Jiaqi Ma

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

2018

Neural-based multi-task learning has been successfully used in many real-world large-scale applications such as recommendation systems. For example, in movie recommendations, beyond providing users movies which they tend to purchase and watch, the system might …

Efficient Ensembles Improve Training Data Attribution

2024 · arXiv (Cornell University)

Training data attribution (TDA) methods aim to quantify the influence of individual training data points on the model predictions, with broad applications in data-centric AI, such as mislabel detection, data selection, and copyright compensation. However, …