**Apple Sponsoring International Conference on Machine Learning (ICML) in Honolulu**
Apple is proud to sponsor the highly anticipated International Conference on Machine Learning (ICML) in Honolulu, Hawai’i. This conference, dedicated to advancing artificial intelligence, will be held from July 23 to 29 and is expected to attract over 6,000 attendees.
**Apple’s Workshop and Event Schedule at ICML 2023**
Here is the schedule of workshops and events sponsored by Apple at ICML 2023:
**Sunday, July 23**
EXPO TALK: Learning Iconic Scenes with Differential Privacy by Vojta Jina
**Monday, July 24**
No sponsored workshops or events scheduled
**Tuesday, July 25**
POSTER: NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion by 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 by Théo Uscidda, Marco Cuturi
POSTER: DUET: 2D Structured and Approximately Equivariant Representations by 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 by 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 by Marco Cuturi, Michal Klein, Pierre Ablin
ORAL: Generalization on the Unseen, Logic Reasoning and Degree Curriculum by Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk
**Wednesday, July 26**
POSTER: UPSCALE: Unconstrained Channel Pruning by 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 by Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
POSTER: Generalization on the Unseen, Logic Reasoning and Degree Curriculum by Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk
**Thursday, July 27**
POSTER: Robustness in Multimodal Learning under Train-Test Modality Mismatch by 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 by Borja Rodríguez Gálvez, Arno Blaas, Pau Rodriguez, Adam Golinski, Xavi Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
POSTER: Federated Online and Bandit Convex Optimization by Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nati Srebro
POSTER: From Robustness to Privacy and Back by Hilal Asi, Jonathan Ullman, Lydia Zakynthinou
**Friday, July 28**
Accepted Paper Presentations:
– From Robustness to Privacy and Back by Hilal Asi, Jonathan Ullman, Lydia Zakynthinou
– Generalization on the Unseen, Logic Reasoning and Degree Curriculum by Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk
– Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps by Marco Cuturi, Michal Klein, Pierre Ablin
– Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime by Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
– NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion by 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 by Brandon McKinzie, Vaishaal Shankar, Joseph Cheng, Yinfei Yang, Jonathon Shlens, Alexander Toshev
– Stabilizing Transformer Training by Preventing Attention Entropy Collapse by Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M Susskind
**Demos at the Apple Booth**
ICML attendees are invited to visit the Apple booth (booth number 101, located in Hall III of the Hawai’i Convention Center) to experience exciting demos:
1. Learning Iconic Scenes with Differential Privacy: Explore heat maps of popular locations and histograms of photos taken at each location.
2. Object Capture: Generate high-quality 3D models using a series of photos taken on an iPhone or iPad. These models can be viewed in AR Quick Look, integrated into Xcode projects, or used in professional 3D content workflows.
**Acknowledgements**
The following individuals have contributed to ICML 2023 in various capacities:
– Samy Bengio (Senior Area Chair)
– Sinead Williamson (Diversity and Inclusion Chair)
– Marco Cuturi (Communications Chair)
– 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 (Reviewers)