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Found 6 papers, 1 papers with code
Towards Precision in Appearance-based Gaze Estimation in the Wild
Appearance-based gaze estimation systems have shown great progress recently, yet the performance of these techniques depend on the datasets used for training.
To show or not to show: Redacting sensitive text from videos of electronic displays
With the increasing prevalence of video recordings there is a growing need for tools that can maintain the privacy of those recorded.
Optical Character Recognition
Optical Character Recognition (OCR)
AAMDRL: Augmented Asset Management with Deep Reinforcement Learning
Can an agent learn efficiently in a noisy and self adapting environment with sequential, non-stationary and non-homogeneous observations?
Bridging the gap between Markowitz planning and deep reinforcement learning
While researchers in the asset management industry have mostly focused on techniques based on financial and risk planning techniques like Markowitz efficient frontier, minimum variance, maximum diversification or equal risk parity, in parallel, another community in machine learning has started working on reinforcement learning and more particularly deep reinforcement learning to solve other decision making problems for challenging task like autonomous driving, robot learning, and on a more conceptual side games solving like Go.
Time your hedge with Deep Reinforcement Learning
Can an asset manager plan the optimal timing for her/his hedging strategies given market conditions?
Decoding CNN based Object Classifier Using Visualization
This paper investigates how working of Convolutional Neural Network (CNN) can be explained through visualization in the context of machine perception of autonomous vehicles.
