Our paper was accepted for NeurIPS2021 (Spotlight)

Our paper was accepted for presentation at NeurIPS2021 (Spotlight) . ︎書誌情報 Yusuke Iwasawa, Yutaka Matsuo. “Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization”,  Advances in Neural Information Processing Systems 2021 (NeurIPS2021). ︎概要 This paper presents a new algorithm for domain generalization (DG), test-time template adjuster (T3A), aiming to develop a model that performs well under conditions…

Our paper was accepted for NeurIPS2021

Our paper was accepted for presentation at NeurIPS2021 . ︎書誌情報 Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, and Shixiang Shane Gu. “Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning”,  Advances in Neural Information Processing Systems 2021 (NeurIPS2021). ︎概要 Recently many algorithms were devised for reinforcement learning (RL) with function approximation. While…