27 citations · 28 across the 5 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.LG2022
TAME: Task Agnostic Continual Learning using Multiple Experts
Haoran Zhu, Maryam Majzoubi, Arihant Jain +1
The goal of lifelong learning is to continuously learn from non-stationary distributions, where the non-stationarity is typically imposed by a sequence of distinct tasks. Prior wor…
cs.LG2022★ 27 cited
A Closer Look at Smoothness in Domain Adversarial Training
Harsh Rangwani, Sumukh K Aithal, Mayank Mishra +2
Domain adversarial training has been ubiquitous for achieving invariant representations and is used widely for various domain adaptation tasks. In recent times, methods converging…