Search Results for author:
Found 7 papers, 0 papers with code
Region-level labels in ice charts can produce pixel-level segmentation for Sea Ice types
Fully supervised deep learning approaches have demonstrated impressive accuracy in sea ice classification, but their dependence on high-resolution labels presents a significant challenge due to the difficulty of obtaining such data.
Mix of Experts Language Model for Named Entity Recognition
Named Entity Recognition (NER) is an essential steppingstone in the field of natural language processing.
Few-shot Name Entity Recognition on StackOverflow
StackOverflow, with its vast question repository and limited labeled examples, raise an annotation challenge for us.
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark
We present the design of a centralized benchmark for Reinforcement Learning which can help measure Sample Efficiency and Generalization in Reinforcement Learning by doing end to end evaluation of the training and rollout phases of thousands of user submitted code bases in a scalable way.
Same-Day Delivery with Fairness
The demand for same-day delivery (SDD) has increased rapidly in the last few years and has particularly boomed during the COVID-19 pandemic.
Deep Learning for Content-based Personalized Viewport Prediction of 360-Degree VR Videos
In this paper, the problem of head movement prediction for virtual reality videos is studied.
Deep Q-Learning for Same-Day Delivery with Vehicles and Drones
In a systematic computational analysis, we show the superiority of our policy compared to benchmark policies and the effectiveness of our deep Q-learning approach.
