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Pankaj Gupta

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



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



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



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



Yatin Chaudhary , Hinrich Schütze , Pankaj Gupta

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* Accepted at ICML2020 (13 pages, 2 figures), acknowledgements added 
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Neural Topic Modeling with Continual Lifelong Learning



Pankaj Gupta , Yatin Chaudhary , Thomas Runkler , Hinrich Schütze

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* ICML2020 
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Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019



Usama Yaseen , Pankaj Gupta , Hinrich Schütze

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* EMNLP 2019, 11 pages, 4 figures, 8 tables 
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BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions



Yatin Chaudhary , Pankaj Gupta , Hinrich Schütze

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* EMNLP2019, 10 pages, 2 figures, 7 tables 
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Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers



Yatin Chaudhary , Pankaj Gupta , Thomas Runkler

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* 94 pages 
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Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings



Pankaj Gupta , Yatin Chaudhary , Hinrich Schütze

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