Apple is sponsoring the International Conference on Machine Learning (ICML), which will take place in person from July 23 to 29 in Honolulu, Hawai’i. ICML is a conference dedicated to advancing artificial intelligence, with over 6,000 attendees. Below is the schedule of Apple-sponsored workshops and events at ICML 2023.
Schedule
Sunday, July 23
Monday, July 24
Tuesday, July 25
- POSTER
- NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
- 11:00 AM – 1:30 PM LT in Exhibit Hall 1 #231
- Jiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi
- POSTER
- The Monge Gap: A Regularizer to Learn All Transport Maps
- 11:00 AM – 1:30 PM LT in Exhibit Hall 1 #333
- Théo Uscidda, Marco Cuturi
- POSTER
- DUET: 2D Structured and Approximately Equivariant Representations
- 2:00 – 3:30 PM LT in Exhibit Hall 1 #235
- Xavi Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
- POSTER
- Stabilizing Transformer Training by Preventing Attention Entropy Collapse
- 2:00 – 3:30 PM LT in Exhibit Hall 1 #503
- Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M Susskind
- POSTER
- Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
- 2:00 – 3:30 PM LT in Exhibit Hall 1 #431
- Marco Cuturi, Michal Klein, Pierre Ablin
- ORAL PRESENTATION
- Generalization on the Unseen, Logic Reasoning and Degree Curriculum
- 6:50 PM LT in Meeting Room 316 A-C
- Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk
Wednesday, July 26
- POSTER
- UPSCALE: Unconstrained Channel Pruning
- 11:00 AM – 12:30 PM LT in Exhibit Hall 1 #729
- Alvin Wan, Hanxiang Hao, Kaushik Patnaik, Yueyang Xu, Omer Hadad, David Güera, Zhile Ren, Qi Shan
- POSTER
- Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime
- 2:00 – 3:30 PM LT in Exhibit Hall 1 #801
- Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
- POSTER
- Generalization on the Unseen, Logic Reasoning and Degree Curriculum
- 2:00 – 3:30 PM LT in Exhibit Hall 1 #433
- Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk
Thursday, July 27
- POSTER
- Robustness in Multimodal Learning under Train-Test Modality Mismatch
- 10:30 AM – 12:00 PM LT in Exhibit Hall 1 #717
- Brandon McKinzie, Vaishaal Shankar, Joseph Cheng, Yinfei Yang, Jonathon Shlens, Alexander Toshev
- POSTER
- The Role of Entropy and Reconstruction for Multi-View Self-Supervised Learning
- 10:30 AM – 12:00 PM LT in Exhibit Hall 1 #220
- Borja Rodríguez Gálvez, Arno Blaas, Pau Rodriguez, Adam Golinski, Xavi Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
- POSTER
- Federated Online and Bandit Convex Optimization
- 10:30 AM – 12:00 PM LT in Exhibit Hall 1 #440
- Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nati Srebro
- POSTER
- From Robustness to Privacy and Back
- 1:30 – 3:00 PM LT in Exhibit Hall 1 #438
- Hilal Asi, Jonathan Ullman, Lydia Zakynthinou
- SOCIAL
- Black in AI
- 5:45 – 7:30 PM LT in Meeting Room 313
Friday, July 28
- WORKSHOP
- Interpretable Machine Learning in Healthcare
- 9:00 AM – 5:00 PM LT in Ballroom C
- Agni Kumar is a co-organizer of this workshop.
- WORKSHOP
- Synergy of Scientific and Machine Learning Modeling
- 9:00 AM – 5:00 PM LT in Meeting Room 320
- Jörn-Henrik Jacobsen and Antoine Wehenkel are co-organizers of this workshop, Andrew C. Miller is an invited speaker/panelist for this workshop, and Tatiana Likhomanenko is a reviewer for this workshop.
- WORKSHOP
- Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators
- 9:00 AM – 5:00 PM LT in Meeting Room 310
- Marco Cuturi is a co-organizer of this workshop.
- WORKSHOP
- Knowledge and Logical Reasoning in the Era of Data-driven Learning
- 9:00 AM – 5:00 PM LT in Meeting Room 301
- Samy Bengio is an invited speaker
- WORKSHOP
- Women in Machine Learning
- 8:15 AM – 4:45 PM LT in Meeting Room 316C
- Rishika Agarwal and Ivy Zhang will host a roundtable on mentorships during the workshop.
- WORKSHOP
- Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities
- 9:00 AM – 5:00 PM LT in Meeting Room 311
- Jianyu Wang is a co-organizer of this workshop. Vojta Jina is an invited speaker.
- Accepted Paper: Population Expansion for Training Language Models with Private Federated Learning
- Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis
- Accepted Paper: Differentially Private Heavy Hitters using Federated Analytics
- Karan Chadha, Junye Chen, John Duchi, Vitaly Feldman, Hanieh Hashemi, Omid Javidbakht, Audra McMillan, Kunal Talwar
- WORKSHOP
- Indigenous in AI
- 9:00 AM – 5:00 PM LT in Meeting Room 316C
- This is a joint workshop with Queer in AI.
- Sinead Williamson is a co-organizer of this workshop.
Saturday, July 29
Accepted Papers
From Robustness to Privacy and Back
Hilal Asi, Jonathan Ullman, Lydia Zakynthinou
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk
Marco Cuturi, Michal Klein, Pierre Ablin
Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime
Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
Jiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi
Robustness in Multimodal Learning under Train-Test Modality Mismatch
Brandon McKinzie, Vaishaal Shankar, Joseph Cheng, Yinfei Yang, Jonathon Shlens, Alexander Toshev
Stabilizing Transformer Training by Preventing Attention Entropy Collapse
Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M Susskind
The Monge Gap: A Regularizer to Learn All Transport Maps
Théo Uscidda, Marco Cuturi
UPSCALE: Unconstrained Channel Pruning
Alvin Wan, Hanxiang Hao, Kaushik Patnaik, Yueyang Xu, Omer Hadad, David Güera, Zhile Ren, Qi Shan
Demos
Learning Iconic Scenes with Differential Privacy
This demo allows users to browse heat maps of popular locations and histograms of the photos taken at each location. Learn more about the research behind the application by reading the paper, Private Federated Statistics in an Interactive Setting.
Object Capture
Object Capture allows users to generate high‑quality 3D models from a series of photos taken on an iPhone or iPad. Using CVML algorithms, Object Capture can analyze the overlap area between different images to match up landmarks, and then produce a 3D model of a photographed object. These models can then be viewed in AR Quick Look, seamlessly integrated into an Xcode project, or used in professional 3D content workflows.
All ICML attendees are invited to stop by the Apple booth (booth number 101, located in Hall III of the Hawai’i Convention Center) to experience these demos in person.
Acknowledgements
Samy Bengio is a Senior Area Chair for ICML 2023.
Ronan Collobert and Navdeep Jaitly are Area Chairs for ICML 2023.
Sinead Williamson is a Diversity and Inclusion Chair for ICML 2023.
Marco Cuturi is a Communications Chair for ICML 2023.
Tatiana Likhomanenko, Rin Susa, Barry Theobald, Pau Rodriguez, Vimal Thilak, Pierre Ablin, Hilal Asi, Samira Abnar, Chen Huang, Vaishaal Shankar, Miguel Sarabia, Antoine Wehenkel, Agni Kumar, Bogdan Mazoure, Preetum Nakkiran, Rishika Agarwal, Yinfei Yang, Amir Shafiq, Jierui Lin, and Xavi Suau are reviewers for ICML 2023.
