Postnatal exocrine pancreas growth by cellular hypertrophy correlates with a shorter lifespan in mammals S Anzi, M Stolovich-Rain, A Klochendler, O Fridlich, A Helman, ... Developmental cell 45 (6), 726-737. e3, 2018 | 42 | 2018 |
Benchmarking neural network training algorithms GE Dahl, F Schneider, Z Nado, N Agarwal, CS Sastry, P Hennig, ... arXiv preprint arXiv:2306.07179, 2023 | 10 | 2023 |
Hotline Profiler: Automatic Annotation and A Multi-Scale Timeline for Visualizing Time-Use in DNN Training D Snider, F Chevalier, G Pekhimenko Proceedings of Machine Learning and Systems 5, 2023 | 2 | 2023 |
Optimizing Data Collection in Deep Reinforcement Learning J Gleeson, D Snider, Y Yang, M Gabel, E de Lara, G Pekhimenko Third Workshop on Benchmarking Machine Learning Workloads on Emerging …, 2022 | 2 | 2022 |
Operator Fusion in XLA: Analysis and Evaluation D Snider, R Liang Course Paper, University of Toronto, 2021 | 1 | 2021 |
University Rover Challenge: Tutorials and Team Survey D Snider, M Mirvish, M Barcis, VA Tezer Robot Operating System (ROS), 315-370, 2019 | 1 | 2019 |
Benchmarking Neural Network Training Algorithms P Hennig, GE Dahl, F Schneider, Z Nado, N Agarwal, C Shama Sastry, ... arXiv, 2023 | | 2023 |
Masters Thesis: Visualizing Time-Use In DNN Training D Snider University of Toronto, 2022 | | 2022 |
A Study of the Effects of Model Architecture Ablations on Training Dynamics A Young, D Snider, J Yeng Course Paper, University of Toronto, 2022 | | 2022 |