Search Results for author:
Found 5 papers, 0 papers with code
Multi-Task Learning for Budbreak Prediction
Grapevine budbreak is a key phenological stage of seasonal development, which serves as a signal for the onset of active growth.
Grape Cold Hardiness Prediction via Multi-Task Learning
In this paper, we study whether deep learning models can improve cold hardiness prediction for grapes based on data that has been collected over a 30-year time period.
Formalizing the Problem of Side Effect Regularization
AI objectives are often hard to specify properly.
LeTS-Drive: Driving in a Crowd by Learning from Tree Search
LeTS-Drive leverages the robustness of planning and the runtime efficiency of learning to enhance the performance of both.
Exploring Convolutional Networks for End-to-End Visual Servoing
In this paper, we present an end-to-end learning based approach for visual servoing in diverse scenes where the knowledge of camera parameters and scene geometry is not available a priori.
