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Neural Module Network (NMN) exhibits strong interpretability and compositionality thanks to its handcrafted neural modules with explicit multi-hop reasoning capability.
On learning how to learn learning strategies
Jürgen Schmidhuber · 1995
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning · 2014
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Vqa: Visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Learning to compose neural networks for question answering
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Dan Klein · 2016
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Neural module networks
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Dan Klein · 2016
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Hadamard product for low-rank bilinear pooling
Jin-Hwa Kim, Kyoung-Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, and Byoung-Tak Zhang · 2016
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Stacked attention networks for image question answering
Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, and Alex Smola · 2016
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Visual7w: Grounded question answering in images
Yuke Zhu, Oliver Groth, Michael Bernstein, and Li Fei-Fei · 2016
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Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
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Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Learning to reason: End-to-end module networks for visual question answering
Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Kate Saenko · 2017
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Clevr: A diagnostic dataset for compositional language and elementary visual reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C Lawrence Zitnick, and Ross Girshick · 2017
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Inferring and executing programs for visual reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C Lawrence Zitnick, and Ross Girshick · 2017
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Optimization as a model for few-shot learning
Sachin Ravi and Hugo Larochelle · 2017
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A simple neural network module for relational reasoning
Adam Santoro, David Raposo, David G Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, and Timothy Lillicrap · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Scene graph generation by iterative message passing
Danfei Xu, Yuke Zhu, Christopher B Choy, and Li Fei-Fei · 2017
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Multi-modal factorized bilinear pooling with co-attention learning for visual question answering
Zhou Yu, Jun Yu, Jianping Fan, and Dacheng Tao · 2017
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More than an answer: Neural pivot network for visual qestion answering
Yiyi Zhou, Rongrong Ji, Jinsong Su, Yongjian Wu, and Yunsheng Wu · 2017
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Structured attentions for visual question answering
Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, and Yi Ma · 2017
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Bottom-up and top-down attention for image captioning and visual question answering
Graph reasoning networks for visual question answering
Dalu Guo, Chang Xu, and Dacheng Tao · 2019
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Language-conditioned graph networks for relational reasoning
Ronghang Hu, Anna Rohrbach, Trevor Darrell, and Kate Saenko · 2019
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Gqa: A new dataset for real-world visual reasoning and compositional question answering
Drew A Hudson and Christopher D Manning · 2019
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Learning by abstraction: The neural state machine
Drew A Hudson and Christopher D Manning · 2019
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Perceptual visual reasoning with knowledge propagation
Guohao Li, Xin Wang, and Wenwu Zhu · 2019
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Relation-aware graph attention network for visual question answering
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Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang · 2018
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Coarse-to-fine decoding for neural semantic parsing
Li Dong and Mirella Lapata · 2018
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Explainable neural computation via stack neural module networks
Ronghang Hu, Jacob Andreas, Trevor Darrell, and Kate Saenko · 2018
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Compositional attention networks for machine reasoning
Drew A Hudson and Christopher D Manning · 2018
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Dvqa: Understanding data visualizations via question answering
Kushal Kafle, Brian Price, Scott Cohen, and Christopher Kanan · 2018
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Bilinear attention networks
Jin-Hwa Kim, Jaehyun Jun, and Byoung-Tak Zhang · 2018
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Improved fusion of visual and language representations by dense symmetric co-attention for visual question answering
Duy-Kien Nguyen and Takayuki Okatani · 2018
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Linjie Li, Zhe Gan, Yu Cheng, and Jingjing Liu · 2019
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Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks
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The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision
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Vl-bert: Pre-training of generic visual-linguistic representations
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A corpus for reasoning about natural language grounded in photographs
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Probabilistic neural-symbolic models for interpretable visual question answering
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Deep reason: A strong baseline for real-world visual reasoning
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Deep modular co-attention networks for visual question answering
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From recognition to cognition: Visual commonsense reasoning
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Large-scale adversarial training for vision-and-language representation learning
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