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Found 3 papers, 3 papers with code
Flowformer: Linearizing Transformers with Conservation Flows
By respectively conserving the incoming flow of sinks for source competition and the outgoing flow of sources for sink allocation, Flow-Attention inherently generates informative attentions without using specific inductive biases.
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Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Unsupervised detection of anomaly points in time series is a challenging problem, which requires the model to derive a distinguishable criterion.
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Going beyond Transformers, we design Autoformer as a novel decomposition architecture with an Auto-Correlation mechanism.
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