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Pranav Maneriker
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2020 – today
- 2024
- [i11]Pranav Maneriker, Aditya Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, Srinivasan Parthasarathy:
Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights. CoRR abs/2409.18332 (2024) - [i10]Yuntian He, Pranav Maneriker, Anutam Srinivasan, Aditya Vadlamani, Srinivasan Parthasarathy:
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks. CoRR abs/2410.21618 (2024) - 2023
- [c14]Pranav Maneriker
, Codi Burley
Online Fairness Auditing through Iterative Refinement. KDD 2023: 1665-1676 - 2022
- [j1]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) - 2021
- [c13]Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy:
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis. EMNLP (1) 2021: 6844-6857 - [c12]Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy:
Open Intent Extraction from Natural Language Interactions (Extended Abstract). IJCAI 2021: 4844-4848 - [c11]Pranav Maneriker, Jack W. Stokes, Edir Garcia Lazo, Diana Carutasu, Farid Tajaddodianfar, Arun Gururajan:
URLTran: Improving Phishing URL Detection Using Transformers. MILCOM 2021: 197-204 - [i9]Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy:
StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets. CoRR abs/2104.00764 (2021) - [i8]Pranav Maneriker, Jack W. Stokes, Edir Garcia Lazo, Diana Carutasu, Farid Tajaddodianfar, Arun Gururajan:
URLTran: Improving Phishing URL Detection Using Transformers. CoRR abs/2106.05256 (2021) - 2020
- [c10]Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt, Pranav Maneriker
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing. CVPR Workshops 2020: 1563-1566 - [c9]Ritwick Chaudhry, Sumit Shekhar, Utkarsh Gupta, Pranav Maneriker, Prann Bansal, Ajay Joshi:
LEAF-QA: Locate, Encode & Attend for Figure Question Answering. WACV 2020: 3501-3510 - [c8]Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
Open Intent Extraction from Natural Language Interactions. WWW 2020: 2009-2020 - [i7]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 abs/2004.03755 (2020) - [i6]Bortik Bandyopadhyay, Pranav Maneriker, Vedang Patel, Saumya Yashmohini Sahai, Ping Zhang, Srinivasan Parthasarathy:
DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings. CoRR abs/2007.02384 (2020)
2010 – 2019
- 2019
- [c7]Pranav Maneriker, Nikhita Vedula, Hussein S. Al-Olimat
A Pipeline for Disaster Response and Relief Coordination. SIGIR 2019: 1337-1340 - [c6]Nikhita Vedula, Pranav Maneriker, Srinivasan Parthasarathy
BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge. WWW 2019: 1897-1908 - [i5]Ritwik Sinha, Dhruv Singal, Pranav Maneriker, Kushal Chawla, Yash Shrivastava, Deepak Pai, Atanu R. Sinha:
Forecasting Granular Audience Size for Online Advertising. CoRR abs/1901.02412 (2019) - [i4]Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy:
Towards Open Intent Discovery for Conversational Text. CoRR abs/1904.08524 (2019) - [i3]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 abs/1905.00987 (2019) - [i2]Ritwick Chaudhry, Sumit Shekhar, Utkarsh Gupta, Pranav Maneriker, Prann Bansal, Ajay Joshi:
LEAF-QA: Locate, Encode & Attend for Figure Question Answering. CoRR abs/1907.12861 (2019) - 2018
- [c5]Balaji Vasan Srinivasan, Pranav Maneriker, Kundan Krishna, Natwar Modani:
Corpus-based Content Construction. COLING 2018: 3505-3515 - 2017
- [c4]Gaurush Hiranandani, Pranav Maneriker
Generating Appealing Brand Names. CICLing (2) 2017: 605-616 - [c3]Gaurush Hiranandani, Kumar Ayush
Enhanced Personalized Targeting Using Augmented Reality. ISMAR Adjunct 2017: 69-74 - [c2]Atanu R. Sinha, Meghanath Macha, Pranav Maneriker, Sopan Khosla, Avani Samdariya, Navjot Singh:
Anti-Ad Blocking Strategy: Measuring its True Impact. ADKDD@KDD 2017: 3:1-3:6 - [i1]Gaurush Hiranandani, Pranav Maneriker, Harsh Jhamtani:
Generating Appealing Brand Names. CoRR abs/1706.09335 (2017) - 2016
- [c1]Natwar Modani, Pranav Maneriker
Summarizing Multimedia Content. WISE (2) 2016: 340-348
Coauthor Index
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