Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making

15 November 2024

Papers citing "Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making"

8 / 8 papers shown

Title
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jing Liu 194 31 0 27 Aug 2023
Generative AI for End-to-End Limit Order Book Modelling: A Token-Level Autoregressive Generative Model of Message Flow Using a Deep State Space Network Peer Nagy Sascha Frey Silvia Sapora Kang Li Anisoara Calinescu Stefan Zohren Jakob Foerster 54 16 0 23 Aug 2023
End-to-end Autonomous Driving: Challenges and Frontiers Li Chen Peng Wu Kashyap Chitta Bernhard Jaeger Andreas Geiger Hongyang Li 3DV 140 307 0 29 Jun 2023
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 427 2,685 0 04 May 2021
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund OffRL 201 742 0 24 Sep 2020
Object Detection from Scratch with Deep Supervision Zhiqiang Shen Zhuang Liu Jianguo Li Yu-Gang Jiang Yurong Chen Xiangyang Xue ObjD 62 78 0 25 Sep 2018
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 605 2,240 0 25 Jul 2017
Deeply-Supervised Nets Chen-Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu 350 2,243 0 18 Sep 2014