Congratulations to Jeff Dean, Greg Corrado, & co-authors of the paper “Distributed Representations of Words and Phrases and their Compositionality”, for winning the #NeurIPS2023 Test of Time Award! This prize recognizes a highly impactful paper published at NeurIPS 10 years ago.
RESEARCH
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DALL-E Evolution: From Novelty to Creative Tool
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AI image generator DALL-E has evolved from a novelty to a media creation tool. But Stanford scholars say full creativity remains in the realm of the human. https://
stanford.io/48bQgsY -
Differential Privacy: Correlated Noise in DP Algorithms Explained
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Learning with #DifferentialPrivacy often involves adding noise into the learning process. At 3:20pm today, Krishna Pillutla will be at the #NeurIPS2023 Google booth to explain why it is beneficial in DP algorithms to add noise that is correlated across time. Drop by to hear more!
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Google Advances Extreme-Scale Graph Embedding with TPU Chips
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We are excited to present our latest advances in extreme-scale graph embedding, powered by #TPU AI chips. Join @phanein and @graph_ at #NeurIPS2023 at 3:20PM at the Google Booth to learn more.
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SciPy Python 3.12 Windows Builds: Technical Deep Dive
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The 'eu' in eucatastrophe – Why SciPy builds for Python 3.12 on Windows are a minor miracle https://
bit.ly/472w5wR
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Google Researchers Win 2023 INFORMS Prize for Allocation
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Congratulations to Googlers Santiago Balseiro, Haihao Lu, & Vahab Mirrokni for winning the 2023 INFORMS Revenue Management and Pricing Section Prize (
https://
goo.gle/4851TC3) for "The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems". Read all about it ↓ -
LLM Emerging Capabilities Compared to Human Hallucinations
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https://
blog.neurips.cc/2023/12/11/ann
ouncing-the-neurips-2023-paper-awards/
… @GaryMarcus so, all of the emerging capabilities of LLMs == human hallucinations1 -
AI Ethics Panel Discussion Organized by Stanford HAI Fellow
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In his Student Affinity Group project, HAI graduate fellow @albertotono3 organized a panel discussion with top AI experts moderated by a comedian for a fresh perspective on human-centered AI. https://
stanford.io/4ajAFcy -
NeurIPS Tutorial: Building AI Applications with Large Language Models
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At the NeurIPS tutorial that @isafulf and I presented on Application Development using LLMs, it was great to see the enthusiasm for all the new AI apps now possible. Thanks also to @anbarth @tatsu_hashimoto @merrierm @gneubig for being on our panel, and to everyone that came!