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Neil Mallinar
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2020 – today
- 2024
- [c6]Neil Mallinar, Austin Zane, Spencer Frei, Bin Yu:
Minimum-Norm Interpolation Under Covariate Shift. ICML 2024 - [i9]Neil Mallinar, Austin Zane, Spencer Frei, Bin Yu:
Minimum-Norm Interpolation Under Covariate Shift. CoRR abs/2404.00522 (2024) - [i8]Neil Mallinar, Daniel Beaglehole, Libin Zhu, Adityanarayanan Radhakrishnan, Parthe Pandit, Mikhail Belkin:
Emergence in non-neural models: grokking modular arithmetic via average gradient outer product. CoRR abs/2407.20199 (2024) - 2022
- [c5]Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Misha Belkin, Preetum Nakkiran:
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting. NeurIPS 2022 - [i7]Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Mikhail Belkin, Preetum Nakkiran:
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting. CoRR abs/2207.06569 (2022) - [i6]A. Michael Carrell, Neil Mallinar, James Lucas, Preetum Nakkiran:
The Calibration Generalization Gap. CoRR abs/2210.01964 (2022) - 2020
- [c4]Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta:
Iterative Data Programming for Expanding Text Classification Corpora. AAAI 2020: 13332-13337 - [c3]Steven J. Rennie, Etienne Marcheret, Neil Mallinar, David Nahamoo, Vaibhava Goel:
Unsupervised Adaptation of Question Answering Systems via Generative Self-training. EMNLP (1) 2020: 1148-1157 - [i5]Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta:
Iterative Data Programming for Expanding Text Classification Corpora. CoRR abs/2002.01412 (2020)
2010 – 2019
- 2019
- [c2]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:
Bootstrapping Conversational Agents with Weak Supervision. AAAI 2019: 9528-9533 - [c1]Chun-Fu (Richard) Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris:
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. ICLR (Poster) 2019 - [i4]Tom Sercu, Neil Mallinar:
Multi-Frame Cross-Entropy Training for Convolutional Neural Networks in Speech Recognition. CoRR abs/1907.13121 (2019) - 2018
- [i3]Neil Mallinar, Corbin Rosset:
Deep Canonically Correlated LSTMs. CoRR abs/1801.05407 (2018) - [i2]Chun-Fu Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris:
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. CoRR abs/1807.03848 (2018) - [i1]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:
Bootstrapping Conversational Agents With Weak Supervision. CoRR abs/1812.06176 (2018) - 2017
- [j1]Neil Mallinar, Tamás Budavári
, Gerard Lemson:
Probabilistic cross-identification of galaxies with realistic clustering. Astron. Comput. 20: 83-86 (2017)
Coauthor Index
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