Pankaj Gupta

Adversarial Adaptation for French Named Entity Recognition

Jan 12, 2023
Arjun Choudhry, Inder Khatri, Pankaj Gupta, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma

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* Preprint version of short paper accepted for the ECIR 2023 conference

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Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora

Dec 05, 2022
Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma

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* Author version of Student Abstract to appear in AAAI 2023 - Student Abstract and Poster Program

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An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning

Nov 26, 2022
Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma, Mukesh Prasad

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* Accepted in the Student Abstract & Poster Presentation track at AAAI 2023. arXiv admin note: substantial text overlap with arXiv:2211.13718

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RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection

Nov 09, 2022
Soumen Basu, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, Chetan Arora

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* To Appear in Elsevier Medical Image Analysis

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Federated Continual Learning for Text Classification via Selective Inter-client Transfer

Oct 12, 2022
Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schütze, Pankaj Gupta

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* EMNLP2022 (Findings): 11 pages, 5 figures, 4 tables

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Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining

Jul 26, 2022
Soumen Basu, Somanshu Singla, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, Chetan Arora

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* ACCEPTED for publication at MICCAI 2022

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Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning

Apr 25, 2022
Soumen Basu, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, Chetan Arora

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* Accepted in IEEE/CVF Computer Vision and Pattern Recognition (CVPR) 2022

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Multi-source Neural Topic Modeling in Multi-view Embedding Spaces

Apr 17, 2021
Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze

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* NAACL2021, 13 pages, 14 tables, 2 figures. arXiv admin note: substantial text overlap with arXiv:1909.06563

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TopicBERT for Energy Efficient Document Classification

Oct 15, 2020
Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas Runkler, Hinrich Schütze

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* EMNLP2020 (Findings): 9 pages, 5 figures, 8 Tables

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Explainable and Discourse Topic-aware Neural Language Understanding

Jun 19, 2020
Yatin Chaudhary, Hinrich Schütze, Pankaj Gupta

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* Accepted at ICML2020 (13 pages, 2 figures), acknowledgements added

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