Neil Mallinar

19 papers A* 5Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Scalable Framework for Evaluating Health Language Models.
CoRR
Neil Mallinar, A. Ali Heydari, Xin Liu, Anthony Z. Faranesh, Brent Winslow, Nova Hammerquist, Benjamin Graef, Cathy Speed, Mark Malhotra, Shwetak N. Patel, Javier L. Prieto, Daniel McDuff, Ahmed A. Metwally
2025 A* conf
Emergence in non-neural models: grokking modular arithmetic via average gradient outer product.
ICML
Neil Mallinar, Daniel Beaglehole, Libin Zhu, Adityanarayanan Radhakrishnan, Parthe Pandit, Mikhail Belkin
2025 J jnl
FACT: the Features At Convergence Theorem for neural networks.
CoRR
Enric Boix-Adserà, Neil Mallinar, James B. Simon, Mikhail Belkin
2024 J jnl
Emergence in non-neural models: grokking modular arithmetic via average gradient outer product.
CoRR
Neil Mallinar, Daniel Beaglehole, Libin Zhu, Adityanarayanan Radhakrishnan, Parthe Pandit, Mikhail Belkin
2024 A* conf
Minimum-Norm Interpolation Under Covariate Shift.
ICML
Neil Mallinar, Austin Zane, Spencer Frei, Bin Yu
2024 J jnl
Minimum-Norm Interpolation Under Covariate Shift.
CoRR
Neil Mallinar, Austin Zane, Spencer Frei, Bin Yu
2022 J jnl
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting.
CoRR
Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Mikhail Belkin, Preetum Nakkiran
2022 A* conf
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting.
NeurIPS
Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Mikhail Belkin, Preetum Nakkiran
2022 J jnl
The Calibration Generalization Gap.
CoRR
A. Michael Carrell, Neil Mallinar, James Lucas, Preetum Nakkiran
2020 A* conf
Iterative Data Programming for Expanding Text Classification Corpora.
AAAI
Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta
2020 J jnl
Iterative Data Programming for Expanding Text Classification Corpora.
CoRR
Neil Mallinar, Abhishek Shah, Tin Kam Ho, Rajendra Ugrani, Ayush Gupta
2020 — conf
Unsupervised Adaptation of Question Answering Systems via Generative Self-training.
EMNLP (1)
Steven J. Rennie, Etienne Marcheret, Neil Mallinar, David Nahamoo, Vaibhava Goel
2019 — conf
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition.
ICLR (Poster)
Chun-Fu (Richard) Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris
2019 A* conf
Bootstrapping Conversational Agents with Weak Supervision.
AAAI
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
2019 J jnl
Multi-Frame Cross-Entropy Training for Convolutional Neural Networks in Speech Recognition.
CoRR
Tom Sercu, Neil Mallinar
2018 J jnl
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition.
CoRR
Chun-Fu Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris
2018 J jnl
Bootstrapping Conversational Agents With Weak Supervision.
CoRR
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
2018 J jnl
Deep Canonically Correlated LSTMs.
CoRR
Neil Mallinar, Corbin Rosset
2017 J jnl
Probabilistic cross-identification of galaxies with realistic clustering.
Astron. Comput.
Neil Mallinar, Tamás Budavári, Gerard Lemson