Starting this year, we plan to host two separate events for PyTorch: one for developers and users to discuss core technical development, ideas and roadmaps called “Developer Day”, and another for the PyTorch ecosystem and industry communities to showcase their work and discover opportunities to collaborate called “Ecosystem Day” (scheduled for early 2021).
The PyTorch Developer Day (#PTD2) is kicking off on November 12, 2020, 8AM PST with a full day of technical talks on a variety of topics, including updates to the core framework, new tools and libraries to support development across a variety of domains. You’ll also see talks covering the latest research around systems and tooling in ML. To watch the event, please visit this link.
We’ve created a handy schedule below to see all the speakers and their respective subjects on the day of the event. *Please note, all times are subject to change.
Opening & Keynotes
8:00–8:05 AM | Welcome — Joe Spisak, Product Manager, Facebook AI
Keynotes
8:05–8:20 AM | Open Challenges in Deep Learning Systems — Kim Hazelwood, West Coast Head of Engineering, Facebook AI
8:20–8:30 AM | State of PyTorch 2020 — Edward Yang, Research Engineer, Facebook AI
8:30–8:45 AM | Vision of PyTorch: Focus of the next 3 years — Lin Qiao, Director of Engineering, Facebook AI
PyTorch Core Deep Dives
8:45–8:53 AM | Complex Numbers in PyTorch — Anjali Chourdia, Software Engineer
8:53–9:01 AM | Making PyTorch More “NumPy Compatible” — Mike Ruberry, Software Engineer
9:01–9:10 AM | High-Level API for Autograd — Alban Desmaison, Research Engineer
9:10–9:20 AM | PyTorch Distributed RPC — Shen Li, Research Scientist
9:20–9:30 AM | PyTorch Distributed Data Parallel (DDP) — Pritam Damania, Software Engineer
9:30–9:36 AM | TorchAudio — Vincent Quenneville-Belair, Machine Learning Scientist
9:36–9:43 AM | TorchText — George Zhang, Software Engineer
9:43–9:50 AM | TorchVision — Francisco Massa, Research Engineer
9:50–9:55 AM | Latest Profiler APIs and Best Practices — Ilia Cherniasvskii, Software Engineer
9:55–10:00 AM | Visualization with TensorBoard — Siqi Yan, Software Engineer
10:00–10:10 AM | PyTorch Performance — Natalia Gimelshein, Applied Research Scientist
10:10–10:20 AM | PyTorch on Windows — Maxim Lukiyanov — Principal Product Manager, Microsoft Azure
10:20–10:30 AM | PyTorch Mobile, David Reiss, Software Engineer
10:30–10:40 AM | PyTorch Mobile and Android Neural Networks API — Oli Gaymond, Product Manager, Android Machine Learning
Break | 10:40–10:45 AM
PyTorch Research Talks
10:45–11:00 AM |Torch for R & Hasktorch: Bringing Torch to New Programming Languages — Austin Huang, Vice President, AI & Machine Learning at Fidelity and Daniel Falbel, Software Engineer, RStudio
11:00–11:10 AM | Graph Convolutional Operators in the PyTorch JIT — Lindsey Gray, Scientist, FermiLab and Matthias Fey, Ph.D. Student at TU Dortmund
11:10–11:20 AM| Model Interpretability — Narine Kokhlikyan, Researcher Scientist, Facebook AI
11:20–11:30 AM | Hyperparameter Importance — Crissman Loomis, Engineer/Business Dev, Preferred Networks
11:30 AM — 11:40 AM| DeepSpeed, Yuxiong He, Partner Research Manager at Microsoft
11:40–11:50 AM | MLPerf & PyTorch at NVIDIA — Christian Sarofeen, Manager of PyTorch, NVIDIA
11:50–12:00 PM | Inspirations from Going Abroad — Thomas Viehmann, PyTorch Guru, MathInf GmbH
Production Ecosystem
12:00–12:10 PM | Reproducible AI using PyTorch and MLFlow — Geeta Ghauhan, PyTorch Partner Engineering, Facebook AI
12:10–12:20 PM | PyTorch/XLA Internal — Jack Cao, Software Engineer, Google
12:20–12:30 PM | TorchServe: Model Server for PyTorch — Lokesh Gupta, Software Dev Manager, AWS
Private AI
12:30–12:40 PM | Differential Privacy on PyTorch — Davide Testuggine, Applied Scientist, Facebook AI
12:40–12:50 PM | The future of AI Tools — Andrew Trask, Leader of OpenMined and Ph.D. Student at Oxford University
12:50–1:00 PM| Private AI Education Series Announcement — Andrew Trask, Leader of OpenMined and Joe Spisak, PyTorch Product Manager, Facebook AI
1:00–1:05 PM | Closing — Joe Spisak, PyTorch Product Manager, Facebook AI
All talks will be livestreamed and available to the public and can be accessed on the Livestream event page.
You can also visit the event website to learn more. We look forward to welcoming you to PyTorch Developer Day on November 12th!
Thank you,
The PyTorch team
