Probabilistic cross-identification of galaxies with realistic clustering. - Neil Mallinar; Tamás Budavári; Gerard Lemson (Astron. Comput., 2017)

Deep Canonically Correlated LSTMs. - Neil Mallinar; Corbin Rosset (CoRR, 2018)

Bootstrapping Conversational Agents with Weak Supervision. - 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 (AAAI, 2019)

Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. - Chun-Fu (Richard) Chen; Quanfu Fan; Neil Mallinar; Tom Sercu; Rogério Schmidt Feris (ICLR (Poster), 2019)

Multi-Frame Cross-Entropy Training for Convolutional Neural Networks in Speech Recognition. - Tom Sercu; Neil Mallinar (CoRR, 2019)

Iterative Data Programming for Expanding Text Classification Corpora. - Neil Mallinar; Abhishek Shah; Tin Kam Ho; Rajendra Ugrani; Ayush Gupta (AAAI, 2020)

Unsupervised Adaptation of Question Answering Systems via Generative Self-training. - Steven J. Rennie; Etienne Marcheret; Neil Mallinar; David Nahamoo; Vaibhava Goel (EMNLP (1), 2020)

Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting. - Neil Mallinar; James B. Simon; Amirhesam Abedsoltan; Parthe Pandit; Mikhail Belkin; Preetum Nakkiran (NeurIPS, 2022)

Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting. - Neil Mallinar; James B. Simon; Amirhesam Abedsoltan; Parthe Pandit; Mikhail Belkin; Preetum Nakkiran (CoRR, 2022)

The Calibration Generalization Gap. - A. Michael Carrell; Neil Mallinar; James Lucas; Preetum Nakkiran (CoRR, 2022)

Minimum-Norm Interpolation Under Covariate Shift. - Neil Mallinar; Austin Zane; Spencer Frei; Bin Yu 001 (ICML, 2024)

Emergence in non-neural models: grokking modular arithmetic via average gradient outer product. - Neil Mallinar; Daniel Beaglehole; Libin Zhu; Adityanarayanan Radhakrishnan; Parthe Pandit; Mikhail Belkin (CoRR, 2024)

A Scalable Framework for Evaluating Health Language Models. - Neil Mallinar; A. Ali Heydari; Xin Liu 034; Anthony Z. Faranesh; Brent Winslow; Nova Hammerquist; Benjamin Graef; Cathy Speed; Mark Malhotra; Shwetak N. Patel; Javier L. Prieto; Daniel McDuff; et al. (CoRR, 2025)

FACT: the Features At Convergence Theorem for neural networks. - Enric Boix-Adserà; Neil Mallinar; James B. Simon; Mikhail Belkin (CoRR, 2025)