23:20rigor in machine learningTalk
Ali Rahimi's talk at NIPS(NIPS 2017 Test-of-time award presentation)
ObservantVids
3 HN recommenders
23:20rigor in machine learningTalk
ObservantVids
3 HN recommenders
1:05:18
4:17neural denoising for ray tracingExplainer
Two Minute Papers
2 HN recommenders
42:30ai risk and understandingInterview
CBS Mornings
3 HN recommenders
4:12
2:26:08ai agents and agi timelinesInterview
Dwarkesh Patel
Discussed on HN
6:36facial reenactmentDemo
Matthias Niessner
Discussed on HN
22:51machine learning rigorTalk
Preserve Knowledge
Discussed on HN
Machine learning involves both the models and the data and systems around them. This collection spans neural networks, language models, computer vision, data engineering and the broader consequences of AI. Students can begin with an introductory topic; practitioners can use the subject links to find a more specific technical discussion.
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