Erik Learned-Miller

An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training

2023 · arXiv (Cornell University)

We present a model that can perform multiple vision tasks and can be adapted to other downstream tasks efficiently. Despite considerable progress in multi-task learning, most efforts focus on learning from multi-label data: a single …

From Neural Re-Ranking to Neural Ranking

2018

The availability of massive data and computing power allowing for effective data driven neural approaches is having a major impact on machine learning and information retrieval research, but these models have a basic problem with …