dynn-icml2022.github.io - DyNN Workshop - Dynamic Neural Networks Workshop at ICML'22

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Description: Friday, July 22 - 2022 International Conference on Machine Learning - Baltimore, MD

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Deep networks have shown outstanding scaling properties both in terms of data and model sizes: larger performs better. Unfortunately, the computational cost of current state-of-the-art methods is prohibitive. A number of new techniques have recently arisen to address and improve this fundamental quality-cost trade-off. Methods like conditional computation, adaptive computation, dynamic model sparsification, and early-exit approaches aim to address the above mentioned quality-cost trade off. This workshop ex

The 1st Dynamic Neural Networks workshop will be a hybrid workshop at ICML 2022 on July 22, 2022. Our goal is to advance the general discussion of the topic by highlighting contributions proposing innovative approaches regarding dynamic neural networks.

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Links to dynn-icml2022.github.io (6)

• muhanzhang.github.io Muhan Zhang's Homepage
• digantamisra98.github.io Diganta Misra
• anilkagak2.github.io Anil Kag
• rikel.github.io rikel.xyz
• bharat-runwal.github.io Bharat Runwal
• maciejwolczyk.github.io Maciej Wołczyk