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10/07/2021
A Broad Ensemble Learning System for Drifting Stream Classification
Data stream classification has become a major research topic due to the ...
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09/15/2021
On-the-Fly Ensemble Pruning in Evolving Data Streams
Ensemble pruning is the process of selecting a subset of componentclassi...
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09/13/2021
Cross-Market Product Recommendation
We study the problem of recommending relevant products to users in relat...
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09/10/2021
Query-driven Segment Selection for Ranking Long Documents
Transformer-based rankers have shown state-of-the-art performance. Howev...
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09/07/2021
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval
Pretrained contextualized representations offer great success for many d...
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06/17/2019
A Multi-Task Architecture on Relevance-based Neural Query Translation
We describe a multi-task learning approach to train a Neural Machine Tra...
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09/26/2018
