Publications

Ayush Maheshwari, Ashim Gupta, Amrith Krishna, Atul Kumar Singh, Ganesh Ramakrishnan, G. Anil Kumar, Jitin Singla (2024). Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation. In LREC-COLING 2024.

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Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh Ramakrishnan (2024). FAIR: Filtering of Automatically Induced Rules. In EACL 2024.

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Abhishek Singh, Venkatapathy Subramanian, Ayush Maheshwari, Pradeep Narayan, Devi Prasad Shetty, Ganesh Ramakrishnan (2023). EIGEN: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images. In Proceedings of ML4Health Conference, 2023 (co-located with Neurips).

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Ayush Maheshwari, Ajay Ravindran, Venkatapathy Subramanian, Ganesh Ramakrishnan (2023). UDAAN - Machine Learning based Post-Editing tool for Document Translation. Best Paper Award In CODS-COMAD 2023.

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Sai Abhishek, Harshad Ingole, Parth Laturia, Vineeth Dorna, Ayush Maheshwari, Rishabh Iyer, Ganesh Ramakrishnan (2022). SPEAR: Semi-supervised Data Programming in Python. In Demonstrations, EMNLP 2022.

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Durga S, Ayush Maheshwari, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan (2022). Reweighing auxiliary losses in supervised learning. In AAAI 2023.

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Ayush Maheshwari, Nikhil Singh, Amrith Krishna, Ganesh Ramakrishnan (2022). A Benchmark and Dataset for Post-OCR text correction in Sanskrit. In Findings of EMNLP 2022.

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Ayush Maheshwari, Krishnateja Killamsetty, Ganesh Ramakrishnan, Rishabh Iyer, Marina Danilevsky, Lucian Popa (2022). Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. In Findings of ACL 2022.

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Ayush Maheshwari, Oishik Chatterjee, Krishnateja Killamsetty, Ganesh Ramakrishnan, Rishabh Iyer (2021). Semi-Supervised Data Programming with Subset Selection,. In Findings of ACL 2021.

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Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh Iyer (2021). Rule Augmented Unsupervised Constituency Parsing. Short Paper In Findings of ACL 2021.

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Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya (2021). Unsupervised Learning of Explainable Parse Trees for Improved Generalisation. In IJCNN 2021.

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Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, Saketha Nath Jagaralpudi (2021). Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification. In EACL 2021.

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Ayush Maheshwari, Hrishikesh Patel, Nandan Rathod, Ritesh Kumar, Ganesh Ramakrishnan, Pushpak Bhattacharyya (2020). Tale of tails using rule augmented sequence labeling for event extraction. In StarAI Workshop at AAAI 2020.

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Rohit Saluja, Ayush Maheshwari, Ganesh Ramakrishnan, Parag Chaudhuri, Mark Carman (2019). OCR On-the-Go: Robust End-to-end Systems for Reading License Plates and Street Signs. In ICDAR 2019.

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Ayush Maheshwari, Ayush Goyal, Manjesh Kumar Hanawal, Ganesh Ramakrishnan (2019). DynGAN: Generative Adversarial Networks for Dynamic Network Embedding. In Graph Representation Learning Workshop, NeurIPS, 2019.

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Ayush Maheshwari, Ayush Goyal, Manjesh Kumar Hanawal, Ganesh Ramakrishnan (2019). Representation Learning on Graphs by Integrating Content and Structure Information. In COMSNETS 2019.

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Ayush Maheshwari, Vishwajeet Kumar, Ganesh Ramakrishnan, J. Saketha Nath (2018). Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data. In NAACL Demonstrations, 2018.

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Ayush Maheshwari, Kamal Kumar Murari, T. Jayaraman (2018). Peak Electricity Demand and Global Warming in the Industrial and Residential areas of Pune : An Extreme Value Approach. In Preprint.

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