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06/09/2022
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning
What target labels are most effective for graph neural network (GNN) tra...
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10/23/2021
Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks
Federated learning enables many local devices to train a deep learning m...
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10/29/2020
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix
Estimating and storing the covariance (or correlation) matrix of high-di...
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10/21/2019
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier
Recent work suggests improving the performance of Bloom filter by incorp...
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07/22/2019
