77 citations · 81 across the 4 of their papers we have counts for
4 papers
Debiased Pairwise Learning from Positive-Unlabeled Implicit Feedback
Bin Liu, Qin Luo, Bang Wang
Learning contrastive representations from pairwise comparisons has achieved remarkable success in various fields, such as natural language processing, computer vision, and informat…
Reducing Popularity Bias in Recommender Systems through AUC-Optimal Negative Sampling
Bin Liu, Erjia Chen, Bang Wang
Popularity bias is a persistent issue associated with recommendation systems, posing challenges to both fairness and efficiency. Existing literature widely acknowledges that reduci…
Prompt Learning for News Recommendation
Zizhuo Zhang, Bang Wang
Some recent \textit{news recommendation} (NR) methods introduce a Pre-trained Language Model (PLM) to encode news representation by following the vanilla pre-train and fine-tune pa…
Bayesian Self-Supervised Contrastive Learning
Bin Liu, Bang Wang, Tianrui Li
Recent years have witnessed many successful applications of contrastive learning in diverse domains, yet its self-supervised version still remains many exciting challenges. As the…