Ayush Maheshwari

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Subset Selection

Document Images

Event Extraction

Top Venues

ACL/IJCNLP (Findings)

Publications

Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh Ramakrishnan
FAIR: Filtering of Automatically Induced Rules. CoRR (2024)
Ayush Maheshwari, Ashim Gupta, Amrith Krishna, Atul Kumar Singh, Ganesh Ramakrishnan, Anil Kumar Gourishetty, Jitin Singla
Samayik: A Benchmark and Dataset for English-Sanskrit Translation. LREC/COLING (2024)
Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh Ramakrishnan
FAIR: Filtering of Automatically Induced Rules. EACL (1) (2024)
Aniruddha Roy, Pretam Ray, Ayush Maheshwari, Sudeshna Sarkar, Pawan Goyal
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study. CoRR (2024)
Karthika NJ, Ayush Maheshwari, Atul Kumar Singh, Preethi Jyothi, Ganesh Ramakrishnan, Krishnakant Bhatt
LexGen: Domain-aware Multilingual Lexicon Generation. CoRR (2024)
Abhishek Singh, Venkatapathy Subramanian, Ayush Maheshwari, Pradeep Narayan, Devi Prasad Shetty, Ganesh Ramakrishnan
EIGEN: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images. CoRR (2023)
Ayush Maheshwari, Ajay Ravindran, Venkatapathy Subramanian, Ganesh Ramakrishnan
UDAAN - Machine Learning based Post-Editing tool for Document Translation. COMAD/CODS (2023)
Ayush Maheshwari, Ashim Gupta, Amrith Krishna, Ganesh Ramakrishnan, G. Anil Kumar, Jitin Singla
Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation. CoRR (2023)
Abhishek Singh, Venkatapathy Subramanian, Ayush Maheshwari, Pradeep Narayan, Devi Prasad Shetty, Ganesh Ramakrishnan
Eigen: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images. ML4H@NeurIPS (2023)
Ganesh Ramakrishnan, Ayush Maheshwari
Data Efficient Machine Learning for Educational Content Creation. EDM (2023)
Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan
Adaptive Mixing of Auxiliary Losses in Supervised Learning. AAAI (2023)
Guttu Sai Abhishek, Harshad Ingole, Parth Laturia, Vineeth Dorna, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer
SPEAR : Semi-supervised Data Programming in Python. EMNLP (Demos) (2022)
Ayush Maheshwari, Nikhil Singh, Amrith Krishna, Ganesh Ramakrishnan
A Benchmark and Dataset for Post-OCR text correction in Sanskrit. CoRR (2022)
Samrat Dutta, Shreyansh Jain, Ayush Maheshwari, Ganesh Ramakrishnan, Preethi Jyothi
Error Correction in ASR using Sequence-to-Sequence Models. CoRR (2022)
Ayush Maheshwari, Piyush Sharma, Preethi Jyothi, Ganesh Ramakrishnan
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT. CoRR (2022)
Ayush Maheshwari, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer, Marina Danilevsky, Lucian Popa
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. ACL (Findings) (2022)
Ayush Maheshwari, Nikhil Singh, Amrith Krishna, Ganesh Ramakrishnan
A Benchmark and Dataset for Post-OCR text correction in Sanskrit. EMNLP (Findings) (2022)
Ayush Maheshwari, Ajay Ravindran, Venkatapathy Subramanian, Akshay Jalan, Ganesh Ramakrishnan
UDAAN - Machine Learning based Post-Editing tool for Document Translation. CoRR (2022)
Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation. CoRR (2021)
Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer
Rule Augmented Unsupervised Constituency Parsing. ACL/IJCNLP (Findings) (2021)
Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer
Rule Augmented Unsupervised Constituency Parsing. CoRR (2021)
Ayush Maheshwari, Oishik Chatterjee, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer
Semi-Supervised Data Programming with Subset Selection. ACL/IJCNLP (Findings) (2021)
Guttu Sai Abhishek, Harshad Ingole, Parth Laturia, Vineeth Dorna, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer
SPEAR : Semi-supervised Data Programming in Python. CoRR (2021)
Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, Saketha Nath Jagaralpudi
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification. EACL (2021)
Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation. IJCNN (2021)
Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, Saketha Nath Jagaralpudi
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification. CoRR (2021)
Ayush Maheshwari, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer, Marina Danilevsky, Lucian Popa
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. CoRR (2021)
Ayush Maheshwari, Oishik Chatterjee, KrishnaTeja Killamsetty, Rishabh K. Iyer, Ganesh Ramakrishnan
Data Programming using Semi-Supervision and Subset Selection. CoRR (2020)
Ayush Maheshwari, Ayush Goyal, Amit Kumar, Manjesh Kumar Hanawal, Ganesh Ramakrishnan
Representation Learning on Graphs by Integrating Content and Structure Information. COMSNETS (2019)
Hrishikesh Patel, Nandan Rathod, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Pushpak Bhattacharyya
Tale of tails using rule augmented sequence labeling for event extraction. CoRR (2019)
Rohit Saluja, Ayush Maheshwari, Ganesh Ramakrishnan, Parag Chaudhuri, Mark J. Carman
OCR On-the-Go: Robust End-to-End Systems for Reading License Plates & Street Signs. ICDAR (2019)
Ayush Maheshwari, Vishwajeet Kumar, Ganesh Ramakrishnan, J. Saketha Nath
Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data. NAACL-HLT (Demonstrations) (2018)