounding task. In VQD, a system is guided by natural language to localize a variable number of objects in an image. VQD is re…
Answer Them All! Toward Universal Visual Question Answering Models
Robik Shrestha, Kushal Kafle, Christopher Kanan
Visual Question Answering (VQA) research is split into two camps: the first focuses on VQA datasets that require natural image understanding and the second focuses on synthetic dat…
Measuring Catastrophic Forgetting in Neural Networks
Ronald Kemker, Marc McClure, Angelina Abitino +2
Deep neural networks are used in many state-of-the-art systems for machine perception. Once a network is trained to do a specific task, e.g., bird classification, it cannot easily…