1 code implementation • 19 Apr 2021 • Piyushi Manupriya, Tarun Ram Menta, J. Saketha Nath, Vineeth N Balasubramanian
This work explores the novel idea of learning a submodular scoring function to improve the specificity/selectivity of existing feature attribution methods.
no code implementations • NAACL 2018 • Ayush Maheshwari, Vishwajeet Kumar, Ganesh Ramakrishnan, J. Saketha Nath
We present a system for resolving entities and disambiguating locations based on publicly available web data in the domain of ancient Hindu Temples.
no code implementations • NeurIPS 2020 • J. Saketha Nath, Pratik Jawanpuria
This work takes the novel approach of posing statistical OT as that of learning the transport plan's kernel mean embedding from sample based estimates of marginal embeddings.
1 code implementation • 10 Nov 2020 • Piyushi Manupriya, J. Saketha Nath, Pratik Jawanpuria
Further, for real-world applications involving non-discrete measures, we present an estimator for the transport plan that is supported only on the given ($m$) samples.