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Discrete Conditional Diffusion for Reranking in Recommendation
To overcome these challenges, we propose a novel Discrete Conditional Diffusion Reranking (DCDR) framework for recommendation.
Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation
An accurate prediction of watch time has been of vital importance to enhance user engagement in video recommender systems.
Boosting Share Routing for Multi-task Learning
How to make the knowledge of multiple tasks shared appropriately is an open problem for MTL.
Not All Words are Equal: Video-specific Information Loss for Video Captioning
To address this issue, we propose a novel learning strategy called Information Loss, which focuses on the relationship between the video-specific visual content and corresponding representative words.
DenseImage Network: Video Spatial-Temporal Evolution Encoding and Understanding
1) A novel compact representation of video which distills its significant spatial-temporal evolution into a matrix called DenseImage, primed for efficient video encoding.
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