ICLR 2023 - Apple Machine Learning Research

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Apple is sponsoring the International Conference on Learning Representations (ICLR), which will take place as a virtual, hybrid and in-person conference from May 1-5 in Kigali, Rwanda. ICLR is a gathering of professionals dedicated to the advancement of deep learning.

Schedule

Below is the schedule of Apple-sponsored workshops and events at ICLR 2023.

Monday 1 May

Tuesday, May 2nd

Friday, May 5th

Acceptable papers

Accepted conference papers

Continuous false labeling from the start

Dan Burpee, Ronan Colobert, Sami Bengio, Navdeep Jaitley, Tatyana Likhomanenko

spread of probability fields

Pei Zhuang, Samira Abnar, Jiatao Guo, Alexander Schoeng, Josh Suskind, and Miguel Angel Bautista Martin

FastFill: An efficient compatible model update using uncertainty estimation

Florian Jaikli, Onsel Tozel, Fartash Faghari, Ali Farhadi, Hadipour Ansari

MAST: Persuasive subpersonal space training for generalizable, self-supervised adults

Chen Huang, Hanlin Guo, Jiato Guo, Josh Susskind

RGI: Robust GAN reflection for mask-free image painting and unsupervised pixel anomaly detection

Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi

Thanks and appreciation

Audra McMillan, Chen Huang, Barry Theobald, Helal Asi, Luca Zabella, Miguel Angel Bautista Martin, Pierre Ablin, Pao Rodriguez, Rene Sosa, Samira Abnar, Tatiana Likhomenko, Vaishal Shankar, Vimal Thilak are the reviewers of ICLR 2023.

John Schlens and Marco Cuttori are district chairs for ICLR 2023.

Let’s create together. Build amazing machine learning experiences with Apple. Discover the opportunities available to researchers, students and developers by visiting the Work with Us page.

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