I used a different dataset (IMDB Movie Review), so I can't directly compare. But thanks for sharing these insights regarding the top-2 accuracy issue!
MACHINE LEARNING
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kNN Gzip Method Outperforms Cosine Similarity on IMDb Reviews
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A quick experiment that took a bit due to kNN scaling on large datasets: the kNN + Gzip method is a bit better than cosine similarity on count vectors. On the IMDb Movie review dataset:
– 70% test acc for gzip
– 65% test acc for cosine distance My (re)implementation code: -
Hugging Face Fellows Highlights Summer 2023 Edition
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Hugging Face Fellows is a network of exceptional people who contribute to open-source machine learning Very thrilled to present you the amazing work of our Fellows, Summer '23 edition https://
huggingface2.notion.site/Hugging-Face-F
ellows-Highlights-Summer-23-a4ed623042e74ec9894179efa367e70c
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MathWorks Hiring: Careers for Engineers and Scientists
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See what MathWorks can offer you! http://
spr.ly/6015PDsj7 #hiring #careers #jobs #engineers #scientists -
Stanford CS224W: Machine Learning with Graphs on YouTube
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(1) Stanford CS224W: Machine Learning with Graphs – YouTube
https://bit.ly/3wPe1nR #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Google Advances Privacy-Preserving ML for On-Device Keyboards
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Visit the @icmlconf Google Research booth today at 3:30 PM to learn how multiple years of #FederatedLearning and #DifferentialPrivacy progress led to privacy preserving ML techniques to train models for on-device virtual keyboards, i.e., Gboard.
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AI Tool Enhances Surgeon Performance and Medical Outcomes
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AI Offers Tool to Improve Surgeon Performance
#AI #AIio #BigData #ML #NLU #Futureofwork @nigelwalsh @pbouillaud @PatrickGunz_CH @pierrepinna @RebekahRadice @Ronald_vanLoon @sbmeunier
@Shirastweet http://
ow.ly/a6b830swnqH -
AI-Driven Personalized Medicine: Optimal Therapy Selection Systems
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well what you really want is a system that selects the optimal therapy for you based on the molecular phenotype and functional behaviour of your cells – ie what @exscientiaAI is doing reading recent papers doesn’t actually guarantee anything – esp when you can’t prescribe / https://
x.com/vkhosla/status
/vkhosla/status/1683919781957894148
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Graph Embedding for Network Understanding at ICML2023
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A first step for network understanding is graph embedding, which creates a continuous representation of nodes in a graph to solve downstream tasks. Stop by the #ICML2023 Google booth today at 10:30 AM to learn about work by the Graph Mining team at Google.
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Ethical Machine Learning in Healthcare: ICML 2023 Keynote Insights
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@MarzyehGhassemi speaking about ‘Taking the Pulse of Ethical ML in Health’ as the first keynote of #ICML2023 Have diverse data, audit models, deploy fair advice. So many insights in the progress on ML and Health.