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08/18/2023
PUMGPT: A Large Vision-Language Model for Product Understanding
Recent developments of multi-modal large language models have demonstrat...
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05/19/2023
Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees
Projection-free online learning has drawn increasing interest due to its...
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10/06/2022
Distilling Task-specific Logical Rules from Large Pre-trained Models
Logical rules, both transferable and explainable, are widely used as wea...
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07/28/2021
Shape Controllable Virtual Try-on for Underwear Models
Image virtual try-on task has abundant applications and has become a hot...
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05/18/2021
Path-based Deep Network for Candidate Item Matching in Recommenders
The large-scale recommender system mainly consists of two stages: matchi...
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04/19/2021
Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training
The pre-trained neural models have recently achieved impressive performa...
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12/24/2020
A Hybrid Bandit Framework for Diversified Recommendation
The interactive recommender systems involve users in the recommendation ...
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10/23/2020
A Pre-training Strategy for Recommendation
The side information of items has been shown to be effective in building...
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11/26/2019
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers
Lip reading has witnessed unparalleled development in recent years thank...
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05/16/2019
Recent Advances in Diversified Recommendation
With the rapid development of recommender systems, accuracy is no longer...
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02/24/2019