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Found 3 papers, 2 papers with code
Deep Mixture of Experts via Shallow Embedding
Larger networks generally have greater representational power at the cost of increased computational complexity.
Disentangling Propagation and Generation for Video Prediction
A dynamic scene has two types of elements: those that move fluidly and can be predicted from previous frames, and those which are disoccluded (exposed) and cannot be extrapolated.
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
We show that TAFE-Net is highly effective in generalizing to new tasks or concepts and evaluate the TAFE-Net on a range of benchmarks in zero-shot and few-shot learning.
Ranked #1 on
Few-Shot Image Classification
on aPY - 0-Shot
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