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Compositional Attention Networks for Machine Reasoning
v1v2 (latest)

Compositional Attention Networks for Machine Reasoning

8 March 2018
Drew A. Hudson
Christopher D. Manning
    BDLOODLRM
ArXiv (abs)PDFHTML

Papers citing "Compositional Attention Networks for Machine Reasoning"

50 / 330 papers shown
Compositional Generalization via Neural-Symbolic Stack Machines
Compositional Generalization via Neural-Symbolic Stack Machines
Xinyun Chen
Chen Liang
Adams Wei Yu
Basel Alomair
Denny Zhou
BDL
305
105
0
15 Aug 2020
A Neural-Symbolic Framework for Mental Simulation
A Neural-Symbolic Framework for Mental Simulation
Michael D Kissner
114
0
0
05 Aug 2020
On Feature Relevance Uncertainty: A Monte Carlo Dropout Sampling
  Approach
On Feature Relevance Uncertainty: A Monte Carlo Dropout Sampling Approach
Kai Fabi
Jonas Schneider
BDL
188
5
0
04 Aug 2020
AiR: Attention with Reasoning Capability
AiR: Attention with Reasoning CapabilityEuropean Conference on Computer Vision (ECCV), 2020
Shi Chen
Ming Jiang
Jinhui Yang
Qi Zhao
LRM
150
44
0
28 Jul 2020
Decomposing Generation Networks with Structure Prediction for Recipe
  Generation
Decomposing Generation Networks with Structure Prediction for Recipe GenerationPattern Recognition (Pattern Recognit.), 2020
Hao Wang
Guosheng Lin
Guosheng Lin
Chunyan Miao
141
3
0
27 Jul 2020
REXUP: I REason, I EXtract, I UPdate with Structured Compositional
  Reasoning for Visual Question Answering
REXUP: I REason, I EXtract, I UPdate with Structured Compositional Reasoning for Visual Question AnsweringInternational Conference on Neural Information Processing (ICONIP), 2020
Siwen Luo
S. Han
Kaiyuan Sun
Josiah Poon
CoGeLRMReLM
180
4
0
27 Jul 2020
Analogical Reasoning for Visually Grounded Language Acquisition
Analogical Reasoning for Visually Grounded Language Acquisition
Bo Wu
Haoyu Qin
Alireza Zareian
Carl Vondrick
Shih-Fu Chang
133
10
0
22 Jul 2020
The Scattering Compositional Learner: Discovering Objects, Attributes,
  Relationships in Analogical Reasoning
The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning
Yuhuai Wu
Honghua Dong
Roger C. Grosse
Jimmy Ba
CoGe
212
74
0
08 Jul 2020
A Competence-aware Curriculum for Visual Concepts Learning via Question
  Answering
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering
Qing Li
Siyuan Huang
Yining Hong
Song-Chun Zhu
311
33
0
03 Jul 2020
Latent Compositional Representations Improve Systematic Generalization
  in Grounded Question Answering
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering
Ben Bogin
Sanjay Subramanian
Matt Gardner
Jonathan Berant
ReLMOODBDLLRM
246
28
0
01 Jul 2020
Crossmodal Language Grounding in an Embodied Neurocognitive Model
Crossmodal Language Grounding in an Embodied Neurocognitive ModelFrontiers in Neurorobotics (FN), 2020
Stefan Heinrich
Yuan Yao
Tobias Hinz
Zhiyuan Liu
Thomas Hummel
Matthias Kerzel
C. Weber
S. Wermter
LM&Ro
169
19
0
24 Jun 2020
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Saeed Amizadeh
Hamid Palangi
Oleksandr Polozov
Yichen Huang
K. Koishida
NAILRM
328
70
0
20 Jun 2020
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Duo Wang
M. Jamnik
Pietro Lio
151
73
0
19 Jun 2020
A Study of Compositional Generalization in Neural Models
A Study of Compositional Generalization in Neural Models
Tim Klinger
D. Adjodah
Vincent Marois
Joshua Joseph
Matthew D Riemer
Alex Pentland
Murray Campbell
CoGeNAI
436
14
0
16 Jun 2020
Large-Scale Adversarial Training for Vision-and-Language Representation
  Learning
Large-Scale Adversarial Training for Vision-and-Language Representation LearningNeural Information Processing Systems (NeurIPS), 2020
Zhe Gan
Yen-Chun Chen
Linjie Li
Chen Zhu
Yu Cheng
Jingjing Liu
ObjDVLM
353
537
0
11 Jun 2020
Cross-Modality Relevance for Reasoning on Language and Vision
Cross-Modality Relevance for Reasoning on Language and Vision
Chen Zheng
Quan Guo
Parisa Kordjamshidi
LRM
134
37
0
12 May 2020
Probing Linguistic Systematicity
Probing Linguistic Systematicity
Emily Goodwin
Koustuv Sinha
Timothy J. O'Donnell
333
60
0
08 May 2020
Visual Question Answering with Prior Class Semantics
Visual Question Answering with Prior Class Semantics
Violetta Shevchenko
Damien Teney
A. Dick
Anton Van Den Hengel
BDL
141
7
0
04 May 2020
Robust Question Answering Through Sub-part Alignment
Robust Question Answering Through Sub-part AlignmentNorth American Chapter of the Association for Computational Linguistics (NAACL), 2020
Jifan Chen
Greg Durrett
OOD
230
14
0
30 Apr 2020
Dynamic Language Binding in Relational Visual Reasoning
Dynamic Language Binding in Relational Visual ReasoningInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
T. Le
Vuong Le
Svetha Venkatesh
T. Tran
NAI
163
19
0
30 Apr 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Explainable Deep Learning: A Field Guide for the UninitiatedJournal of Artificial Intelligence Research (JAIR), 2020
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAMLXAI
433
417
0
30 Apr 2020
Semantics-Aware Inferential Network for Natural Language Understanding
Semantics-Aware Inferential Network for Natural Language UnderstandingAAAI Conference on Artificial Intelligence (AAAI), 2020
Shuailiang Zhang
Hai Zhao
Junru Zhou
LRM
192
4
0
28 Apr 2020
Differentiable Adaptive Computation Time for Visual Reasoning
Differentiable Adaptive Computation Time for Visual ReasoningComputer Vision and Pattern Recognition (CVPR), 2020
Cristobal Eyzaguirre
Á. Soto
200
19
0
27 Apr 2020
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond
Duy-Kien Nguyen
Vedanuj Goswami
Xinlei Chen
222
23
0
24 Apr 2020
Local-Global Video-Text Interactions for Temporal Grounding
Local-Global Video-Text Interactions for Temporal GroundingComputer Vision and Pattern Recognition (CVPR), 2020
Jonghwan Mun
Minsu Cho
Bohyung Han
217
320
0
16 Apr 2020
SHOP-VRB: A Visual Reasoning Benchmark for Object Perception
SHOP-VRB: A Visual Reasoning Benchmark for Object PerceptionIEEE International Conference on Robotics and Automation (ICRA), 2020
Michal Nazarczuk
K. Mikolajczyk
155
24
0
06 Apr 2020
Iterative Context-Aware Graph Inference for Visual Dialog
Iterative Context-Aware Graph Inference for Visual DialogComputer Vision and Pattern Recognition (CVPR), 2020
Dan Guo
Haibo Wang
Hanwang Zhang
Zhengjun Zha
Meng Wang
212
52
0
05 Apr 2020
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene
  Text
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene TextComputer Vision and Pattern Recognition (CVPR), 2020
Difei Gao
Ke Li
Ruiping Wang
Shiguang Shan
Xilin Chen
208
125
0
31 Mar 2020
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference
VIOLIN: A Large-Scale Dataset for Video-and-Language InferenceComputer Vision and Pattern Recognition (CVPR), 2020
J. Liu
Wenhu Chen
Yu Cheng
Zhe Gan
Licheng Yu
Yiming Yang
Jingjing Liu
MLLMVGen
270
75
0
25 Mar 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
281
3
0
23 Mar 2020
Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual
  Grounding
Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual Grounding
Thierry Deruyttere
Guillem Collell
Marie-Francine Moens
LRM
238
8
0
19 Mar 2020
Unshuffling Data for Improved Generalization
Unshuffling Data for Improved GeneralizationIEEE International Conference on Computer Vision (ICCV), 2020
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
OOD
248
82
0
27 Feb 2020
Visual Concept-Metaconcept Learning
Visual Concept-Metaconcept LearningNeural Information Processing Systems (NeurIPS), 2020
Chi Han
Jiayuan Mao
Chuang Gan
J. Tenenbaum
Jiajun Wu
NAILRM
172
70
0
04 Feb 2020
SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions
SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions
Ramprasaath R. Selvaraju
Purva Tendulkar
Devi Parikh
Eric Horvitz
Marco Tulio Ribeiro
Besmira Nushi
Ece Kamar
LRM
160
14
0
20 Jan 2020
Measuring Compositional Generalization: A Comprehensive Method on
  Realistic Data
Measuring Compositional Generalization: A Comprehensive Method on Realistic DataInternational Conference on Learning Representations (ICLR), 2019
Daniel Keysers
Nathanael Scharli
Nathan Scales
Hylke Buisman
Daniel Furrer
...
Tibor Tihon
Dmitry Tsarkov
Tianlin Li
Marc van Zee
Olivier Bousquet
CoGe
265
382
0
20 Dec 2019
Smart Home Appliances: Chat with Your Fridge
Smart Home Appliances: Chat with Your Fridge
Denis A. Gudovskiy
Gyuri Han
Takuya Yamaguchi
Sotaro Tsukizawa
LRM
74
4
0
19 Dec 2019
DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog
DMRM: A Dual-channel Multi-hop Reasoning Model for Visual DialogAAAI Conference on Artificial Intelligence (AAAI), 2019
Feilong Chen
Fandong Meng
Jiaming Xu
Peng Li
Bo Xu
Jie Zhou
176
34
0
18 Dec 2019
Differentiable programming and its applications to dynamical systems
Differentiable programming and its applications to dynamical systems
A. Hernández
José M. Amigó
186
11
0
17 Dec 2019
Towards Causal VQA: Revealing and Reducing Spurious Correlations by
  Invariant and Covariant Semantic Editing
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic EditingComputer Vision and Pattern Recognition (CVPR), 2019
Vedika Agarwal
Rakshith Shetty
Mario Fritz
CMLAAML
453
176
0
16 Dec 2019
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
193
95
0
12 Dec 2019
Weak Supervision helps Emergence of Word-Object Alignment and improves
  Vision-Language Tasks
Weak Supervision helps Emergence of Word-Object Alignment and improves Vision-Language TasksEuropean Conference on Artificial Intelligence (ECAI), 2019
Corentin Kervadec
G. Antipov
M. Baccouche
Christian Wolf
180
15
0
06 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
NAIOODLRM
206
3
0
27 Nov 2019
Temporal Reasoning via Audio Question Answering
Temporal Reasoning via Audio Question AnsweringIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2019
Haytham M. Fayek
Justin Johnson
168
61
0
21 Nov 2019
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks
ChartNet: Visual Reasoning over Statistical Charts using MAC-NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2019
Monika Sharma
Shikha Gupta
Arindam Chowdhury
Lovekesh Vig
107
9
0
21 Nov 2019
Attention on Abstract Visual Reasoning
Attention on Abstract Visual Reasoning
Lukas Hahne
Timo Lüddecke
Florentin Wörgötter
David Kappel
GNN
143
23
0
14 Nov 2019
Multimodal Intelligence: Representation Learning, Information Fusion,
  and Applications
Multimodal Intelligence: Representation Learning, Information Fusion, and ApplicationsIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2019
Chao Zhang
Zichao Yang
Xiaodong He
Li Deng
HAIAI4TS
319
401
0
10 Nov 2019
Relation Module for Non-answerable Prediction on Question Answering
Relation Module for Non-answerable Prediction on Question AnsweringConference on Computational Natural Language Learning (CoNLL), 2019
Kevin Huang
Yun Tang
Jing-ling Huang
Xiaodong He
Bowen Zhou
158
6
0
23 Oct 2019
HIGhER : Improving instruction following with Hindsight Generation for
  Experience Replay
HIGhER : Improving instruction following with Hindsight Generation for Experience Replay
Geoffrey Cideron
Mathieu Seurin
Florian Strub
Olivier Pietquin
220
37
0
21 Oct 2019
PyTorchPipe: a framework for rapid prototyping of pipelines combining
  language and vision
PyTorchPipe: a framework for rapid prototyping of pipelines combining language and vision
Tomasz Kornuta
127
3
0
18 Oct 2019
Why can't memory networks read effectively?
Why can't memory networks read effectively?
Simon Suster
Madhumita Sushil
Walter Daelemans
GNN
103
0
0
16 Oct 2019
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