113 citations · 120 across the 7 of their papers we have counts for
3 papers · 1 filter
Self-Initiated Open World Learning for Autonomous AI Agents
Bing Liu, Eric Robertson, Scott Grigsby +1
As more and more AI agents are used in practice, it is time to think about how to make these agents fully autonomous so that they can learn by themselves in a self-motivated and se…
Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP
Sepideh Esmaeilpour, Bing Liu, Eric Robertson +1
In an out-of-distribution (OOD) detection problem, samples of known classes(also called in-distribution classes) are used to train a special classifier. In testing, the classifier…
Handwriting Recognition with Novelty
Derek S. Prijatelj, Samuel Grieggs, Futoshi Yumoto +2
This paper introduces an agent-centric approach to handle novelty in the visual recognition domain of handwriting recognition (HWR). An ideal transcription agent would rival or sur…