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Semi-Supervised Data Programming with Subset Selection,

The paradigm of data programming, which uses weak supervision in the form of rules/labelling functions, and semi-supervised learning, which augments small amounts of labelled data with a large unlabelled dataset, have shown great promise in several text classification scenarios.

Ayush Maheshwari, Oishik Chatterjee, Krishnateja Killamsetty, Ganesh Ramakrishnan, Rishabh Iyer

Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification

We consider the problem of multi-label classification, where the labels lie in a hierarchy. However, unlike most existing works in hierarchical multi-label classification, we do not assume that the label-hierarchy is known.

Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, Saketha Nath Jagaralpudi

Unsupervised Learning of Explainable Parse Trees for Improved Generalisation

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Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya

Tale of tails using rule augmented sequence labeling for event extraction

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Ayush Maheshwari, Hrishikesh Patel, Nandan Rathod, Ritesh Kumar, Ganesh Ramakrishnan, Pushpak Bhattacharyya

OCR On-the-Go: Robust End-to-end Systems for Reading License Plates and Street Signs

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Rohit Saluja, Ayush Maheshwari, Ganesh Ramakrishnan, Parag Chaudhuri, Mark Carman

DynGAN: Generative Adversarial Networks for Dynamic Network Embedding

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Ayush Maheshwari, Ayush Goyal, Manjesh Kumar Hanawal, Ganesh Ramakrishnan

Representation Learning on Graphs by Integrating Content and Structure Information

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Ayush Maheshwari, Ayush Goyal, Manjesh Kumar Hanawal, Ganesh Ramakrishnan

Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data

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Ayush Maheshwari, Vishwajeet Kumar, Ganesh Ramakrishnan, J. Saketha Nath

Peak Electricity Demand and Global Warming in the Industrial and Residential areas of Pune : An Extreme Value Approach

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Ayush Maheshwari, Kamal Kumar Murari, T. Jayaraman