Three papers accepted by NeurIPS 2024!
From the machine learning and data science unit, we have three NeurIPS papers accepted! Congratulations!
A paper accepted by EMNLP 2024!
Pengfei's paper has been accepted by EMNLP 2024 Main! Congratulations! Pengfei He (MSU) https://pengfeihepower.github.io/
Members will serve as area chairs of ICLR2025!
Makoto and Mohammad will serve as area chairs of ICLR 2025!
MLDS VRS Program 2025
We have started accepting the application of MLDS VRS Program 2025! Please consider applying to the program. The deadline is on November 15th, 2024.
1st OIST Machine Learning Workshop
We will organize the first OIST Machine Learning Workshop in March 2025! Please mark your calender!
MLSS 2024 lecture videos are now available on Youtube!
We have organized the MLSS 2024 summer school at OIST and the most of lecture videos are available at Youtube! Please check it! https://groups.oist.jp/mlss/program
New interns in 2024 (part II)
Four new interns have joined MLDS unit in May. Welcome!!! - Siqi (Cindy) Zeng (Ph.D. student, UIUC)- Weiqiu You (Ph.D. student, University of Pennsylvania)- Jose Renato Restom (Ph.D. student, MBZUAI)- Rahul Steiger (M.S. student, ETH)
New interns in 2024 (part I)
Four new interns have joined MLDS unit in March and April. Welcome!!! - Ayoub Rhim (M.S. student, Ecole des Ponts Paristech)- Guillaume Henon (M.S. student, Ecole des Ponts Paristech)- Kenta Vert (M.S. student, Ecole Polytechnique)- Daniel Yang (B.S. student, ETH)
Organized the Machine Learning Summer School 2024!
We organized the machine learning summer school (MLSS) 2024 at OIST! We accepted more than 200 participants and learned various machine learning topics. For the detailed information, please check the following page. MLSS 2024 Okinawa 2024
Two papers accepted by CVPR 2024!
The following two papers have been accepted by CVPR 2024! Congratulations, Mohammad!!! Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher Soltani, Mohammad Azizmalayeri, Jafar Habibi, Mohammad Hossein Rohban, Mohammad Sabokrou, Universal Novelty Detection through Adaptive Contrastive Learning, CVPR 2024 Mozhgan Pourkeshavarz, Mohammad Sabokrou, Amir Rasouli, Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving. CVPR 2024