Neil Mallinar

According to our database, Neil Mallinar authored at least 15 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Breaking Data Symmetry is Needed For Generalization in Feature Learning Kernels.

Marcel Tomàs Bernal, Neil Mallinar, Mikhail Belkin

CoRR, April, 2026

2025

FACT: the Features At Convergence Theorem for neural networks.

Enric Boix-Adserà, Neil Mallinar, James B. Simon, Mikhail Belkin

CoRR, July, 2025

A Scalable Framework for Evaluating Health Language Models.

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

CoRR, March, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Minimum-Norm Interpolation Under Covariate Shift.

Neil Mallinar, Austin Zane, Spencer Frei, Bin Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

The Calibration Generalization Gap.

A. Michael Carrell, Neil Mallinar, James Lucas, Preetum Nakkiran

CoRR, 2022

Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting.

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

CoRR, 2022

Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Unsupervised Adaptation of Question Answering Systems via Generative Self-training.

Steven J. Rennie, Etienne Marcheret, Neil Mallinar, David Nahamoo, Vaibhava Goel

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Iterative Data Programming for Expanding Text Classification Corpora.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

Tom Sercu, Neil Mallinar

CoRR, 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

Proceedings of the 7th International Conference on Learning Representations, 2019

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep Canonically Correlated LSTMs.

Neil Mallinar, Corbin Rosset

CoRR, 2018

2017

Probabilistic cross-identification of galaxies with realistic clustering.

Neil Mallinar, Tamás Budavári, Gerard Lemson

Astron. Comput., 2017