Amit Daniely, Nati Srebro, Gal Vardi. Most Neural Networks Are Almost Learnable. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]
@inproceedings{DanielySV23,
title = {Most Neural Networks Are Almost Learnable},
author = {Amit Daniely and Nati Srebro and Gal Vardi},
year = {2023},
url = {http://papers.nips.cc/paper_files/paper/2023/hash/4f7b1f51ef415f09e171f632172284ff-Abstract-Conference.html},
researchr = {https://researchr.org/publication/DanielySV23},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}