Max Vladymyrov
Research Areas
Authored Publications
Sort By
Google
Transformers learn in-context by gradient descent
João Sacramento
International Conference on Machine Learning (2023), pp. 35151-35174
GradMax: Growing Neural Networks using Gradient Information
Bart van Merriënboer
Thomas Unterthiner
The International Conference on Learning Representations (2022)
Meta-Learning Bidirectional Update Rules
Andrew Jackson
Tom Madams
ICML 2021
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Dan Moldovan
Ben Adlam
Babak Alipanahi
Alex Beutel
Christina Chen
Jon Deaton
Matthew D. Hoffman
Shaobo Hou
Neil Houlsby
Ghassen Jerfel
Yian Ma
Diana Mincu
Akinori Mitani
Andrea Montanari
Christopher Nielsen
Thomas Osborne
Rajiv Raman
Kim Ramasamy
Jessica Schrouff
Martin Gamunu Seneviratne
Shannon Sequeira
Harini Suresh
Victor Veitch
Steve Yadlowsky
Xiaohua Zhai
D. Sculley
Journal of Machine Learning Research (2020)
No Pressure! Addressing Problem of Local Minima in Manifold Learning
33th Annual Conference on Neural Information Processing Systems (2019)
