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2020 – today
- 2022
[i4]Zhucheng Tu, Sarguna Janani Padmanabhan:
MIA 2022 Shared Task Submission: Leveraging Entity Representations, Dense-Sparse Hybrids, and Fusion-in-Decoder for Cross-Lingual Question Answering. CoRR abs/2207.01940 (2022)- 2020
- [i3]Griffin Adams, Sarguna Janani Padmanabhan, Shivang Shekhar:
Resolving Implicit Coordination in Multi-Agent Deep Reinforcement Learning with Deep Q-Networks & Game Theory. CoRR abs/2012.09136 (2020)
2010 – 2019
- 2018
- [c2]Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang:
XNMT: The eXtensible Neural Machine Translation Toolkit. AMTA (1) 2018: 185-192 - [c1]Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Padmanabhan, Graham Neubig:
When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation? NAACL-HLT (2) 2018: 529-535 - [i2]Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang:
XNMT: The eXtensible Neural Machine Translation Toolkit. CoRR abs/1803.00188 (2018) - [i1]Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Janani Padmanabhan, Graham Neubig:
When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation? CoRR abs/1804.06323 (2018)
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