- May 9, 2023Announcement
Papers accepted to ICML 2023
Yandex at ICML 2023
At the International Conference on Machine Learning (ICML 2023), Yandex Research will present papers on modelling tabular data with diffusion models, a model-parallel training algorithm designed for poorly connected devices and other topics. We also co-author a tutorial on reinforcement learning from human feedback.
For a brief summary of each paper, please see our previous ICML post; in this announcement, you will find a schedule of our presentations at the conference with links to pages at the ICML website.
Tutorial: Reinforcement Learning from Human Feedback The link has been copied to clipboard
Jul 24, 2023, 9:30 AM HST, Ballroom B / Link to the tutorial on the ICML virtual portal / Link to the tutorial webpage
This 2-hour tutorial, presented by Nathan Lambert from Hugging Face and Dmitry Ustalov from Toloka, covers both key aspects of RLHF: core machine learning techniques and human-in-the-loop data collection. You can read its agenda on the tutorial webpage.
Papers by Yandex Research and our collaborators The link has been copied to clipboard
TabDDPM: Modelling Tabular Data with Diffusion Models by Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko.
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient by Max Ryabinin, Tim Dettmers, Michael Diskin, Alexander Borzunov.
Poster presentation: Jul 25 11:00 AM HST, Exhibit Hall 1 #217
Which Tricks Are Important for Learning to Rank? by Ivan Lyzhin, Aleksei Ustimenko, Andrey Gulin, Liudmila Prokhorenkova.
FlexGen: High-throughput Generative Inference of Large Language Models with a Single GPU by Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Re, Ion Stoica, Ce Zhang.
Oral presentation: Jul 26, 2023, 4:40 PM HST, Meeting Room 313
Poster presentation: Jul 27, 2023, 10:30 AM HST, Exhibit Hall 1 #216
Poster presentation: Jul 27, 2023, 10:30 AM HST, Exhibit Hall 1 #216