no code implementations • 28 Mar 2024 • Kexin Shi, Jing Zhang, Linjiajie Fang, Wenjia Wang, BingYi Jing
In implicit collaborative filtering, hard negative mining techniques are developed to accelerate and enhance the recommendation model learning.
no code implementations • 25 Sep 2023 • Xuxin Cheng, Kexin Shi, Ananye Agarwal, Deepak Pathak
In this paper, we take a similar approach to developing robot parkour on a small low-cost robot with imprecise actuation and a single front-facing depth camera for perception which is low-frequency, jittery, and prone to artifacts.
no code implementations • 25 Nov 2022 • Kexin Shi, Yun Zhang, BingYi Jing, Wenjia Wang
In implicit collaborative filtering (CF) task of recommender systems, recent works mainly focus on model structure design with promising techniques like graph neural networks (GNNs).
no code implementations • 4 Oct 2022 • Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza
Recently, neural control policies have outperformed existing model-based planning-and-control methods for autonomously navigating quadrotors through cluttered environments in minimum time.