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1807.11546
Cited By
Textual Explanations for Self-Driving Vehicles
30 July 2018
Jinkyu Kim
Anna Rohrbach
Trevor Darrell
John F. Canny
Zeynep Akata
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Papers citing
"Textual Explanations for Self-Driving Vehicles"
50 / 107 papers shown
Title
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
Sarah Wiegreffe
Jack Hessel
Swabha Swayamdipta
Mark O. Riedl
Yejin Choi
77
149
0
16 Dec 2021
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
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
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MA
VLM
AI4CE
195
1,094
0
01 Nov 2021
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
Bodhisattwa Prasad Majumder
Oana-Maria Camburu
Thomas Lukasiewicz
Julian McAuley
98
36
0
25 Jun 2021
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
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
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
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
Yanbei Chen
Thomas Hummel
A. Sophia Koepke
Zeynep Akata
50
3
0
04 May 2021
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
Daniel Omeiza
Helena Webb
Marina Jirotka
Lars Kunze
97
223
0
09 Mar 2021
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
Sarah Wiegreffe
Ana Marasović
XAI
93
146
0
24 Feb 2021
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
Xinyan Zhao
V. Vydiswaran
LRM
115
40
0
16 Dec 2020
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
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
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
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
Tirumalapudi Raviteja
I. S. R. Vedaraj
SSeg
119
2
0
26 Oct 2020
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
Ana Marasović
Chandra Bhagavatula
J. S. Park
Ronan Le Bras
Noah A. Smith
Yejin Choi
ReLM
LRM
99
62
0
15 Oct 2020
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
Oana-Maria Camburu
XAI
FAtt
108
26
0
04 Oct 2020
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
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
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
Yuan-Chung Shen
Shanduojiao Jiang
Yanlin Chen
Katie Driggs Campbell
82
42
0
21 Jun 2020
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
Sawan Kumar
Partha P. Talukdar
XAI
LRM
119
163
0
25 May 2020
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
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAML
XAI
118
380
0
30 Apr 2020
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
Shoaib Ahmed Siddiqui
Dominique Mercier
Andreas Dengel
Sheraz Ahmed
FAtt
AI4TS
48
12
0
06 Apr 2020
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
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
Zhiyuan Fang
Tejas Gokhale
Pratyay Banerjee
Chitta Baral
Yezhou Yang
78
63
0
11 Mar 2020
Explaining with Counter Visual Attributes and Examples
Sadaf Gulshad
A. Smeulders
XAI
FAtt
AAML
75
15
0
27 Jan 2020
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
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
Jingxiang Lin
Unnat Jain
Alex Schwing
LRM
ReLM
102
9
0
31 Oct 2019
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
Oana-Maria Camburu
Brendan Shillingford
Pasquale Minervini
Thomas Lukasiewicz
Phil Blunsom
AAML
GAN
109
97
0
07 Oct 2019
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
Oana-Maria Camburu
Eleonora Giunchiglia
Jakob N. Foerster
Thomas Lukasiewicz
Phil Blunsom
FAtt
AAML
115
61
0
04 Oct 2019
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
Dong-Jin Kim
Jinsoo Choi
Tae-Hyun Oh
In So Kweon
SSL
VLM
82
56
0
05 Sep 2019
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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