Can Autonomous Vehicles Identify, Recover From, and Adapt to
Distribution Shifts?

Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?

26 June 2020

Nicholas Rhinehart

Papers citing "Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?"

13 / 63 papers shown

Title
Domain Generalization for Vision-based Driving Trajectory Generation Yunkai Wang Dongkun Zhang Yuxiang Cui Zexi Chen Wei Jing Junbo Chen R. Xiong Yue Wang 31 3 0 22 Sep 2021
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning Qiang He Yuxun Qu Chen Gong Xinwen Hou OffRL 22 10 0 22 Sep 2021
Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles Josiah P. Hanna Arrasy Rahman Elliot Fosong Francisco Eiras M. Dobre John Redford S. Ramamoorthy Stefano V. Albrecht 41 25 0 05 Aug 2021
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 26 47 0 15 Jun 2021
Learning by Watching Jimuyang Zhang Eshed Ohn-Bar EgoV 41 33 0 10 Jun 2021
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving Aditya Prakash Kashyap Chitta Andreas Geiger ViT 51 510 0 19 Apr 2021
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors Michelle A. Lee Matthew Tan Yuke Zhu Jeannette Bohg 49 25 0 01 Dec 2020
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction Yeping Hu Wei Zhan Masayoshi Tomizuka 26 36 0 07 Apr 2020
A Survey of End-to-End Driving: Architectures and Training Methods Ardi Tampuu Maksym Semikin Naveed Muhammad D. Fishman Tambet Matiisen 3DV 23 228 0 13 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 413 11,715 0 09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 246 810 0 13 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,145 0 06 Jun 2015