Neil Mallinar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Speech Recognition

Avoid Overfitting

Conversational Agent

Top Venues

Astron. Comput.

Publications

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 (2024)
Neil Mallinar, Austin Zane, Spencer Frei, Bin Yu
Minimum-Norm Interpolation Under Covariate Shift. CoRR (2024)
Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Mikhail Belkin, Preetum Nakkiran
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting. CoRR (2022)
A. Michael Carrell, Neil Mallinar, James Lucas, Preetum Nakkiran
The Calibration Generalization Gap. CoRR (2022)
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)
Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta
Iterative Data Programming for Expanding Text Classification Corpora. CoRR (2020)
Steven J. Rennie, Etienne Marcheret, Neil Mallinar, David Nahamoo, Vaibhava Goel
Unsupervised Adaptation of Question Answering Systems via Generative Self-training. EMNLP (1) (2020)
Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta
Iterative Data Programming for Expanding Text Classification Corpora. AAAI (2020)
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)
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)
Tom Sercu, Neil Mallinar
Multi-Frame Cross-Entropy Training for Convolutional Neural Networks in Speech Recognition. CoRR (2019)
Neil Mallinar, Corbin Rosset
Deep Canonically Correlated LSTMs. CoRR (2018)
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 (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
Bootstrapping Conversational Agents With Weak Supervision. CoRR (2018)
Neil Mallinar, Tamás Budavári, Gerard Lemson
Probabilistic cross-identification of galaxies with realistic clustering. Astron. Comput. 20 (2017)