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05/08/2023
Retriever and Ranker Framework with Probabilistic Hard Negative Sampling for Code Search
Pretrained Language Models (PLMs) have emerged as the state-of-the-art p...
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05/10/2021
AutoDebias: Learning to Debias for Recommendation
Recommender systems rely on user behavior data like ratings and clicks t...
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10/23/2020
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
The original design of Graph Convolution Network (GCN) couples feature t...
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10/07/2020
Bias and Debias in Recommender System: A Survey and Future Directions
While recent years have witnessed a rapid growth of research papers on r...
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06/23/2020
