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Textual Explanations for Self-Driving Vehicles

Textual Explanations for Self-Driving Vehicles

30 July 2018
Jinkyu Kim
Anna Rohrbach
Trevor Darrell
John F. Canny
Zeynep Akata
ArXiv (abs)PDFHTMLGithub (83★)

Papers citing "Textual Explanations for Self-Driving Vehicles"

50 / 107 papers shown
Title
Unpaired Image Captioning by Image-level Weakly-Supervised Visual
  Concept Recognition
Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition
Peipei Zhu
Tianlin Li
Yong Luo
Zhenglong Sun
Wei-Shi Zheng
Yaowei Wang
Chen Chen
102
12
0
07 Mar 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Sarah Wiegreffe
Jack Hessel
Swabha Swayamdipta
Mark O. Riedl
Yejin Choi
77
149
0
16 Dec 2021
Towards Safe, Explainable, and Regulated Autonomous Driving
Towards Safe, Explainable, and Regulated Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
100
11
0
20 Nov 2021
Few-Shot Self-Rationalization with Natural Language Prompts
Few-Shot Self-Rationalization with Natural Language Prompts
Ana Marasović
Iz Beltagy
Doug Downey
Matthew E. Peters
LRM
91
110
0
16 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MAVLMAI4CE
195
1,094
0
01 Nov 2021
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
Wentao Bao
Qi Yu
Yu Kong
FAtt
75
41
0
21 Jul 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural
  Language Explanations
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
Bodhisattwa Prasad Majumder
Oana-Maria Camburu
Thomas Lukasiewicz
Julian McAuley
98
36
0
25 Jun 2021
On the Diversity and Limits of Human Explanations
On the Diversity and Limits of Human Explanations
Chenhao Tan
95
33
0
22 Jun 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
138
142
0
17 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A
  Systematic Survey of Surveys on Methods and Concepts
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts
Gesina Schwalbe
Bettina Finzel
XAI
153
198
0
15 May 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in
  Vision-Language Tasks
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
Maxime Kayser
Oana-Maria Camburu
Leonard Salewski
Cornelius Emde
Virginie Do
Zeynep Akata
Thomas Lukasiewicz
VLM
105
101
0
08 May 2021
Where and When: Space-Time Attention for Audio-Visual Explanations
Where and When: Space-Time Attention for Audio-Visual Explanations
Yanbei Chen
Thomas Hummel
A. Sophia Koepke
Zeynep Akata
50
3
0
04 May 2021
Local Interpretations for Explainable Natural Language Processing: A
  Survey
Local Interpretations for Explainable Natural Language Processing: A Survey
Siwen Luo
Hamish Ivison
S. Han
Josiah Poon
MILM
120
51
0
20 Mar 2021
Explanations in Autonomous Driving: A Survey
Explanations in Autonomous Driving: A Survey
Daniel Omeiza
Helena Webb
Marina Jirotka
Lars Kunze
97
223
0
09 Mar 2021
AutoPreview: A Framework for Autopilot Behavior Understanding
AutoPreview: A Framework for Autopilot Behavior Understanding
Yuan Shen
Niviru Wijayaratne
Peter Du
Shanduojiao Jiang
Katherine Driggs Campbell
39
9
0
25 Feb 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural
  Language Processing
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
Sarah Wiegreffe
Ana Marasović
XAI
93
146
0
24 Feb 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
186
177
0
13 Jan 2021
LIREx: Augmenting Language Inference with Relevant Explanation
LIREx: Augmenting Language Inference with Relevant Explanation
Xinyan Zhao
V. Vydiswaran
LRM
115
40
0
16 Dec 2020
Learning from the Best: Rationalizing Prediction by Adversarial
  Information Calibration
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration
Lei Sha
Oana-Maria Camburu
Thomas Lukasiewicz
196
38
0
16 Dec 2020
Developing Future Human-Centered Smart Cities: Critical Analysis of
  Smart City Security, Interpretability, and Ethical Challenges
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Kashif Ahmad
Majdi Maabreh
M. Ghaly
Khalil Khan
Junaid Qadir
Ala I. Al-Fuqaha
119
157
0
14 Dec 2020
Driving Behavior Explanation with Multi-level Fusion
Driving Behavior Explanation with Multi-level Fusion
H. Ben-younes
Éloi Zablocki
Patrick Pérez
Matthieu Cord
73
33
0
09 Dec 2020
Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset
  for Intelligent Vehicles
Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles
Yafu Tian
Alexander Carballo
Ruifeng Li
K. Takeda
GNN
89
27
0
27 Nov 2020
Global Image Segmentation Process using Machine Learning algorithm &
  Convolution Neural Network method for Self- Driving Vehicles
Global Image Segmentation Process using Machine Learning algorithm & Convolution Neural Network method for Self- Driving Vehicles
Tirumalapudi Raviteja
I. S. R. Vedaraj
SSeg
119
2
0
26 Oct 2020
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
339
182
0
24 Oct 2020
Natural Language Rationales with Full-Stack Visual Reasoning: From
  Pixels to Semantic Frames to Commonsense Graphs
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
Ana Marasović
Chandra Bhagavatula
J. S. Park
Ronan Le Bras
Noah A. Smith
Yejin Choi
ReLMLRM
99
62
0
15 Oct 2020
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial
  Explanations of Their Behavior in Natural Language?
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?
Peter Hase
Shiyue Zhang
Harry Xie
Joey Tianyi Zhou
88
102
0
08 Oct 2020
Explaining Deep Neural Networks
Explaining Deep Neural Networks
Oana-Maria Camburu
XAIFAtt
108
26
0
04 Oct 2020
Where is the Model Looking At?--Concentrate and Explain the Network
  Attention
Where is the Model Looking At?--Concentrate and Explain the Network Attention
Wenjia Xu
Jiuniu Wang
Yang Wang
Guangluan Xu
Wei Dai
Yirong Wu
XAI
83
17
0
29 Sep 2020
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics,
  and Datasets
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
Junsuk Choe
Seong Joon Oh
Sanghyuk Chun
Seungho Lee
Zeynep Akata
Hyunjung Shim
WSOL
460
25
0
08 Jul 2020
Weak Supervision and Referring Attention for Temporal-Textual
  Association Learning
Weak Supervision and Referring Attention for Temporal-Textual Association Learning
Zhiyuan Fang
Shu Kong
Zhe Wang
Charless C. Fowlkes
Yezhou Yang
68
17
0
21 Jun 2020
To Explain or Not to Explain: A Study on the Necessity of Explanations
  for Autonomous Vehicles
To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles
Yuan-Chung Shen
Shanduojiao Jiang
Yanlin Chen
Katie Driggs Campbell
82
42
0
21 Jun 2020
Explainable Artificial Intelligence: a Systematic Review
Explainable Artificial Intelligence: a Systematic Review
Giulia Vilone
Luca Longo
XAI
110
271
0
29 May 2020
NILE : Natural Language Inference with Faithful Natural Language
  Explanations
NILE : Natural Language Inference with Faithful Natural Language Explanations
Sawan Kumar
Partha P. Talukdar
XAILRM
119
163
0
25 May 2020
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Jinkyu Kim
Mayank Bansal
94
13
0
08 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAMLXAI
118
380
0
30 Apr 2020
When, Where, and What? A New Dataset for Anomaly Detection in Driving
  Videos
When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos
Yu Yao
Xizi Wang
Mingze Xu
Zelin Pu
E. Atkins
David J. Crandall
86
44
0
06 Apr 2020
TSInsight: A local-global attribution framework for interpretability in
  time-series data
TSInsight: A local-global attribution framework for interpretability in time-series data
Shoaib Ahmed Siddiqui
Dominique Mercier
Andreas Dengel
Sheraz Ahmed
FAttAI4TS
48
12
0
06 Apr 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
75
112
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
111
238
0
13 Mar 2020
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video
  Captioning
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning
Zhiyuan Fang
Tejas Gokhale
Pratyay Banerjee
Chitta Baral
Yezhou Yang
78
63
0
11 Mar 2020
Explaining with Counter Visual Attributes and Examples
Explaining with Counter Visual Attributes and Examples
Sadaf Gulshad
A. Smeulders
XAIFAttAAML
75
15
0
27 Jan 2020
Evaluating Weakly Supervised Object Localization Methods Right
Evaluating Weakly Supervised Object Localization Methods Right
Junsuk Choe
Seong Joon Oh
Seungho Lee
Sanghyuk Chun
Zeynep Akata
Hyunjung Shim
WSOL
405
189
0
21 Jan 2020
Grounding Human-to-Vehicle Advice for Self-driving Vehicles
Grounding Human-to-Vehicle Advice for Self-driving Vehicles
Jinkyu Kim
Teruhisa Misu
Yi-Ting Chen
Ashish Tawari
John F. Canny
90
102
0
16 Nov 2019
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning
  Baselines
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines
Jingxiang Lin
Unnat Jain
Alex Schwing
LRMReLM
102
9
0
31 Oct 2019
Contextual Prediction Difference Analysis for Explaining Individual
  Image Classifications
Contextual Prediction Difference Analysis for Explaining Individual Image Classifications
Jindong Gu
Volker Tresp
FAtt
51
8
0
21 Oct 2019
Make Up Your Mind! Adversarial Generation of Inconsistent Natural
  Language Explanations
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations
Oana-Maria Camburu
Brendan Shillingford
Pasquale Minervini
Thomas Lukasiewicz
Phil Blunsom
AAMLGAN
109
97
0
07 Oct 2019
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
Oana-Maria Camburu
Eleonora Giunchiglia
Jakob N. Foerster
Thomas Lukasiewicz
Phil Blunsom
FAttAAML
115
61
0
04 Oct 2019
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Ruohan Zhang
F. Torabi
L. Guan
D. Ballard
Peter Stone
62
87
0
21 Sep 2019
Image Captioning with Very Scarce Supervised Data: Adversarial
  Semi-Supervised Learning Approach
Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach
Dong-Jin Kim
Jinsoo Choi
Tae-Hyun Oh
In So Kweon
SSLVLM
82
56
0
05 Sep 2019
Trends in Integration of Vision and Language Research: A Survey of
  Tasks, Datasets, and Methods
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods
Aditya Mogadala
M. Kalimuthu
Dietrich Klakow
VLM
141
136
0
22 Jul 2019
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