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Found 6 papers, 1 papers with code
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification
Our paper introduces the EEG Graph Lottery Ticket (EEG_GLT) algorithm, an innovative technique for constructing adjacency matrices for EEG channels.
KnowAugNet: Multi-Source Medical Knowledge Augmented Medication Prediction Network with Multi-Level Graph Contrastive Learning
Specifically, KnowAugNet first leverages the graph contrastive learning using graph attention network as the encoder to capture the implicit relations between homogeneous medical codes from the medical ontology graph and obtains the knowledge augmented medical codes embedding vectors.
Generalization Bounds for (Wasserstein) Robust Optimization
(Distributionally) robust optimization has gained momentum in machine learning community recently, due to its promising applications in developing generalizable learning paradigms.
MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation
Second, we incorporate a novel interactive long-short term memory network (InLSTM) to reinforce the interactions of multilevel medical sequences in EHR data with the help of the calibrated memory-augmented cell and an enhanced input gate.
From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting
Uncertainty in future trajectories stems from two sources: (a) sources that are known to the agent but unknown to the model, such as long term goals and (b)sources that are unknown to both the agent & the model, such as intent of other agents & irreducible randomness indecisions.
Ranked #3 on
Trajectory Prediction
on ETH/UCY
Evaluation Metrics for Headline Generation Using Deep Pre-Trained Embeddings
With the explosive growth in textual data, it is becoming increasingly important to summarize text automatically.
