日本語
博士３年 小島 武さんが研究科長賞、修士２年 王 品蓁さんが専攻長賞を受賞しました。
博士３年 小島 武さんが研究科長賞、修士２年 王 品蓁さんが専攻長賞を受賞しました。
Our paper was accepted for ICLR 2023
① ■書誌情報 Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo. “Interaction-Based Disentanglement of Entities for Object-Centric World Models”, International Conference on Learning Representations (ICLR 2023) ■概要 Perceiving the world compositionally in terms of space and time is essential to understanding object dynamics and solving downstream tasks. Object-centric learning using generative models has improved in its ability to…
Our paper was accepted for Transactions of the Japanese Society for Artificial Intelligence : AI.
Our paper was accepted for Transactions of the Japanese Society for Artificial Intelligence : AI. ◼︎書誌情報 張鑫，松嶋達也，松尾豊，岩澤有祐: M3IL: Multi-Modal Meta-Imitation Learning, 人工知能学会論文誌, 第38巻2号 J-STAGE（2022） ◼︎概要 Imitation Learning(IL) is anticipated to achieve intelligent robots since it allows the user to teach the various robot tasks easily．In particular, Few-Shot Imitation Learning(FSIL) aims to infer and adapt…
Our paper was accepted for New Generation Computing.
Our paper was accepted for New Generation Computing. ■書誌情報 Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo. “Robustifying Vision Transformer Without Retraining From Scratch Using Attention Based Test-Time Adaptation”, New generation computing. ■概要 Vision Transformer (ViT) is becoming more and more popular in the field of image processing. This study aims to improve the robustness against…