Perspectives on the State and Future of Deep Learning - 2023
December 07, 2023 Β· Declared Dead Β· π arXiv.org
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Authors
Micah Goldblum, Anima Anandkumar, Richard Baraniuk, Tom Goldstein, Kyunghyun Cho, Zachary C Lipton, Melanie Mitchell, Preetum Nakkiran, Max Welling, Andrew Gordon Wilson
arXiv ID
2312.09323
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LG
Citations
5
Venue
arXiv.org
Last Checked
4 months ago
Abstract
The goal of this series is to chronicle opinions and issues in the field of machine learning as they stand today and as they change over time. The plan is to host this survey periodically until the AI singularity paperclip-frenzy-driven doomsday, keeping an updated list of topical questions and interviewing new community members for each edition. In this issue, we probed people's opinions on interpretable AI, the value of benchmarking in modern NLP, the state of progress towards understanding deep learning, and the future of academia.
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