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Found 3 papers, 1 papers with code
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
In the realm of Graph Neural Networks (GNNs), two exciting research directions have recently emerged: Subgraph GNNs and Graph Transformers.
Weakly-supervised Representation Learning for Video Alignment and Analysis
This paper introduces LRProp -- a novel weakly-supervised representation learning approach, with an emphasis on the application of temporal alignment between pairs of videos of the same action category.
TransBoost: Improving the Best ImageNet Performance using Deep Transduction
This paper deals with deep transductive learning, and proposes TransBoost as a procedure for fine-tuning any deep neural model to improve its performance on any (unlabeled) test set provided at training time.
Ranked #1 on
Image Classification
on SUN397
