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Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach
This paper designs a sequential repeated game of a micro-founded society with three types of agents: individuals, insurers, and a government.
Lip-Listening: Mixing Senses to Understand Lips using Cross Modality Knowledge Distillation for Word-Based Models
In this work, we propose a technique to transfer speech recognition capabilities from audio speech recognition systems to visual speech recognizers, where our goal is to utilize audio data during lipreading model training.
Spatio-Temporal Attention Mechanism and Knowledge Distillation for Lip Reading
Despite the advancement in the domain of audio and audio-visual speech recognition, visual speech recognition systems are still quite under-explored due to the visual ambiguity of some phonemes.
EduPal leaves no professor behind: Supporting faculty via a peer-powered recommender system
The swift transitions in higher education after the COVID-19 outbreak identified a gap in the pedagogical support available to faculty.
Structured adaptive and random spinners for fast machine learning computations
We consider an efficient computational framework for speeding up several machine learning algorithms with almost no loss of accuracy.
