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Few-shotImageGenerationwith ElasticWeightConsolidation
Neural Information Processing Systems
We demonstrate the effectiveness of our algorithm by generating high-quality results of different target domains, including those with extremely few examples (e.g., 10).
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7721f1fea280e9ffae528dc78c732576-Paper-Conference.pdf
Neural Information Processing Systems
Thus,hypergraph-guided embedding can capture functional relations in learned representations.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Undirected Networks > Markov Models (0.47)
ARanking-based,BalancedLossFunction Unifying ClassificationandLocalisationinObjectDetection
Neural Information Processing Systems
Our contributions are: (1) We develop a generalized framework to optimize non-differentiable ranking-based functions byextending theerror-drivenoptimization ofAPLoss.(2)Weprovethat
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