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08/27/2023
Label Denoising through Cross-Model Agreement
Learning from corrupted labels is very common in real-world machine-lear...
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05/09/2023
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment
Recommender systems that learn from implicit feedback often use large vo...
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05/20/2021
Probabilistic and Variational Recommendation Denoising
Learning from implicit feedback is one of the most common cases in the a...
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09/29/2020
One Person, One Model, One World: Learning Continual User Representation without Forgetting
Learning generic user representations which can then be applied to other...
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04/29/2019