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Identifying Spurious Correlations and Correcting them with an Explanation-based Learning


Dec 05, 2022
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee

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* Presented at the NeurIPS 2022 workshop on Human-in-the-Loop Learning (HILL) 

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PUnifiedNER: a Prompting-based Unified NER System for Diverse Datasets


Nov 27, 2022
Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan

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* Accepted to AAAI 2023 

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What Makes Pre-trained Language Models Better Zero/Few-shot Learners?


Sep 30, 2022
Jinghui Lu, Rui Zhao, Brian Mac Namee, Dongsheng Zhu, Weidong Han, Fei Tan

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Impact of Feedback Type on Explanatory Interactive Learning


Sep 26, 2022
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee

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* 11 pages, 8 figures, accepted at the International Symposium on Methodologies for Intelligent Systems, ISMIS 2022 

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Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation


Apr 20, 2022
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling H. O'Connor, Noel E. O'Connor, Kevin McGuinness

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* 3 pages. Accepted at the 29th EGF General Meeting 2022 

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Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation


Apr 18, 2022
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Jaime Fernandez, Brian Mac Namee, Deirdre Hennessey, Noel E. O'Connor, Kevin McGuinness

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* 11 pages, 5 figures. Accepted at the Agriculture-Vision CVPR 2022 Workshop 

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A Rationale-Centric Framework for Human-in-the-loop Machine Learning


Mar 24, 2022
Jinghui Lu, Linyi Yang, Brian Mac Namee, Yue Zhang

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* Accepted to ACL 2022 

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Semi-supervised dry herbage mass estimation using automatic data and synthetic images


Oct 26, 2021
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel O'Connor, Kevin McGuinness

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* Published at CVPPA 2021, ICCVW 2021 

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Random Walk-steered Majority Undersampling


Sep 25, 2021
Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee

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