6 citations · 6 across the 2 of their papers we have counts for
3 papers
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions
Touqeer Ahmad, Mohsen Jafarzadeh, Akshay Raj Dhamija +4
There exists a distribution discrepancy between training and testing, in the way images are fed to modern CNNs. Recent work tried to bridge this gap either by fine-tuning or re-tra…
Self-Supervised Features Improve Open-World Learning
Akshay Raj Dhamija, Touqeer Ahmad, Jonathan Schwan +3
This paper identifies the flaws in existing open-world learning approaches and attempts to provide a complete picture in the form of \textbf{True Open-World Learning}. We accomplis…
A Unifying Framework for Formal Theories of Novelty:Framework, Examples and Discussion
T. E. Boult, P. A. Grabowicz, D. S. Prijatelj +11
Managing inputs that are novel, unknown, or out-of-distribution is critical as an agent moves from the lab to the open world. Novelty-related problems include being tolerant to nov…