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1703.10631
Cited By
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention
30 March 2017
Jinkyu Kim
John F. Canny
FAtt
XAI
OOD
MILM
CML
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Papers citing
"Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention"
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Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
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A Complete Characterisation of ReLU-Invariant Distributions
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Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments
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DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
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Incorporating Orientations into End-to-end Driving Model for Steering Control
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Explanations in Autonomous Driving: A Survey
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Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization
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Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
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Accelerating Recursive Partition-Based Causal Structure Learning
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Explainability of deep vision-based autonomous driving systems: Review and challenges
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Explainable Artificial Intelligence (XAI): An Engineering Perspective
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Domain Adaptation for the Segmentation of Confidential Medical Images
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Knowledge as Invariance -- History and Perspectives of Knowledge-augmented Machine Learning
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