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Found 8 papers, 2 papers with code
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability
Recent works show that learning attention in the Fourier space can improve the long sequence learning capability of Transformers.
The Spike Gating Flow: A Hierarchical Structure Based Spiking Neural Network for Online Gesture Recognition
At last, we conclude the few-shot learning paradigm of the developed network: 1) a hierarchical structure-based network design involves human prior knowledge; 2) SNNs for content based global dynamic feature detection.
Augmenting Proposals by the Detector Itself
Lacking enough high quality proposals for RoI box head has impeded two-stage and multi-stage object detectors for a long time, and many previous works try to solve it via improving RPN's performance or manually generating proposals from ground truth.
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering
Our method, TaxoGen, uses term embeddings and hierarchical clustering to construct a topic taxonomy in a recursive fashion.
Databases
Guess Me if You Can: Acronym Disambiguation for Enterprises
The framework takes the enterprise corpus as input and produces a high-quality acronym disambiguation system as output.
Identifying Semantically Deviating Outlier Documents
A document outlier is a document that substantially deviates in semantics from the majority ones in a corpus.
