A curated list of Causal-Reasoning resources. Inspired by awesome-meta-learning, awesome-adversarial-machine-learning, awesome-deep-learning-papers, and awesome-architecture-search.
Please feel free to pull requests or open an issue to add papers.
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Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations. Xander Steenbrugge, Sam Leroux, Tim Verbelen, Bart Dhoedt.
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SARN: Relational Reasoning through Sequential Attention. Jinwon An, Sungwon Lyu, Sungzoon Cho.
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Multi-layer Relation Networks. Marius Jahrens, Thomas Martinetz.
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Compositional Attention Networks for Machine Reasoning. Drew A. Hudson, Christopher D. Manning. ICLR 2018.
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Dilated DenseNets for Relational Reasoning. Antreas Antoniou, Agnieszka Słowik, Elliot J. Crowley, Amos Storkey.
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A simple neural network module for relational reasoning. Adam Santoro, David Raposo, David G.T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, Timothy Lillicrap.
- Adam Santoro. DeepMind.