Fair transfer learning with missing protected attributes
Amanda Coston, Karthikeyan Natesan Ramamurthy, et al.
AIES 2019
Olfaction, the sense of smell, has received scant attention from a signal processing perspective in comparison to audition and vision. In this paper, we develop a signal processing paradigm for olfactory signals based on new scientific discoveries including the psychophysics concept of olfactory white. We describe a framework for predicting the perception of odorant compounds from their physicochemical features and use the prediction as a foundation for several downstream processing tasks. We detail formulations for odor cancellation and food steganography, and provide real-world empirical examples for the two tasks. We also discuss adaptive filtering and other olfactory signal processing tasks at a high level.
Amanda Coston, Karthikeyan Natesan Ramamurthy, et al.
AIES 2019
Lav R. Varshney, Florian Pinel, et al.
IBM J. Res. Dev
Shubham Sharma, Yunfeng Zhang, et al.
AIES 2020
Michiel A. Bakker, Humberto Riverón Valdés, et al.
SafeAI 2020