Q&A for ImageNet: Past, Present, and Future. NeurIPS 2021 Workshop.

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Instructions

We collect questions for the ImageNet workshop until the workshop starts on **13 December 2021**.
Schedule: https://docs.google.com/spreadsheets/d/1HRWKpSNrMEB5TV4B5yaCGPwvpAhSK60UI8_dtbCnf4E/edit?usp=sharing

- Questions addressed to **invited speakers** will be answered during their **panel sessions**.
- Questions posted to a **panel session** will be answered in that **panel session**.
- Questions addressed to a **spotlight speaker** will be answered during the **spotlight session**.

Please aim to post one question per form. Please submit the form again for additional questions.

Which session(s) do you want to post your question to?

Olga Russakovsky & Kaiyu Yang, "Fairness and privacy aspects of ImageNet"

Vittorio Ferrari, "OpenImages: one dataset for many computer vision tasks"

Matthias Bethge, "Object recognition in machines and brains"

Panel session: Olga Russakovsky, Kaiyu Yang, Vittorio Ferrari, and Matthias Bethge

Spotlight: "ResNet strikes back: An improved training procedure in timm"

Rebecca Roelofs, "Is ImageNet Solved?: Evaluating Machine Accuracy"

Shibani Santurkar, "From ImageNet to Image Classification"

Alex Kolesnikov, "Are we done with ImageNet?"

Panel session: Rebecca Roelofs, Shibani Santurkar, and Alex Kolesnikov

Sharon Yixuan Li, "Uncovering the Deep Unknowns of ImageNet Model: Challenges and Opportunties"

Ross Wightman, "ImageNet models from the trenches"

Dawn Song & Dan Hendrycks, "Using ImageNet to Measure Robustness and Uncertainty"

Panel session: Ross Wightman, Dawn Song, and Dan Hendrycks

Emily Denton & Alex Hanna, "ImageNets of "x": ImageNet's Infrastructural Impact"

Panel session: Emily Denton and Alex Hanna

Spotlight: "Learning Background Invariance Improves Generalization and Robustness in Self Supervised Learning on ImageNet and Beyond"

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