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distill.pub | ||
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resources.paperdigest.org
The Conference on Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world. Paper Digest Team analyze all papers published on NIPS in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically construc |
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faculty.ucr.edu
[AI summary] This chapter introduces methods for analyzing the social structure and macro-level embedding of individuals within dyads, triads, clusters, and larger groups using metrics like density, reciprocity, transitivity, clustering, and hierarchy. |
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blog.acolyer.org
A comprehensive survey on graph neural networks Wu et al., arXiv'19 Last year we looked at 'Relational inductive biases, deep learning, and graph networks,' where the authors made the case for deep learning with structured representations, which are naturally represented as graphs. Today's paper choice provides us with a broad sweep of the graph neural... |
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haifengl.wordpress.com
Generative artificial intelligence (GenAI), especially ChatGPT, captures everyone's attention. The transformerbased large language models (LLMs), trained on a vast quantity of unlabeled data at scale, demonstrate the ability to generalize to many different tasks. To understand why LLMs are so powerful, we will deep dive into how they work in this post. LLM Evolutionary Tree... |
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