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10/11/2022
Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents
We investigate semi-structured document classification in a zero-shot se...
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03/16/2022
Label Semantics for Few Shot Named Entity Recognition
We study the problem of few shot learning for named entity recognition. ...
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11/24/2020
REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning
Accelerating the learning processes for complex tasks by leveraging prev...
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01/02/2020
Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks
Simulation-to-simulation and simulation-to-real world transfer of neural...
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11/13/2019
SAVEHR: Self Attention Vector Representations for EHR based Personalized Chronic Disease Onset Prediction and Interpretability
Chronic disease progression is emerging as an important area of investme...
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11/05/2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
DeepRacer is a platform for end-to-end experimentation with RL and can b...
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03/06/2019
The AI Driving Olympics at NeurIPS 2018
Despite recent breakthroughs, the ability of deep learning and reinforce...
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02/07/2019
