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09/21/2023
How Robust is Google's Bard to Adversarial Image Attacks?
Multimodal Large Language Models (MLLMs) that integrate text and other m...
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08/13/2023
CDR: Conservative Doubly Robust Learning for Debiased Recommendation
In recommendation systems (RS), user behavior data is observational rath...
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06/15/2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions
Clustering is a fundamental machine learning task which has been widely ...
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05/09/2022
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality
Text to speech (TTS) has made rapid progress in both academia and indust...
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02/22/2022
KuaiRec: A Fully-observed Dataset for Recommender Systems
Recommender systems are usually developed and evaluated on the historica...
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01/07/2022
On the Effectiveness of Sampled Softmax Loss for Item Recommendation
Learning objectives of recommender models remain largely unexplored. Mos...
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06/05/2019
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images
Deep learning models, such as the fully convolutional network (FCN), hav...
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01/31/2019
