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Priyanka Agrawal
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  • Accomplishments
  • Publications & Patents
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Priyanka Agrawal
  • Home
  • Accomplishments
  • Publications & Patents
  • Education
  • More
    • Home
    • Accomplishments
    • Publications & Patents
    • Education

Publications & Patents

https://scholar.google.com/citations?hl=en&user=GPEL9FcAAAAJ

Publications

  • Priyanka Agrawal, Chris Alberti, Fantine Huot, Joshua Maynez, Ji Ma, Sebastian Ruder, Kuzman Ganchev, Dipanjan Das, Mirella Lapata. QAmeleon: Multilingual QA with Only 5 Examples. arXiv, 2022

  • Emmanouil Stergiadis, Priyanka Agarwal, Oliver Squire. Curriculum Meta-Learning for Few-shot Classification. Neural Information Processing Systems (NeurIPS) Workshop MetaLearn, 2021

  • Amar Prakash Azad, Dinesh Garg, Priyanka Agrawal and Arun Kumar. Deep Domain Adaptation under Deep Label Scarcity. ACM I-KDD Conference on Data Sciences, 2021

  • Priyanka Agrawal, Parag Jain, Ayushi Dalmia, Abhishek Bansal, Ashish Mittal, Karthik Sankaranarayanan. Unified Semantic Parsing with Weak Supervision. Association for Computational Linguistics (ACL), 2019

  • Sai Koti Reddy Dand, Amrita Saha, Srikanth G. Tamilselvam, Priyanka Agrawal, Pankaj Dayama: Risk Averse Reinforcement Learning for Mixed Multi-agent Environments. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019

  • Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain. OmniNet: A unified architecture for multi-modal multi-task learning. arXiv 2019

  • Anirban Laha, Saneem Ahmed, Priyanka Agrawal, Mitesh Khapra, Karthik Sankaranarayanan, Harish Ramaswamy. On Controllable Sparse Alternatives to Softmax. Neural Information Processing Systems (NeurIPS), 2018

  • Lavanya Tekumalla, Priyanka Agrawal and Indrajit Bhattacharya. Deep Infinite Admixture Models. Neural Information Processing Systems (NeurIPS) Workshop on Bayesian Deep Learning, 2018

  • Parag Jain, Priyanka Agrawal, Abhijit Mishra, Mohak Sukhwani, Anirban Laha, Karthik Sankaranarayanan. Story Generation from Sequence of Independent Short Descriptions. Knowledge Discovery and Data Mining (KDD) Workshop on ML for Creativity, 2017

  • Priyanka Agrawal, Vikas C. Raykar, and Amrita Saha. AUC Dominant Unsupervised Ensemble of Binary Classifiers. SIAM International Conference on Data Mining (SDM), 2014

  • Vikas C. Raykar and Priyanka Agrawal. Sequential Crowdsourced Labeling as an epsilon-greedy exploration in a Markov Decision Process. International Conference on Artificial Intelligence and Statistics (AISTATS), 2014

  • Priyanka Agrawal, Lavanya Tekumalla and Indrajit Bhattacharya. Nested Hierarchical Dirichlet Process for Non-Parametric Entity-Topic Analysis. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2013.

  • Priyanka Agrawal, Vikas Garg and Ramasuri Narayanam. Link Label Prediction in Signed Social Networks. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013.

  • Priyanka Agrawal, Shweta Gulati and R. Govindarajan. High Performance LINPACK on Graphics Processing Units (Poster). Grace Hopper Celebration 2010, Atlanta.


Patents

More than 25 patents filed with USPTO. Following are few :

  • System for Bidding on Multi-Modal Sub-Spaces for E-Commerce Searches US20190318406A1 . Co-inventors - Ayushi Dalmia, Jaikrishnan Hari, Sachindra Joshi, Vikas C Raykar, Raghavendra Singh

  • Neutralizing Propagation of Malicious Information US 20150067849 A1 . Co-inventors - Prithu Banerjee, Satya Rama Kumar, and Ravindranath Kokku

  • Determining Groups of Individuals Based on Multiple Items of Individual Transaction Data. US20160078453A1. Co-inventors - Indrajit Bhattacharya and Raghuram Krishnapuram

  • Returning search results utilizing topical user click data when search queries are dissimilar. US20180121429A1. Co-inventors - Man Chu, Steven M. Pritko, Justin A. Ziniel

  • Short-distance navigation provision, US10247567B2, Co-inventors - Pankaj S. Dayama, Amrita Saha, Srikanth Tamilselvam

  • Cognitive based Optimal grouping of users and Trip Planning based on learnt User Skills. US20180109924A1, Co-inventors - Pankaj S. Dayama, Amrita Saha, Srikanth Tamilselvam

  • Cognitive based Driving Anomaly Detection based on spatio-temporal Landscape specific Driving Model. US10252461B2, Co-inventors - Pankaj S. Dayama, Amrita Saha, Srikanth Tamilselvam

  • Cognitive Assistant for Co-Generating Creative Content US20200134089. Co-inventors - Anush Sankaran, Pranay Lohia, Disha Shrivastava, Anirban Laha, Parag Jain

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