Worldwide Convention on Machine Studying (ICML) 2023

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Apple is sponsoring the Worldwide Convention on Machine Studying (ICML), which can happen in individual from July 23 to 29 in Honolulu, Hawai’i. ICML is a convention devoted to advancing synthetic intelligence, with over 6,000 attendees. Under is the schedule of Apple-sponsored workshops and occasions at ICML 2023.

Schedule

Sunday, July 23

Monday, July 24

Tuesday, July 25

Wednesday, July 26

Thursday, July 27

Friday July 28

Accepted Papers

From Robustness to Privateness and Again

Hilal Asi, Jonathan Ullman, Lydia Zakynthinou

Generalization on the Unseen, Logic Reasoning and Diploma Curriculum

Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk

Monge, Bregman and Occam: Interpretable Optimum Transport in Excessive-Dimensions with Function-Sparse Maps

Marco Cuturi, Michal Klein, Pierre Ablin

Close to-Optimum Algorithms for Non-public On-line Optimization within 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 Studying beneath Practice-Take a look at Modality Mismatch

Brandon McKinzie, Vaishaal Shankar, Joseph Cheng, Yinfei Yang, Jonathon Shlens, Alexander Toshev

Stabilizing Transformer Coaching by Stopping Consideration Entropy Collapse

Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M Susskind

The Monge Hole: A Regularizer to Be taught 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

Studying Iconic Scenes with Differential Privateness

This demo permits customers to browse warmth maps of widespread places and histograms of the pictures taken at every location. Be taught extra in regards to the analysis behind the appliance by studying the paper, Non-public Federated Statistics in an Interactive Setting.

Object Seize

Object Seize permits customers to generate excessive‑high quality 3D fashions from a collection of pictures taken on an iPhone or iPad. Utilizing CVML algorithms, Object Seize can analyze the overlap space between totally different photographs to match up landmarks, after which produce a 3D mannequin of a photographed object. These fashions can then be seen in AR Fast Look, seamlessly built-in into an Xcode mission, or utilized in skilled 3D content material workflows.

All ICML attendees are invited to cease by the Apple sales space (sales space quantity 101, positioned in Corridor III of the Hawai’i Conference Heart) to expertise these demos in individual.

Acknowledgements

Samy Bengio is a Senior Space Chair for ICML 2023.

Sinead Williamson is a Variety 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.

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