no code implementations • 30 May 2023 • Akshay Srinivasan, Sowmya Vajjala
Our results showed the NER models we explored across three languages (English, German and Hindi) are not very robust to such changes, as indicated by the fluctuations in the overall F1 score as well as in a more fine-grained evaluation.
no code implementations • 10 Apr 2022 • Kenzo Lobos-Tsunekawa, Akshay Srinivasan, Michael Spranger
Multi-agent RL is rendered difficult due to the non-stationary nature of environment perceived by individual agents.
1 code implementation • 14 Dec 2021 • Badr AlKhamissi, Akshay Srinivasan, Zeb-Kurth Nelson, Sam Ritter
Alchemy is a new meta-learning environment rich enough to contain interesting abstractions, yet simple enough to make fine-grained analysis tractable.
no code implementations • 2 Aug 2021 • Akshay Srinivasan, Emanuel Todorov
In this paper, we show that given the computational graph of the function, this bound can be reduced to $O(m\tau^3)$, where $\tau, m$ are the width and size of a tree-decomposition of the graph.