Open Images contains ~9M images with labels spanning thousands of categories. Visit the #ICCV2023 Google booth today at 3:30 PM to find out how this dataset stimulates progress toward genuine scene understanding. Learn more at https://
g.co/dataset/open-i
mages
… and http://
goo.gle/3FiGPgk
MACHINE LEARNING
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Open Images Dataset Advances Scene Understanding at ICCV2023
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ICCV and IROS conferences should coordinate locations strategically
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Why fight? Cooperation would not hurt. @ICCVConference should co-locate with @ieeeiros and figure this out.
ICCV 2025: Honolulu, 2027: tbd.
IROS 2025: Hangzhou, 2026: Americas, 2027: Europe, 2028: Asia, 2029: Americas -
In-Context Learning for Novel Subject Rendering Without Fine-Tuning
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Drop by the #ICCV2023 Google booth today at 12:30 PM to learn about an in-context learning technique that, given examples of a new subject (e.g., sunglasses, a dog), generates novel renderings of it in different scenes, without the need for fine-tuning.
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Google Showcases Latest Computer Vision Innovations at ICCV
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At @ICCVConference
? We hope you’ll visit the Google booth to chat with researchers who are actively pursuing the latest innovations in computer vision! Read about our #ICCV2023 involvement and see the booth activity schedule at https://
goo.gle/3PCSnhJ -
Student Wins ICCV Best Paper Award for Tracking Research
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Congratulations to @QianqianWang5 for winning the 2023 Best Student Paper Award at #ICCV2023 for the “Tracking Everything Everywhere All at Once” paper, which she wrote along with Aleksander Holynski, Noah Snavely, Zhengqi Li, and others.
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Neural Network Architecture Growth During Agent Lifetime
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This reminds me of backprop NEAT, but the difference is here, the neural network architecture develops and grows during the lifetime of the agent!https://t.co/0V3BC5Cu9v pic.twitter.com/gMqYUyvRZZ
— hardmaru (@hardmaru) 4 octobre 2023This reminds me of backprop NEAT, but the difference is here, the neural network architecture develops and grows during the lifetime of the agent! https://
blog.otoro.net/2016/05/07/bac
kprop-neat/
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Self-Assembling Artificial Neural Networks through Developmental Programs
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Towards Self-Assembling Artificial Neural Networks through Neural Developmental Programs
— hardmaru (@hardmaru) 4 octobre 2023
This is the most interesting work I’ve seen recently! We need to “grow artificial brains” that adapt to the environment and resources to get anywhere near Strong AI.https://t.co/i2HoYtNE1e https://t.co/1w3PMbrYGgTowards Self-Assembling Artificial Neural Networks through Neural Developmental Programs This is the most interesting work I've seen recently! We need to "grow artificial brains" that adapt to the environment and resources to get anywhere near Strong AI. https://arxiv.org/abs/2307.08197
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How researchers broke ChatGPT and implications for AI
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How researchers broke ChatGPT and what it could mean for future AI development https://
zd.net/3YrH7J1 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
OpenAI Residents Program: Enter AI/ML Research
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Many of OpenAI's top contributors were originally Residents. If you have great technical skills in your current field & want to enter AI/ML research, you should apply!