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04/01/2022
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings
Vector quantization (VQ) based ANN indexes, such as Inverted File System...
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02/13/2022
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search
Embedding based retrieval (EBR) is a fundamental building block in many ...
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01/14/2022
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval
Ad-hoc search calls for the selection of appropriate answers from a mass...
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03/17/2021
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
The predictive learning of spatiotemporal sequences aims to generate fut...
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12/04/2020
Towards Good Practices of U-Net for Traffic Forecasting
This technical report presents a solution for the 2020 Traffic4Cast Chal...
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01/30/2019
Learning Fast Matching Models from Weak Annotations
This paper proposes a novel training scheme for fast matching models in ...
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11/19/2018
