Interesting ML Papers - November 18 2023 Streaming LLM
Interesting ML Papers
SDML is kicking off a new regular event where Ryan Chesler and Ted Kyi highlight interesting machine learning papers. For our inaugural session, we plan to review the following papers:
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Textbooks Are All You Need II: phi-1.5 technical report
3D Gaussian Splatting for Real-Time Radiance Field Rendering
PDFTriage: Question Answering over Long, Structured Documents
Efficient Streaming Language Models with Attention Sinks
Join us for an interactive discussion about new trends and state of the art techniques in artificial intelligence.
Please make sure to read the instructions for joining the event below.
Agenda:
12:00 - 12:05 pm -- Arrival
12:05 - 1:00 pm -- Presentation and discussion
Time permitting -- Additional Q&A
Links to notes/slides and videos of prior meetups are available on the SDML GitHub repo https://github.com/SanDiegoMachineLea...
Location:
Please Note: There are two steps required to join this online meetup:
You must go to our Slack community and ask for the password for the meeting. Link to join is below.
You must have a Zoom login in order to join the event. A free Zoom account will work. If you get an error message joining the Zoom, please login to your account on the Zoom website then try again.
Community:
Join our slack channel for questions and discussion about what's new in ML:
https://join.slack.com/t/sdmachinelea...