Pretty much all major CV generative models use skip connections and also modify channel counts over layers
RESEARCH
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Volume 232 of 2023 Conference on Lifelong Learning Agents Available
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Volume 232 Proceedings of the 2023 Conference on Lifelong Learning Agents https://
proceedings.mlr.press/v232/ Is now available on PMLR -
Rise of Multimodal Data Science in AI
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Beyond Text and Numbers: The Rise of Multimodal Data Science #ai #datascience #MachineLearning
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Stanford AI+Health Conference Explores Critical Emerging Issues
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Explore critical and emerging issues with experts from academia, industry, government, and clinical practice at Stanford's AI+Health Online Conference on Dec. 6-7. @StanfordAIMI @StanfordCME https://
stanford.io/46pf5Ag -
Skip Connections Research and Computer Vision Architecture Alternatives
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You gonna pretend there isn’t research suggesting skip connections aren’t needed, and that anyway there’s dozens of ways in CV of dealing with that issue?
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Large Language Models Reshaping Medicine: Stanford Expert Insights
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@stanfordhealth
's Chief Data Scientist and HAI faculty affiliate @drnigam explains how large language models are reshaping medicine in this @jamanetwork Q&A: -
Data AI Summit Call for Presentations Now Open
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Do you have compelling #GenerativeAI, data science, or ML insights? Or maybe you’ve crafted noteworthy features in open-source tech? The #DataAISummit community wants to hear from you. Call for Presentations is now open! Submissions end Jan 5, act now: https://
bit.ly/3sOkYt0 -
Confusion Singularity: Understanding Unpredictable AI Development Points
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"confusion singularity" refers to a point where confusion about a situation becomes so overwhelming that it's impossible to predict or understand future developments
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Society-Centered AI Framework for Societal Challenge Solutions
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Society-Centered AI is a framework for methodical, multi-disciplinary research to tackle societal challenges. Our collective research efforts focus on society’s needs & measurement of societal impact to develop long-lasting, beneficial solutions. More ↓
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Computer Vision Learnings Transfer to Other AI Domains
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Yeah it’s another place where it seems likely some learnings from CV will cross over some day