no code implementations • 16 Jan 2024 • Fei Guo, Yikang Wang, Han Qi, Wenping Jin, Li Zhu
In each view, we fuse the prompt embedding as consistent information with visual and the global or local temporal context to overcome the overlapping distribution of classes and outliers.
1 code implementation • 12 Dec 2023 • Han Qi, Fei Guo, Li Zhu
This paper aims to design a multi-armed bandit algorithm that can be implemented without using information about the reward distribution while still achieving substantial regret upper bounds.
no code implementations • 2 Dec 2023 • Fei Guo, Li Zhu, Yikang Wang, Han Qi
Although some multi-modal works use labels as supplementary to construct prototypes of support videos, they can not use this information for query videos.
no code implementations • 16 Oct 2023 • Han Qi, Xinyang Geng, Stefano Rando, Iku Ohama, Aviral Kumar, Sergey Levine
In computational chemistry, crystal structure prediction (CSP) is an optimization problem that involves discovering the lowest energy stable crystal structure for a given chemical formula.
1 code implementation • 5 Aug 2023 • Frederic Wang, Han Qi, Alfredo De Goyeneche, Reinhard Heckel, Michael Lustig, Efrat Shimron
In each training iteration, rather than using the fully sampled k-space for computing gradients, we use only a small k-space portion.
no code implementations • 18 May 2023 • Han Qi, Yue Wang, Li Zhu
Under mild assumptions, we show that DS-TS with Gaussian priors can achieve nearly optimal regret bound on the order of $\tilde{O}(\sqrt{TB_T})$ for abruptly changing and $\tilde{O}(T^{\beta})$ for smoothly changing, where $T$ is the number of time steps, $B_T$ is the number of breakpoints, $\beta$ is associated with the smoothly changing environment and $\tilde{O}$ hides the parameters independent of $T$ as well as logarithmic terms.
no code implementations • 21 Nov 2022 • Han Qi, Yi Su, Aviral Kumar, Sergey Levine
The goal in offline data-driven decision-making is synthesize decisions that optimize a black-box utility function, using a previously-collected static dataset, with no active interaction.