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Articles by
Zachary Nado
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
16 December 2024 by
Gemini Team
and
others
at
Google
Computation and Language
,
Artificial Intelligence
A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
24 October 2024 by
Ankit Singh Rawat
and
others
at
Google
Machine Learning
,
Computation and Language
Gemini: A Family of Highly Capable Multimodal Models
1
20 May 2024 by
Gemini Team
and
others
at
Google
Computation and Language
,
Artificial Intelligence
Adaptive Gradient Methods at the Edge of Stability
15 April 2024 by
Jeremy Cohen
and
others
Machine Learning
PaLM 2 Technical Report
13 September 2023 by
Rohan Anil
and
others
Computation and Language
,
Artificial Intelligence
Benchmarking Neural Network Training Algorithms
12 June 2023 by
George Dahl
and
others
Machine Learning
Kernel Regression with Infinite-Width Neural Networks on Millions of Examples
9 March 2023 by
Ben Adlam
and
others
Machine Learning
,
Computer Vision and Pattern Recognition
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks
23 November 2022 by
Neil Band
and
others
Machine Learning
,
Artificial Intelligence
Plex: Towards Reliability using Pretrained Large Model Extensions
15 July 2022 by
Dustin Tran
and
others
Machine Learning
Pre-training helps Bayesian optimization too
7 July 2022 by
Zi Wang
and
others
Machine Learning
,
Artificial Intelligence
Bad priors, their threats to Bayesian optimization and some remedies via prior learning
19 February 2022 by
Zi Wang
and
others
Machine Learning
Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach
16 December 2021 by
Setareh Ariafar
and
others
Machine Learning
A Loss Curvature Perspective on Training Instability in Deep Learning
8 October 2021 by
Justin Gilmer
and
others
Machine Learning
,
Artificial Intelligence
A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes
16 February 2021 by
Zachary Nado
and
others
Machine Learning
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
14 January 2021 by
Zachary Nado
and
others
Machine Learning
Underspecification Presents Challenges for Credibility in Modern Machine Learning
24 November 2020 by
Alexander D'Amour
and
others
Machine Learning
Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks
10 July 2020 by
Shreyas Padhy
and
others
Machine Learning
On Empirical Comparisons of Optimizers for Deep Learning
4 January 2020 by
Dami Choi
and
others
Machine Learning
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
17 December 2019 by
Yaniv Ovadia
and
others
Machine Learning
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
28 October 2019 by
Guodong Zhang
and
others
Machine Learning
AutoGraph: Imperative-style Coding with Graph-based Performance
26 March 2019 by
Dan Moldovan
and
others
Programming Languages
,
Machine Learning