no code implementations • EACL (LTEDI) 2021 • Pankaj Singh, Prince Kumar, Pushpak Bhattacharyya
This paper presents our system for the shared task Hope Speech Detection for Equality, Diversity, and Inclusion at LT-EDI, EACL 2021.
1 code implementation • 12 Oct 2022 • Megh Shukla, Roshan Roy, Pankaj Singh, Shuaib Ahmed, Alexandre Alahi
We begin with a simple premise: pose estimators often predict incoherent poses for out-of-distribution samples.
no code implementations • 24 Mar 2022 • Karthikeyan K, Shaily Bhatt, Pankaj Singh, Somak Aditya, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury
We compare the TEA CheckLists with CheckLists created with different levels of human intervention.
no code implementations • 22 Oct 2021 • Pankaj Singh, Sudhakar Singh, P K Mishra, Rakhi Garg
Recently, a number of FIM algorithms have been designed on Hadoop MapReduce, a distributed big data processing framework.
no code implementations • 13 Dec 2019 • Pankaj Singh, Sudhakar Singh, P. K. Mishra, Rakhi Garg
Initially, a number of frequent itemset mining (FIM) algorithms have been designed on the Hadoop MapReduce, a distributed big data processing framework.
no code implementations • 30 Jun 2019 • Sudhakar Singh, Pankaj Singh, Rakhi Garg, P. K. Mishra
The considered computing environments are sequential computing, parallel and distributed computing, grid computing and cloud computing.
no code implementations • 28 May 2018 • Vishal Kaushal, Anurag Sahoo, Khoshrav Doctor, Narasimha Raju, Suyash Shetty, Pankaj Singh, Rishabh Iyer, Ganesh Ramakrishnan
Supervised machine learning based state-of-the-art computer vision techniques are in general data hungry and pose the challenges of not having adequate computing resources and of high costs involved in human labeling efforts.