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Neil Mallinar

The Calibration Generalization Gap

Oct 06, 2022
A. Michael Carrell, Neil Mallinar, James Lucas, Preetum Nakkiran

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* Appeared at ICML 2022 Workshop on Distribution-Free Uncertainty Quantification

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Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting

Jul 14, 2022
Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Mikhail Belkin, Preetum Nakkiran

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* NM and JB co-first authors

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Iterative Data Programming for Expanding Text Classification Corpora

Feb 04, 2020
Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta

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* 6 pages, 2 figures, In Proceedings of the AAAI Conference on Artificial Intelligence 2020 (IAAI Technical Track: Emerging Papers)

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Multi-Frame Cross-Entropy Training for Convolutional Neural Networks in Speech Recognition

Jul 29, 2019
Tom Sercu, Neil Mallinar

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Bootstrapping Conversational Agents With Weak Supervision

Dec 14, 2018
Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor

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* 6 pages, 3 figures, 1 table, Accepted for publication in IAAI 2019

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Deep Canonically Correlated LSTMs

Jan 16, 2018
Neil Mallinar, Corbin Rosset

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* 8 pages, 3 figures, accepted as the undergraduate honors thesis for Neil Mallinar by The Johns Hopkins University

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