NeurIPS 2021

The Neural Information Processing Systems (NeurIPS) conference was held virtually on December 6 - 14. NeurIPS is a global conference focused on fostering the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects.

Accepted Papers

Conference Accepted Papers

ARKitScenes - A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Gilad Baruch, Zhuoyuan Chen, Afshin Dehghan, Tal Dimry, Yuri Feigin, Peter Fu, Thomas Gebauer, Brandon Joffe, Daniel Kurz, Arik Schwartz, Elad Shulman

BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer

Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan

Individual Privacy Accounting via a Renyi Filter

Vitaly Feldman, Tijana Zrnic

Probabilistic Attention for Interactive Segmentation

Prasad Gabbur, Manjot Bilkhu, Javier Movellan

This paper was accepted to the main session at NeurIPS as a spotlight paper.

RIM: Reliable Influence-based Active Learning on Graphs

Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui

This paper was accepted to the main session at NeurIPS as a spotlight paper.

Workshop Accepted Papers

Challenges of Adversarial Image Augmentations

Arno Blaas, Xavier Suau Cuadros, Jason Ramapuram, Luca Zappella, Nicholas Apostoloff

Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?

Tom Grigg, Dan Busbridge, Jason Ramapuram, Russ Webb

Enforcing Fairness in Private Federated Learning via the Modified Method of Differential Multipliers

Borja Rodríguez-Gálvez, Filip Granqvist, Rogier van Dalen, Matt Seigel

Learning Invariant Representations with Missing Data

Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Puli, Rajesh Ranganath, Andrew C. Miller

Robust Robotic Control from Pixels Using Contrastive Recurrent State-Space Models

Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh Susskind

Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation

Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan

Stochastic Contrastive Learning

Jason Ramapuram, Dan Busbridge, Xavier Suau, Russ Webb

Talks and Workshops

“Meet Apple” is an opportunity to learn more about our machine learning teams, working at Apple, and how to apply to full-time positions. This talk will be held virtually on December 8 at 1:15 pm PST.

Apple will be hosting a panel on internships, where attendees can learn more about internship opportunities across our machine learning teams. It will be held virtually on December 8 at 2:30 pm PST.

Nick Foti is a co-organizer of the Your Model is Wrong: Robustness and Misspecification in Probabilistic Modeling workshop at NeurIPS, which will take place on December 14.

Yahav Bechavod and Tijana Zrnic, two of our Apple Scholars in AIML, have co-organized the StratML workshop at NeurIPS that will take place on December 14. While Apple is not a sponsor or organizer of the StratML workshop, we are excited to amplify the outstanding work and contributions of students who are Apple Scholars.

All registered NeurIPS attendees are invited to attend each event. Check out our agenda for more information on how to join.

Affinity Events

Apple was a sponsor of LatinX in AI, which held a workshop at NeurIPS on December 7. Miguel Angel Bautista Martin was a mentor in this workshop.

Apple was also a sponsor of Women in Machine Learning, whose workshop took place December 8 to 10. Lizi Ottens spoke about how our on-device machine learning powers intelligent experiences in Apple products.

In addition to LatinX in AI and Women in Machine Learning, Apple is a sponsor of Queer in AI, which held a workshop on December 7 and 8.

Black in AI hosted a workshop on December 10.

Learn more about Apple’s company-wide efforts in inclusion and diversity.

Acknowledgements

Samy Bengio was a NeurIPS 2021 Board Member, and one of the Ethics Review Chairs of the NeurIPS 2021 Organizing Committee.