title: Perspectives on the State and Future of Deep Learning -- 2023
summary: 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.
paper_authors._id: 657fd3a3efc0f84bcbb9fe96
paper_authors.name: Micah Goldblum
paper_authors._id: 657fd3a3efc0f84bcbb9fe97
paper_authors.name: Anima Anandkumar
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-12-18T11:24:55.119Z
paper_authors._id: 6532920b3e385cfc6002938d
paper_authors.avatarUrl: /avatars/cb9cc6d2733031582c83f56dc6cd1dd5.svg
paper_authors.fullname: Anima Anandkumar
paper_authors.type: user
paper_authors.user: animakumar
paper_authors._id: 657fd3a3efc0f84bcbb9fe98
paper_authors.name: Richard Baraniuk
paper_authors._id: 657fd3a3efc0f84bcbb9fe99
paper_authors.name: Tom Goldstein
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-12-18T11:25:05.958Z
paper_authors._id: 6381ca7d65dc156aba0b933d
paper_authors.avatarUrl: /avatars/84dfdca8e1cd6fbf50d6fb2a6f1b488d.svg
paper_authors.fullname: Tom Goldstein
paper_authors.type: user
paper_authors.user: tomgoldstein
paper_authors._id: 657fd3a3efc0f84bcbb9fe9a
paper_authors.name: Kyunghyun Cho
paper_authors.status: extracted_pending
paper_authors.statusLastChangedAt: 2023-12-18T05:07:48.219Z
paper_authors._id: 649c1b8485b05ee02723334a
paper_authors.avatarUrl: /avatars/29080f550fdb471c4d2daace86aff3b0.svg
paper_authors.fullname: Kyunghyun Cho
paper_authors.type: user
paper_authors.user: kyunghyuncho
paper_authors._id: 657fd3a3efc0f84bcbb9fe9b
paper_authors.name: Zachary C Lipton
paper_authors._id: 657fd3a3efc0f84bcbb9fe9c
paper_authors.name: Melanie Mitchell
paper_authors._id: 657fd3a3efc0f84bcbb9fe9d
paper_authors.name: Preetum Nakkiran
paper_authors._id: 657fd3a3efc0f84bcbb9fe9e
paper_authors.name: Max Welling
paper_authors._id: 657fd3a3efc0f84bcbb9fe9f
paper_authors.name: Andrew Gordon Wilson
paper_title: Perspectives on the State and Future of Deep Learning -- 2023
paper_summary: 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.
paper_ai_keywords: interpretable AI reinforcement learning deep learning NLP