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publications

On the weak link between importance and prunability of attention heads
On the weak link between importance and prunability of attention heads
Aakriti Budhraja , Madhura Pande , Preksha Nema and more
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics.
On the Importance of Local Information in Transformer Based Models
On the Importance of Local Information in Transformer Based Models
Madhura Pande , Aakriti Budhraja , Preksha Nema and more
arXiv:2008.05828
Towards Transparent and Explainable Attention Models
Towards Transparent and Explainable Attention Models
Akash Kumar Mohankumar , Preksha Nema , Sharan Narasimhan and more
In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics.
Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources
Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources
Janarthanan Rajendran , Aravind Lakshminarayanan , Mitesh M Khapra and more
arXiv preprint arXiv:1510.02879
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Founded in August 2017, with a vision to become an internationally renowned centre for data science research, where long-standing fundamental research problems, cutting across disciplines, are targeted and solved.

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