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OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning
A key aspect of human intelligence is the ability to imagine -- composing learned concepts in novel ways -- to make sense of new scenarios.
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer
Unsupervised image-to-image translation consists of learning a pair of mappings between two domains without known pairwise correspondences between points.
SPECTRA: Sparse Entity-centric Transitions
Learning an agent that interacts with objects is ubiquituous in many RL tasks.
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation
Generating novel molecules with optimal properties is a crucial step in many industries such as drug discovery.
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