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
A paper accepted by AISTATS 2024
The following paper has been accepted by ICLR 2024! Congratulations Guillaume! Guillaume Houry, Han Bao, Han Zhao, & Makoto Yamada. Fast 1-Wasserstein distance approximations using greedy strategies. In AISTATS, 2024.
A paper accepted by ICLR 2024
The following paper has been accepted by ICLR 2024! Congratulations Haoyu! Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, & Makoto Yamada. Structural Fairness-aware Active Learning for Graph Neural Networks. In ICLR, 2024.