content type eventpublished May 2023
Apple is sponsoring the International Conference on Learning Representations (ICLR), which will be held as a hybrid virtual and in person conference from May 1 - 5 in Kigali, Rwanda. ICLR brings together professionals dedicated to the advancement of deep learning. Below is the schedule of Apple sponsored workshops and events at ICLR 2023.
Schedule
Monday, May 1
- ACCEPTED PAPER
- Continuous Pseudo-labeling from the Start
- 11:30 AM - 1:30 PM LT MH1-2-3-4 #163
- Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko
Tuesday, May 2
- ACCEPTED PAPER
- Adaptive Optimization in the ∞-Width Limit
- 11:30 AM - 1:30 PM LT MH1-2-3-4 #139
- Etai Littwin, Greg Yang
- ACCEPTED PAPER
- Diffusion Probabilistic Fields
- 11:30 AM - 1:30 PM LT MH1-2-3-4 #72
- Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander Schwing, Josh M. Susskind, Miguel Angel Bautista
- ACCEPTED PAPER
- f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
- 4:30 PM - 6:30 PM LT MH1-2-3-4 #36
- Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Angel Bautista, Josh M. Susskind
Friday, May 5
- WORKSHOP
- AfricaNLP
- 10:00 AM - 7:00 PM LT
- Apple is sponsoring AfricaNLP
Virtual Presentations
- ICLR conference attendees can access Apple virtual paper presentations at any point after they register for the conference.
- f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
- FastFill: Efficient Compatible Model Update
- MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
- RGI: Robust GAN-inversion for Mask-free Image Inpainting and Unsupervised Pixel-wise Anomaly Detection
Accepted Papers
Conference Accepted Papers
Continuous Pseudo-Labeling from the Start
Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko
Diffusion Probabilistic Fields
Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander Schwing, Josh M. Susskind, Miguel Angel Bautista
FastFill: Efficient Compatible Model Update
Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Angel Bautista, Josh M. Susskind
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
Chen Huang, Hanlin Goh, Jiatao Gu, Josh M. Susskind
Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi
Acknowledgements
Samy Bengio is a senior area chair for ICLR 2023.
Audra McMillan, Chen Huang, Barry Theobald, Hilal Asi, Luca Zappella, Miguel Angel Bautista, Pierre Ablin, Pau Rodriguez, Rin Susa, Samira Abnar, Tatiana Likhomanenko, Vaishaal Shankar, Vimal Thilak are reviewers for ICLR 2023.
Jon Shlens and Marco Cuturi are area chairs for ICLR 2023.
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International Conference on Machine Learning (ICML) 2023
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.
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
Diffusion models (DMs) have recently emerged as SoTA tools for generative modeling in various domains. Standard DMs can be viewed as an instantiation of hierarchical variational autoencoders (VAEs) where the latent variables are inferred from input-centered Gaussian distributions with fixed scales and variances. Unlike VAEs, this formulation constrains DMs from changing the latent spaces and learning abstract representations. In this work, we…
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