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  4. Cited By
Transparency by Design: Closing the Gap Between Performance and
  Interpretability in Visual Reasoning

Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning

14 March 2018
David Mascharka
Philip Tran
Ryan Soklaski
Arjun Majumdar
ArXivPDFHTML

Papers citing "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

50 / 105 papers shown
Title
Right for the Right Concept: Revising Neuro-Symbolic Concepts by
  Interacting with their Explanations
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations
Wolfgang Stammer
P. Schramowski
Kristian Kersting
FAtt
14
107
0
25 Nov 2020
Interpretable Visual Reasoning via Induced Symbolic Space
Interpretable Visual Reasoning via Induced Symbolic Space
Zhonghao Wang
Kai Wang
Mo Yu
Jinjun Xiong
Wen-mei W. Hwu
M. Hasegawa-Johnson
Humphrey Shi
LRM
OCL
16
19
0
23 Nov 2020
Deep Reinforcement Learning with Stacked Hierarchical Attention for
  Text-based Games
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
Yunqiu Xu
Meng Fang
Ling-Hao Chen
Yali Du
Qiufeng Wang
Chengqi Zhang
OffRL
25
44
0
22 Oct 2020
Graph-based Heuristic Search for Module Selection Procedure in Neural
  Module Network
Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network
Yuxuan Wu
Hideki Nakayama
GNN
25
3
0
30 Sep 2020
A Comprehensive Survey of Machine Learning Applied to Radar Signal
  Processing
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing
Ping Lang
Xiongjun Fu
M. Martorella
Jian Dong
Rui Qin
Xianpeng Meng
M. Xie
26
39
0
29 Sep 2020
CLEVR Parser: A Graph Parser Library for Geometric Learning on Language
  Grounded Image Scenes
CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes
Raeid Saqur
Ameet Deshpande
GNN
NAI
11
0
0
19 Sep 2020
SCOUTER: Slot Attention-based Classifier for Explainable Image
  Recognition
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition
Liangzhi Li
Bowen Wang
Manisha Verma
Yuta Nakashima
R. Kawasaki
Hajime Nagahara
OCL
23
49
0
14 Sep 2020
AiR: Attention with Reasoning Capability
AiR: Attention with Reasoning Capability
Shi Chen
Ming Jiang
Jinhui Yang
Qi Zhao
LRM
13
36
0
28 Jul 2020
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception,
  Grammar Parsing, and Symbolic Reasoning
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning
Qing Li
Siyuan Huang
Yining Hong
Yixin Chen
Ying Nian Wu
Song-Chun Zhu
NAI
36
81
0
11 Jun 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
AAML
XAI
43
371
0
30 Apr 2020
SHOP-VRB: A Visual Reasoning Benchmark for Object Perception
SHOP-VRB: A Visual Reasoning Benchmark for Object Perception
Michal Nazarczuk
K. Mikolajczyk
25
21
0
06 Apr 2020
Generating Rationales in Visual Question Answering
Generating Rationales in Visual Question Answering
Hammad A. Ayyubi
Md. Mehrab Tanjim
Julian McAuley
G. Cottrell
LRM
22
5
0
04 Apr 2020
Linguistically Driven Graph Capsule Network for Visual Question
  Reasoning
Linguistically Driven Graph Capsule Network for Visual Question Reasoning
Qingxing Cao
Xiaodan Liang
Keze Wang
Liang Lin
GNN
18
3
0
23 Mar 2020
Vulnerabilities of Connectionist AI Applications: Evaluation and Defence
Vulnerabilities of Connectionist AI Applications: Evaluation and Defence
Christian Berghoff
Matthias Neu
Arndt von Twickel
AAML
30
23
0
18 Mar 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
L. Arras
Ahmed Osman
Wojciech Samek
XAI
AAML
21
150
0
16 Mar 2020
Visual Concept-Metaconcept Learning
Visual Concept-Metaconcept Learning
Chi Han
Jiayuan Mao
Chuang Gan
J. Tenenbaum
Jiajun Wu
NAI
LRM
11
63
0
04 Feb 2020
CLOSURE: Assessing Systematic Generalization of CLEVR Models
CLOSURE: Assessing Systematic Generalization of CLEVR Models
Dzmitry Bahdanau
H. D. Vries
Timothy J. O'Donnell
Shikhar Murty
Philippe Beaudoin
Yoshua Bengio
Aaron Courville
NAI
13
90
0
12 Dec 2019
Transfer Learning in Visual and Relational Reasoning
Transfer Learning in Visual and Relational Reasoning
T. S. Jayram
Vincent Marois
Tomasz Kornuta
V. Albouy
Emre Sevgen
A. Ozcan
NAI
OOD
LRM
19
2
0
27 Nov 2019
Multimodal Intelligence: Representation Learning, Information Fusion,
  and Applications
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications
Chao Zhang
Zichao Yang
Xiaodong He
Li Deng
HAI
AI4TS
35
324
0
10 Nov 2019
Multi-modal Deep Analysis for Multimedia
Multi-modal Deep Analysis for Multimedia
Wenwu Zhu
Xin Wang
Hongzhi Li
29
38
0
11 Oct 2019
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
Kexin Yi
Yuta Saito
Yunzhu Li
Pushmeet Kohli
Jiajun Wu
Antonio Torralba
J. Tenenbaum
NAI
43
457
0
03 Oct 2019
Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable
  Visual Question Answering
Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering
Heather Riley
Mohan Sridharan
NAI
36
0
0
23 Sep 2019
Explainable High-order Visual Question Reasoning: A New Benchmark and
  Knowledge-routed Network
Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network
Qingxing Cao
Bailin Li
Xiaodan Liang
Liang Lin
33
13
0
23 Sep 2019
Graph Neural Networks for Image Understanding Based on Multiple Cues:
  Group Emotion Recognition and Event Recognition as Use Cases
Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases
Xin Guo
Luisa F. Polanía
Bin Zhu
C. Boncelet
Kenneth Barner
24
28
0
19 Sep 2019
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning
Yichen Jiang
Joey Tianyi Zhou
ReLM
LRM
11
72
0
12 Sep 2019
What is needed for simple spatial language capabilities in VQA?
What is needed for simple spatial language capabilities in VQA?
A. Kuhnle
Ann A. Copestake
CoGe
23
1
0
17 Aug 2019
Recognizing Part Attributes with Insufficient Data
Recognizing Part Attributes with Insufficient Data
Xiangyu Zhao
Yi Yang
Feng Zhou
Xiao Tan
Yuchen Yuan
Sid Ying-Ze Bao
Ying Nian Wu
17
20
0
09 Aug 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
25
132
0
22 Jul 2019
Learning by Abstraction: The Neural State Machine
Learning by Abstraction: The Neural State Machine
Drew A. Hudson
Christopher D. Manning
NAI
OCL
16
258
0
09 Jul 2019
Learning Dynamics of Attention: Human Prior for Interpretable Machine
  Reasoning
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning
Wonjae Kim
Yoonho Lee
16
6
0
28 May 2019
Structure Learning for Neural Module Networks
Structure Learning for Neural Module Networks
Vardaan Pahuja
Jie Fu
Sarath Chandar
C. Pal
15
7
0
27 May 2019
Neural Logic Machines
Neural Logic Machines
Honghua Dong
Jiayuan Mao
Tian Lin
Chong-Jun Wang
Lihong Li
Denny Zhou
NAI
LRM
AI4CE
30
248
0
26 Apr 2019
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and
  Sentences From Natural Supervision
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
Jiayuan Mao
Chuang Gan
Pushmeet Kohli
J. Tenenbaum
Jiajun Wu
NAI
16
686
0
26 Apr 2019
Question Guided Modular Routing Networks for Visual Question Answering
Question Guided Modular Routing Networks for Visual Question Answering
Yanze Wu
Qiang Sun
Jianqi Ma
Bin Li
Yanwei Fu
Yao Peng
Xiangyang Xue
23
1
0
17 Apr 2019
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
Chi Zhang
Feng Gao
Baoxiong Jia
Yixin Zhu
Song-Chun Zhu
AIMat
32
304
0
07 Mar 2019
Answer Them All! Toward Universal Visual Question Answering Models
Answer Them All! Toward Universal Visual Question Answering Models
Robik Shrestha
Kushal Kafle
Christopher Kanan
25
82
0
01 Mar 2019
MUREL: Multimodal Relational Reasoning for Visual Question Answering
MUREL: Multimodal Relational Reasoning for Visual Question Answering
Rémi Cadène
H. Ben-younes
Matthieu Cord
Nicolas Thome
LRM
19
271
0
25 Feb 2019
Probabilistic Neural-symbolic Models for Interpretable Visual Question
  Answering
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering
Ramakrishna Vedantam
Karan Desai
Stefan Lee
Marcus Rohrbach
Dhruv Batra
Devi Parikh
NAI
BDL
23
85
0
21 Feb 2019
Robust Change Captioning
Robust Change Captioning
Dong Huk Park
Trevor Darrell
Anna Rohrbach
30
5
0
08 Jan 2019
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
Runtao Liu
Chenxi Liu
Yutong Bai
Alan Yuille
NAI
ObjD
22
122
0
03 Jan 2019
Gold Seeker: Information Gain from Policy Distributions for
  Goal-oriented Vision-and-Langauge Reasoning
Gold Seeker: Information Gain from Policy Distributions for Goal-oriented Vision-and-Langauge Reasoning
Ehsan Abbasnejad
Iman Abbasnejad
Qi Wu
Javen Qinfeng Shi
Anton Van Den Hengel
OffRL
33
5
0
16 Dec 2018
Interaction Design for Explainable AI: Workshop Proceedings
Interaction Design for Explainable AI: Workshop Proceedings
Prashan Madumal
Ronal Singh
Joshua Newn
F. Vetere
13
1
0
13 Dec 2018
Explainable and Explicit Visual Reasoning over Scene Graphs
Explainable and Explicit Visual Reasoning over Scene Graphs
Jiaxin Shi
Hanwang Zhang
Juan-Zi Li
OCL
169
230
0
05 Dec 2018
Generating Diverse Programs with Instruction Conditioned Reinforced
  Adversarial Learning
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning
Aishwarya Agrawal
Mateusz Malinowski
Felix Hill
S. M. Ali Eslami
Oriol Vinyals
Tejas D. Kulkarni
21
4
0
03 Dec 2018
VQA with no questions-answers training
VQA with no questions-answers training
B. Vatashsky
S. Ullman
41
12
0
20 Nov 2018
On transfer learning using a MAC model variant
On transfer learning using a MAC model variant
Vincent Marois
T. S. Jayram
V. Albouy
Tomasz Kornuta
Younes Bouhadjar
A. Ozcan
DRL
26
9
0
15 Nov 2018
A Corpus for Reasoning About Natural Language Grounded in Photographs
A Corpus for Reasoning About Natural Language Grounded in Photographs
Alane Suhr
Stephanie Zhou
Ally Zhang
Iris Zhang
Huajun Bai
Yoav Artzi
LRM
42
589
0
01 Nov 2018
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language
  Understanding
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Kexin Yi
Jiajun Wu
Chuang Gan
Antonio Torralba
Pushmeet Kohli
J. Tenenbaum
NAI
46
599
0
04 Oct 2018
How clever is the FiLM model, and how clever can it be?
How clever is the FiLM model, and how clever can it be?
A. Kuhnle
Huiyuan Xie
Ann A. Copestake
30
6
0
09 Sep 2018
Cascaded Mutual Modulation for Visual Reasoning
Cascaded Mutual Modulation for Visual Reasoning
Yiqun Yao
Jiaming Xu
Feng Wang
Bo Xu
LRM
23
14
0
06 Sep 2018
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