Pranav Maneriker

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 24

Top Topics

Multitask Learning

Question Answering

Natural Language

Top Venues

Publications

Pranav Maneriker, Codi Burley, Srinivasan Parthasarathy
Online Fairness Auditing through Iterative Refinement. KDD (2023)
Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress. Trans. Mach. Learn. Res. 2022 (2022)
Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy
StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets. CoRR (2021)
Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
Open Intent Extraction from Natural Language Interactions (Extended Abstract). IJCAI (2021)
Pranav Maneriker, Jack W. Stokes, Edir Garcia Lazo, Diana Carutasu, Farid Tajaddodianfar, Arun Gururajan
URLTran: Improving Phishing URL Detection Using Transformers. CoRR (2021)
Pranav Maneriker, Jack W. Stokes, Edir Garcia Lazo, Diana Carutasu, Farid Tajaddodianfar, Arun Gururajan
URLTran: Improving Phishing URL Detection Using Transformers. MILCOM (2021)
Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis. EMNLP (1) (2021)
Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt, Pranav Maneriker, Christopher Myers, Srinivasan Parthasarathy
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing. CVPR Workshops (2020)
Bortik Bandyopadhyay, Pranav Maneriker, Vedang Patel, Saumya Yashmohini Sahai, Ping Zhang, Srinivasan Parthasarathy
DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings. CoRR (2020)
Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt, Pranav Maneriker, Christopher Myers, Srinivasan Parthasarathy
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing. CoRR (2020)
Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
Open Intent Extraction from Natural Language Interactions. WWW (2020)
Ritwick Chaudhry, Sumit Shekhar, Utkarsh Gupta, Pranav Maneriker, Prann Bansal, Ajay Joshi
LEAF-QA: Locate, Encode & Attend for Figure Question Answering. WACV (2020)
Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy
Network Representation Learning: Consolidation and Renewed Bearing. CoRR (2019)
Ritwik Sinha, Dhruv Singal, Pranav Maneriker, Kushal Chawla, Yash Shrivastava, Deepak Pai, Atanu R. Sinha
Forecasting Granular Audience Size for Online Advertising. CoRR (2019)
Pranav Maneriker, Nikhita Vedula, Hussein S. Al-Olimat, Jiayong Liang, Omar El-Khoury, Ethan J. Kubatko, Desheng Liu, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth, Srinivasan Parthasarathy
A Pipeline for Disaster Response and Relief Coordination. SIGIR (2019)
Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
Towards Open Intent Discovery for Conversational Text. CoRR (2019)
Ritwick Chaudhry, Sumit Shekhar, Utkarsh Gupta, Pranav Maneriker, Prann Bansal, Ajay Joshi
LEAF-QA: Locate, Encode & Attend for Figure Question Answering. CoRR (2019)
Nikhita Vedula, Pranav Maneriker, Srinivasan Parthasarathy
BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge. WWW (2019)
Balaji Vasan Srinivasan, Pranav Maneriker, Kundan Krishna, Natwar Modani
Corpus-based Content Construction. COLING (2018)
Gaurush Hiranandani, Pranav Maneriker, Harsh Jhamtani
Generating Appealing Brand Names. CoRR (2017)
Atanu R. Sinha, Meghanath Macha, Pranav Maneriker, Sopan Khosla, Avani Samdariya, Navjot Singh
Anti-Ad Blocking Strategy: Measuring its True Impact. ADKDD@KDD (2017)
Gaurush Hiranandani, Kumar Ayush, Varsha Chinnaobireddy, Atanu R. Sinha, Pranav Maneriker, Sai Varun Reddy Maram
Enhanced Personalized Targeting Using Augmented Reality. ISMAR Adjunct (2017)
Gaurush Hiranandani, Pranav Maneriker, Harsh Jhamtani
Generating Appealing Brand Names. CICLing (2) (2017)
Natwar Modani, Pranav Maneriker, Gaurush Hiranandani, Atanu R. Sinha, Utpal, Vaishnavi Subramanian, Shivani Gupta
Summarizing Multimedia Content. WISE (2) (2016)