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Compositional Attention Networks for Machine Reasoning

Compositional Attention Networks for Machine Reasoning

8 March 2018
Drew A. Hudson
Christopher D. Manning
    BDL
    OOD
    LRM
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Papers citing "Compositional Attention Networks for Machine Reasoning"

31 / 81 papers shown
Title
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
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
22
66
0
08 Jul 2020
Large-Scale Adversarial Training for Vision-and-Language Representation
  Learning
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
Zhe Gan
Yen-Chun Chen
Linjie Li
Chen Zhu
Yu Cheng
Jingjing Liu
ObjD
VLM
24
487
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
32
36
0
12 May 2020
Dynamic Language Binding in Relational Visual Reasoning
Dynamic Language Binding in Relational Visual Reasoning
T. Le
Vuong Le
Svetha Venkatesh
T. Tran
NAI
18
19
0
30 Apr 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
29
370
0
30 Apr 2020
Local-Global Video-Text Interactions for Temporal Grounding
Local-Global Video-Text Interactions for Temporal Grounding
Jonghwan Mun
Minsu Cho
Bohyung Han
17
267
0
16 Apr 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
6
8
0
19 Mar 2020
Measuring Compositional Generalization: A Comprehensive Method on
  Realistic Data
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Daniel Keysers
Nathanael Scharli
Nathan Scales
Hylke Buisman
Daniel Furrer
...
Tibor Tihon
Dmitry Tsarkov
Xiao Wang
Marc van Zee
Olivier Bousquet
CoGe
21
347
0
20 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 Editing
Vedika Agarwal
Rakshith Shetty
Mario Fritz
CML
AAML
19
155
0
16 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 Tasks
Corentin Kervadec
G. Antipov
M. Baccouche
Christian Wolf
19
14
0
06 Dec 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
29
294
0
06 Oct 2019
Talk2Car: Taking Control of Your Self-Driving Car
Talk2Car: Taking Control of Your Self-Driving Car
Thierry Deruyttere
Simon Vandenhende
Dusan Grujicic
Luc Van Gool
Marie-Francine Moens
LM&Ro
15
124
0
24 Sep 2019
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
Bill Yuchen Lin
Xinyue Chen
Jamin Chen
Xiang Ren
13
459
0
04 Sep 2019
TabNet: Attentive Interpretable Tabular Learning
TabNet: Attentive Interpretable Tabular Learning
Sercan Ö. Arik
Tomas Pfister
LMTD
8
2
0
20 Aug 2019
Fusion of Detected Objects in Text for Visual Question Answering
Fusion of Detected Objects in Text for Visual Question Answering
Chris Alberti
Jeffrey Ling
Michael Collins
David Reitter
6
173
0
14 Aug 2019
Transcoding compositionally: using attention to find more generalizable
  solutions
Transcoding compositionally: using attention to find more generalizable solutions
K. Korrel
Dieuwke Hupkes
Verna Dankers
Elia Bruni
14
31
0
04 Jun 2019
Compositional generalization in a deep seq2seq model by separating
  syntax and semantics
Compositional generalization in a deep seq2seq model by separating syntax and semantics
Jacob Russin
Jason Jo
R. C. O'Reilly
Yoshua Bengio
19
102
0
22 Apr 2019
Recent Advances in Natural Language Inference: A Survey of Benchmarks,
  Resources, and Approaches
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches
Shane Storks
Qiaozi Gao
J. Chai
13
128
0
02 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
14
303
0
07 Mar 2019
Learning To Follow Directions in Street View
Learning To Follow Directions in Street View
Karl Moritz Hermann
Mateusz Malinowski
Piotr Wojciech Mirowski
Andras Banki-Horvath
Keith Anderson
R. Hadsell
SSL
16
66
0
01 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
17
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
16
271
0
25 Feb 2019
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
Zhe Gan
Yu Cheng
Ahmed El Kholy
Linjie Li
Jingjing Liu
Jianfeng Gao
6
104
0
01 Feb 2019
Visual Entailment: A Novel Task for Fine-Grained Image Understanding
Visual Entailment: A Novel Task for Fine-Grained Image Understanding
Ning Xie
Farley Lai
Derek Doran
Asim Kadav
CoGe
31
321
0
20 Jan 2019
Explainable and Explicit Visual Reasoning over Scene Graphs
Explainable and Explicit Visual Reasoning over Scene Graphs
Jiaxin Shi
Hanwang Zhang
Juan-Zi Li
OCL
155
230
0
05 Dec 2018
Response Characterization for Auditing Cell Dynamics in Long Short-term
  Memory Networks
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks
Ramin M. Hasani
Alexander Amini
Mathias Lechner
Felix Naser
Radu Grosu
Daniela Rus
18
25
0
11 Sep 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
16
6
0
09 Sep 2018
Interpretable Visual Question Answering by Reasoning on Dependency Trees
Interpretable Visual Question Answering by Reasoning on Dependency Trees
Qingxing Cao
Bailin Li
Xiaodan Liang
Liang Lin
20
55
0
06 Sep 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
54
3,076
0
04 Jun 2018
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
David Mascharka
Philip Tran
Ryan Soklaski
Arjun Majumdar
25
207
0
14 Mar 2018
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