深度學習的現狀與未來展望 -- 2023
Perspectives on the State and Future of Deep Learning -- 2023
December 7, 2023
作者: Micah Goldblum, Anima Anandkumar, Richard Baraniuk, Tom Goldstein, Kyunghyun Cho, Zachary C Lipton, Melanie Mitchell, Preetum Nakkiran, Max Welling, Andrew Gordon Wilson
cs.AI
摘要
本系列的目標是記錄機器學習領域中當前的觀點和問題，並隨著時間的推移進行更新。計劃定期舉辦這項調查，直到人工智能奇點、紙夾狂熱驅動的世界末日，並保持一份最新的主題問題清單，每期訪問新的社區成員。在本期中，我們探討了人們對可解釋人工智能、現代自然語言處理中基準測試的價值、對理解深度學習進展的狀況以及學術界的未來的看法。
English
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.