Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car

25 April 2017

Papers citing "Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car"

44 / 44 papers shown

Title
Robotic Table Tennis: A Case Study into a High Speed Learning System David B. DÁmbrosio Jonathan Abelian Saminda Abeyruwan Michael Ahn Alex Bewley ... Vikas Sindhwani Avi Singh Vincent Vanhoucke Grace Vesom Peng-Tao Xu 60 13 0 20 Feb 2025
Extensive Exploration in Complex Traffic Scenarios using Hierarchical Reinforcement Learning Zhihao Zhang Ekim Yurtsever Keith A. Redmill 33 0 0 28 Jan 2025
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 59 0 0 16 Sep 2024
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference Huy-Dung Nguyen Anass Bairouk Mirjana Maras Wei Xiao Tsun-Hsuan Wang Patrick Chareyre Ramin Hasani Marc Blanchon Daniela Rus 49 1 0 16 Sep 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 69 6 0 18 Mar 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model Jianhao Yuan Shuyang Sun Daniel Omeiza Bo-Lu Zhao Paul Newman Lars Kunze Matthew Gadd LRM 36 48 0 16 Feb 2024
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches Dimia Iberraken Lounis Adouane 17 1 0 29 May 2023
Label Encoding for Regression Networks Deval Shah Zihui Xue Tor M. Aamodt 13 11 0 04 Dec 2022
Dynamic Conditional Imitation Learning for Autonomous Driving Hesham M. Eraqi Mohamed N. Moustafa J. Honer 17 15 0 17 Nov 2022
Integrated Decision and Control for High-Level Automated Vehicles by Mixed Policy Gradient and Its Experiment Verification Yang Guan Liye Tang Chuanxiao Li Shengbo Eben Li Yangang Ren Junqing Wei Bo Zhang Ke Li 18 0 0 19 Oct 2022
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning Paolo Maramotti Alessandro Paolo Capasso Giulio Bacchiani A. Broggi 38 9 0 05 Jul 2022
MPC-Friendly Commitments for Publicly Verifiable Covert Security Nitin Agrawal James Bell Adria Gascon Matt J. Kusner 23 4 0 15 Sep 2021
Integrated Decision and Control at Multi-Lane Intersections with Mixed Traffic Flow Jianhua Jiang Yangang Ren Yang Guan Shengbo Eben Li Yuming Yin X. Jin 16 12 0 30 Aug 2021
Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving Jingliang Duan Dongjie Yu Shengbo Eben Li Wenxuan Wang Yangang Ren Ziyu Lin B. Cheng 22 10 0 24 May 2021
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators Qijing Huang Minwoo Kang Grace Dinh Thomas Norell Aravind Kalaiah J. Demmel J. Wawrzynek Y. Shao 15 105 0 05 May 2021
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion C. Kyrkou T. Theocharides 35 130 0 28 Apr 2021
Incorporating Orientations into End-to-end Driving Model for Steering Control Peng Wan Zhenbo Song Jianfeng Lu LLMSV 20 0 0 10 Mar 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 37 169 0 13 Jan 2021
Sim-to-real reinforcement learning applied to end-to-end vehicle control András Kalapos Csaba Gór Róbert Moni I. Harmati 16 14 0 14 Dec 2020
Robust Behavioral Cloning for Autonomous Vehicles using End-to-End Imitation Learning Tanmay Vilas Samak Chinmay Vilas Samak Sivanathan Kandhasamy 10 31 0 09 Oct 2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters Haoyun Liang Zhihao Ouyang Yuyuan Zeng Hang Su Zihao He Shutao Xia Jun Zhu Bo Zhang 16 47 0 16 Jul 2020
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles Miguel de Prado Manuele Rusci Romain Donze Alessandro Capotondi Serge Monnerat Luca Benini and Nuria Pazos 22 39 0 01 Jul 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Zhangjie Cao Erdem Biyik Woodrow Z. Wang Allan Raventos Adrien Gaidon Guy Rosman Dorsa Sadigh 28 65 0 01 Jul 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
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks Alice Plebe M. Lio 6 2 0 09 Mar 2020
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis Tianfu Li Zhibin Zhao Chuang Sun Li Cheng Xuefeng Chen Ruqaing Yan R. Gao 19 316 0 12 Nov 2019
Controlling an Autonomous Vehicle with Deep Reinforcement Learning A. Folkers Matthias Rick C. Büskens 14 67 0 24 Sep 2019
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles Konstantinos Makantasis Maria Kontorinaki I. Nikolos 16 32 0 10 Jul 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving Jianyu Chen Bodi Yuan M. Tomizuka 22 262 0 20 Apr 2019
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models Adith Boloor Xin He C. Gill Yevgeniy Vorobeychik Xuan Zhang AAML 13 74 0 12 Mar 2019
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis Nesreen Ahmed Theodore L. Willke M. Schaar 14 32 0 30 Oct 2018
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems Richard J. Tomsett Dave Braines Daniel Harborne Alun D. Preece Supriyo Chakraborty FaML 23 164 0 20 Jun 2018
Accelerating Imitation Learning with Predictive Models Ching-An Cheng Xinyan Yan Evangelos A. Theodorou Byron Boots 15 21 0 12 Jun 2018
$ML + FV = $\heartsuit$? A Survey on the Application of Machine Learning to Formal Verification$ ML + FV = $\heartsuit$ ? A Survey on the Application of Machine Learning to Formal Verification Moussa Amrani L. Lucio Adrien Bibal 22 5 0 10 Jun 2018
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models Jacob R. Kauffmann K. Müller G. Montavon DRL 34 96 0 16 May 2018
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners Simon Hecker Dengxin Dai Luc Van Gool 19 164 0 27 Mar 2018
Safe end-to-end imitation learning for model predictive control Keuntaek Lee Kamil Saigol Evangelos A. Theodorou BDL 18 24 0 27 Mar 2018
Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges Gabrielle Ras Marcel van Gerven W. Haselager XAI 17 217 0 20 Mar 2018
Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks Octavian Suciu R. Marginean Yigitcan Kaya Hal Daumé Tudor Dumitras AAML 26 283 0 19 Mar 2018
End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception Zhengyuan Yang Yixuan Zhang Jerry Yu Junjie Cai Jiebo Luo 24 154 0 20 Jan 2018
Agile Autonomous Driving using End-to-End Deep Imitation Learning Yunpeng Pan Ching-An Cheng Kamil Saigol Keuntaek Lee Xinyan Yan Evangelos Theodorou Byron Boots 23 54 0 21 Sep 2017
RAIL: Risk-Averse Imitation Learning Anirban Santara A. Naik Balaraman Ravindran Dipankar Das Dheevatsa Mudigere Sasikanth Avancha Bharat Kaul 13 18 0 20 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017