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Interpretable Learning for Self-Driving Cars by Visualizing Causal
  Attention

Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention

30 March 2017
Jinkyu Kim
John F. Canny
    FAtt
    XAI
    OOD
    MILM
    CML
ArXivPDFHTML

Papers citing "Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention"

43 / 43 papers shown
Title
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Yi Yu
Song Xia
Xun Lin
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex C. Kot
AAML
SILM
122
0
0
20 Apr 2025
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference
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
39
1
0
16 Sep 2024
Structured Gradient-based Interpretations via Norm-Regularized
  Adversarial Training
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
Shizhan Gong
Qi Dou
Farzan Farnia
FAtt
35
2
0
06 Apr 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
64
6
0
18 Mar 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented
  In-Context Learning in Multi-Modal Large Language Model
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
16
48
0
16 Feb 2024
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Chong Wang
Yuanhong Chen
Fengbei Liu
Yuyuan Liu
Davis J. McCarthy
Helen Frazer
Gustavo Carneiro
18
1
0
30 Nov 2023
Interpretable Reinforcement Learning for Robotics and Continuous Control
Interpretable Reinforcement Learning for Robotics and Continuous Control
Rohan R. Paleja
Letian Chen
Yaru Niu
Andrew Silva
Zhaoxin Li
...
K. Chang
H. E. Tseng
Yan Wang
S. Nageshrao
Matthew C. Gombolay
26
7
0
16 Nov 2023
Interpretability-Aware Vision Transformer
Interpretability-Aware Vision Transformer
Yao Qiang
Chengyin Li
Prashant Khanduri
D. Zhu
ViT
80
7
0
14 Sep 2023
A Survey of Explainable AI and Proposal for a Discipline of Explanation
  Engineering
A Survey of Explainable AI and Proposal for a Discipline of Explanation Engineering
Clive Gomes
Lalitha Natraj
Shijun Liu
Anushka Datta
11
0
0
20 May 2023
Textual Explanations for Automated Commentary Driving
Textual Explanations for Automated Commentary Driving
Marc Alexander Kühn
Daniel Omeiza
Lars Kunze
22
6
0
12 Apr 2023
ADAPT: Action-aware Driving Caption Transformer
ADAPT: Action-aware Driving Caption Transformer
Bu Jin
Xinyi Liu
Yupeng Zheng
Pengfei Li
Hao Zhao
Tong Zhang
Yuhang Zheng
Guyue Zhou
Jingjing Liu
25
69
0
01 Feb 2023
Evaluating Temporal Observation-Based Causal Discovery Techniques
  Applied to Road Driver Behaviour
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour
Rhys Howard
Lars Kunze
CML
23
7
0
31 Jan 2023
Explainability and Robustness of Deep Visual Classification Models
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
29
2
0
03 Jan 2023
Learning Road Scene-level Representations via Semantic Region Prediction
Learning Road Scene-level Representations via Semantic Region Prediction
Zihao Xiao
Alan Yuille
Yi-Ting Chen
21
2
0
02 Jan 2023
Towards Cooperative Flight Control Using Visual-Attention
Towards Cooperative Flight Control Using Visual-Attention
Lianhao Yin
Makram Chahine
Tsun-Hsuan Wang
Tim Seyde
Chao Liu
Mathias Lechner
Ramin Hasani
Daniela Rus
11
4
0
21 Dec 2022
Interpretable ML for Imbalanced Data
Interpretable ML for Imbalanced Data
Damien Dablain
C. Bellinger
Bartosz Krawczyk
D. Aha
Nitesh V. Chawla
22
1
0
15 Dec 2022
Unsupervised Model Adaptation for Source-free Segmentation of Medical
  Images
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images
Serban Stan
Mohammad Rostami
OOD
25
10
0
02 Nov 2022
PlanT: Explainable Planning Transformers via Object-Level
  Representations
PlanT: Explainable Planning Transformers via Object-Level Representations
Katrin Renz
Kashyap Chitta
Otniel-Bogdan Mercea
A. Sophia Koepke
Zeynep Akata
Andreas Geiger
ViT
28
94
0
25 Oct 2022
IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks
IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks
Neophytos Christou
Di Jin
Vaggelis Atlidakis
Baishakhi Ray
V. Kemerlis
16
13
0
29 Sep 2022
DRAMA: Joint Risk Localization and Captioning in Driving
DRAMA: Joint Risk Localization and Captioning in Driving
Srikanth Malla
Chiho Choi
Isht Dwivedi
Joonhyang Choi
Jiachen Li
94
87
0
22 Sep 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for
  Uncertainty Categorization
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
Hao Sun
B. V. Breugel
Jonathan Crabbé
Nabeel Seedat
M. Schaar
24
4
0
11 Jul 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving
Learning Interpretable, High-Performing Policies for Autonomous Driving
Rohan R. Paleja
Yaru Niu
Andrew Silva
Chace Ritchie
Sugju Choi
Matthew C. Gombolay
13
16
0
04 Feb 2022
Towards Safe, Explainable, and Regulated Autonomous Driving
Towards Safe, Explainable, and Regulated Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
26
11
0
20 Nov 2021
Self-Interpretable Model with TransformationEquivariant Interpretation
Self-Interpretable Model with TransformationEquivariant Interpretation
Yipei Wang
Xiaoqian Wang
24
23
0
09 Nov 2021
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency
Lin Cheng
Pengfei Fang
Yanjie Liang
Liao Zhang
Chunhua Shen
Hanzi Wang
FAtt
17
11
0
11 Oct 2021
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
Wentao Bao
Qi Yu
Yu Kong
FAtt
14
39
0
21 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity
Meta-learning Amidst Heterogeneity and Ambiguity
Kyeongryeol Go
Seyoung Yun
22
1
0
05 Jul 2021
A Review on Explainability in Multimodal Deep Neural Nets
A Review on Explainability in Multimodal Deep Neural Nets
Gargi Joshi
Rahee Walambe
K. Kotecha
16
137
0
17 May 2021
Explanations in Autonomous Driving: A Survey
Explanations in Autonomous Driving: A Survey
Daniel Omeiza
Helena Webb
Marina Jirotka
Lars Kunze
11
212
0
09 Mar 2021
Exploring Imitation Learning for Autonomous Driving with Feedback
  Synthesizer and Differentiable Rasterization
Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization
Jinyun Zhou
Rui Wang
Xu Liu
Yifei Jiang
Shu Jiang
J. Tao
Jinghao Miao
Shiyu Song
27
35
0
02 Mar 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
32
169
0
13 Jan 2021
Counterfactual Explanation and Causal Inference in Service of Robustness
  in Robot Control
Counterfactual Explanation and Causal Inference in Service of Robustness in Robot Control
Simón C. Smith
S. Ramamoorthy
13
13
0
18 Sep 2020
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Jinkyu Kim
Mayank Bansal
19
13
0
08 May 2020
Explainable Object-induced Action Decision for Autonomous Vehicles
Explainable Object-induced Action Decision for Autonomous Vehicles
Yiran Xu
Xiaoyin Yang
Lihang Gong
Hsuan-Chu Lin
Tz-Ying Wu
Yunsheng Li
Nuno Vasconcelos
16
104
0
20 Mar 2020
A Survey of End-to-End Driving: Architectures and Training Methods
A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu
Maksym Semikin
Naveed Muhammad
D. Fishman
Tambet Matiisen
3DV
13
228
0
13 Mar 2020
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep
  Reinforcement Learning
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning
Juil Sock
Guillermo Garcia-Hernando
Tae-Kyun Kim
17
11
0
19 Oct 2019
Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention
Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention
Ye Xia
Jinkyu Kim
John F. Canny
K. Zipser
D. Whitney
16
51
0
24 Mar 2019
Interpretable machine learning: definitions, methods, and applications
Interpretable machine learning: definitions, methods, and applications
W. James Murdoch
Chandan Singh
Karl Kumbier
R. Abbasi-Asl
Bin-Xia Yu
XAI
HAI
21
1,415
0
14 Jan 2019
Interpretable Spatio-temporal Attention for Video Action Recognition
Interpretable Spatio-temporal Attention for Video Action Recognition
Lili Meng
Bo-Lu Zhao
B. Chang
Gao Huang
Wei Sun
Fred Tung
Leonid Sigal
23
82
0
01 Oct 2018
CIRL: Controllable Imitative Reinforcement Learning for Vision-based
  Self-driving
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving
Xiaodan Liang
Tairui Wang
Luona Yang
Eric P. Xing
19
266
0
10 Jul 2018
Action Recognition with Spatio-Temporal Visual Attention on Skeleton
  Image Sequences
Action Recognition with Spatio-Temporal Visual Attention on Skeleton Image Sequences
Zhengyuan Yang
Y. Li
Jianchao Yang
Jiebo Luo
3DPC
21
12
0
31 Jan 2018
End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars
  with Visual Perception
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
16
154
0
20 Jan 2018
Using Program Induction to Interpret Transition System Dynamics
Using Program Induction to Interpret Transition System Dynamics
Svetlin Penkov
S. Ramamoorthy
AI4CE
19
11
0
26 Jul 2017
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