This website has been renewed.
ウェブサイトをリニューアルしました.
Paper accepted in AISTATS.
Our collaborated paper “Learning with Partial Forgetting in Modern Hopfield Networks” (T. Ota et al.) has been accepted to AISTATS 2023.
AISTATS 2023に太田敏博さん（元東工大、現CyberAgent ）との共著論文が採択されました。DENSO IT LAB認識・学習アルゴリズム共同研究講座の成果です。
Won Best Paper Award in ACMMMAsia 2022.
We presented a paper “Informative Sample-Aware Proxy for Deep Metric Learning” (A. Li et al.) and won the best paper award in ACM Multimedia Asia 2022.
ACMMM Asia 2022で発表した論文がBest paper awardを受賞しました。
Paper accepted in AAAI.
Our paper, “Fixed-Weight Difference Target Propagation” (T. Shibuya et al.) has been accepted in AAAI 2023.
AAAI 2023に澁谷 辰吉さん（情理 佐藤育郎研究室）との共著論文が採択されました。DENSO IT LAB認識・学習アルゴリズム共同研究講座の成果です。
Paper presented in BMVC 2022.
Our paper, “Multi-task Curriculum Learning Based on Gradient Similarity” (H. Igarashi, et al.) has been presented in BMVC 2022.
BMVC 2022でマルチタスク学習に関する共著論文を発表しました。デンソーITラボ時代の成果です。
Serving as a PC in ACM MM Asia.
Prof. Kawakami has been serving as a Program Chair in ACM MM Asia 2022
Serving as an AC in 3DV 2022.
Prof. Kawakami has been serving as an Area Chair in 3DV 2022.
Won Nagao Prize!
Our collaborative work recieved MIRU Nagao Prize (Best paper), and MIRU Interactive presentation award, and Prof. Kawakami also received MIRU outstanding reviewer award. MIRU 2022で長尾賞、インタラクティブ優秀発表賞、論文評価貢献賞を受賞しました。
Talks at MIRU 2022.
Prof. Kawakami gave a tutorial talk, a talk in Work-Life Balance, and presented collaborative work in DENSO IT LAB x TOKYO TECH Discussion Night in MIRU 2022. MIRU2022でチュートリアル講演、ワークライフバランスでの講演、DENSO IT LAB x TOKYO TECH Discussion Nightでの成果発表、を行いました。
2 papers presented at ICML 2022.
Two papers (I.Sato et al., S.Yashima et al.) have been presented as Spotlight papers at ICML (International Conference on Machine Learning) 2022.
DENSO IT LAB認識・学習アルゴリズム共同研究講座とデンソーITラボ時代の成果です。