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02/18/2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Graph neural networks (GNNs) have received much attention recently becau...
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01/31/2020
Convolutional Embedding for Edit Distance
Edit-distance-based string similarity search has many applications such ...
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01/31/2020
Edit Distance Embedding using Convolutional Neural Networks
Edit-distance-based string similarity search has many applications such ...
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11/12/2019
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning
The high cost of communicating gradients is a major bottleneck for feder...
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11/12/2019
Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search
Vector quantization (VQ) techniques are widely used in similarity search...
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09/30/2019
Understanding and Improving Proximity Graph based Maximum Inner Product Search
The inner-product navigable small world graph (ip-NSW) represents the st...
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10/22/2018
Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS)
Recently, locality sensitive hashing (LSH) was shown to be effective for...
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09/24/2018
