1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov, Andrei Filatov, Teresa Yeo +2
When developing deep learning models, we usually decide what task we want to solve then search for a model that generalizes well on the task. An intriguing question would be: what…
cs.CV2022★ 1 cited
Simple Control Baselines for Evaluating Transfer Learning
Andrei Atanov, Shijian Xu, Onur Beker +2
Transfer learning has witnessed remarkable progress in recent years, for example, with the introduction of augmentation-based contrastive self-supervised learning methods. While a…
cs.LG2021
Fast Line Search for Multi-Task Learning
Andrey Filatov, Daniil Merkulov
Multi-task learning is a powerful method for solving several tasks jointly by learning robust representation. Optimization of the multi-task learning model is a more complex task t…