Search Results - "Aggarwal, Milan"

Serotonin and CGRP in migraine by Aggarwal, Milan, Puri, Veena, Puri, Sanjeev

“…Migraine is defined as recurrent attack of headache that are commonly unilateral and accompanied by gastrointestinal and visual disorders. Migraine is more…”
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One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text by Java, Abhinav, Deshmukh, Shripad, Aggarwal, Milan, Jandial, Surgan, Sarkar, Mausoom, Krishnamurthy, Balaji

“…Active consumption of digital documents has yielded scope for research in various applications, including search. Traditionally, searching within a document…”
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Multi-Modal Association based Grouping for Form Structure Extraction by Aggarwal, Milan, Sarkar, Mausoom, Gupta, Hiresh, Krishnamurthy, Balaji

“…Document structure extraction has been a widely researched area for decades. Recent work in this direction has been deep learning-based, mostly focusing on…”
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Effects of estrogen on the serotonergic system and calcitonin gene-related peptide in trigeminal ganglia of rats by Aggarwal, Milan, Puri, Veena, Puri, Sanjeev

“…The prevalence of migraine is 3-folds higher in females than in males, and it is intricately related to the levels of estrogen. Estrogen may regulate the…”
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Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems by Kumar, Shivani, Bhatia, Sumit, Aggarwal, Milan, Chakraborty, Tanmoy

“…Sharing ideas through communication with peers is the primary mode of human interaction. Consequently, extensive research has been conducted in the area of…”
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CABINET: Content Relevance based Noise Reduction for Table Question Answering by Patnaik, Sohan, Changwal, Heril, Aggarwal, Milan, Bhatia, Sumit, Kumar, Yaman, Krishnamurthy, Balaji

“…Table understanding capability of Large Language Models (LLMs) has been extensively studied through the task of question-answering (QA) over tables. Typically,…”
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Multi-Modal Association based Grouping for Form Structure Extraction by Aggarwal, Milan, Sarkar, Mausoom, Gupta, Hiresh, Krishnamurthy, Balaji

“…Document structure extraction has been a widely researched area for decades. Recent work in this direction has been deep learning-based, mostly focusing on…”
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Form2Seq : A Framework for Higher-Order Form Structure Extraction by Aggarwal, Milan, Gupta, Hiresh, Sarkar, Mausoom, Krishnamurthy, Balaji

“…Document structure extraction has been a widely researched area for decades with recent works performing it as a semantic segmentation task over document…”
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One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text by Java, Abhinav, Deshmukh, Shripad, Aggarwal, Milan, Jandial, Surgan, Sarkar, Mausoom, Krishnamurthy, Balaji

“…Active consumption of digital documents has yielded scope for research in various applications, including search. Traditionally, searching within a document…”
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TAN-NTM: Topic Attention Networks for Neural Topic Modeling by Panwar, Madhur, Shailabh, Shashank, Aggarwal, Milan, Krishnamurthy, Balaji

“…Topic models have been widely used to learn text representations and gain insight into document corpora. To perform topic discovery, most existing neural…”
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LM-CORE: Language Models with Contextually Relevant External Knowledge by Kaur, Jivat Neet, Bhatia, Sumit, Aggarwal, Milan, Bansal, Rachit, Krishnamurthy, Balaji

“…Large transformer-based pre-trained language models have achieved impressive performance on a variety of knowledge-intensive tasks and can capture factual…”
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INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models by Renduchintala, H S V N S Kowndinya, Killamsetty, Krishnateja, Bhatia, Sumit, Aggarwal, Milan, Ramakrishnan, Ganesh, Iyer, Rishabh, Krishnamurthy, Balaji

“…A salient characteristic of pre-trained language models (PTLMs) is a remarkable improvement in their generalization capability and emergence of new…”
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INDIGO: Intrinsic Multimodality for Domain Generalization by Mangla, Puneet, Chandhok, Shivam, Aggarwal, Milan, Balasubramanian, Vineeth N, Krishnamurthy, Balaji

“…For models to generalize under unseen domains (a.k.a domain generalization), it is crucial to learn feature representations that are domain-agnostic and…”
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CoSe-Co: Text Conditioned Generative CommonSense Contextualizer by Bansal, Rachit, Aggarwal, Milan, Bhatia, Sumit, Kaur, Jivat Neet, Krishnamurthy, Balaji

“…Pre-trained Language Models (PTLMs) have been shown to perform well on natural language tasks. Many prior works have leveraged structured commonsense present…”
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Document Structure Extraction using Prior based High Resolution Hierarchical Semantic Segmentation by Sarkar, Mausoom, Aggarwal, Milan, Jain, Arneh, Gupta, Hiresh, Krishnamurthy, Balaji

“…Structure extraction from document images has been a long-standing research topic due to its high impact on a wide range of practical applications. In this…”
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Persuasion Strategies in Advertisements by Singla, Yaman Kumar, Jha, Rajat, Gupta, Arunim, Aggarwal, Milan, Garg, Aditya, Malyan, Tushar, Bhardwaj, Ayush, Shah, Rajiv Ratn, Krishnamurthy, Balaji, Chen, Changyou

“…Modeling what makes an advertisement persuasive, i.e., eliciting the desired response from consumer, is critical to the study of propaganda, social psychology,…”
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ReDecode Framework for Iterative Improvement in Paraphrase Generation by Aggarwal, Milan, Kumari, Nupur, Bansal, Ayush, Krishnamurthy, Balaji

“…Generating paraphrases, that is, different variations of a sentence conveying the same meaning, is an important yet challenging task in NLP. Automatically…”
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SHERLock: Self-Supervised Hierarchical Event Representation Learning by Roychowdhury, Sumegh, Sontakke, Sumedh A, Puri, Nikaash, Sarkar, Mausoom, Aggarwal, Milan, Badjatiya, Pinkesh, Krishnamurthy, Balaji, Itti, Laurent

“…Temporal event representations are an essential aspect of learning among humans. They allow for succinct encoding of the experiences we have through a variety…”
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Improving Search through A3C Reinforcement Learning based Conversational Agent by Aggarwal, Milan, Arora, Aarushi, Sodhani, Shagun, Krishnamurthy, Balaji

“…We develop a reinforcement learning based search assistant which can assist users through a set of actions and sequence of interactions to enable them realize…”
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