2 citations · 2 across the 4 of their papers we have counts for
4 papers
TurboGR: An Accelerated Training System for Large-Scale Generative Recommendation
Huichao Chai, Zhixin Wu, Xuemiao Li +8
Generative recommendation (GR) has emerged as a promising paradigm that replaces fragmented, scenario-specific architectures with unified Transformer-based models, exhibiting scali…
Collapse of Patches: Ranking Image Patches for Efficient Visual Modeling
Wei Guo, Shunqi Mao, Zhuonan Liang +3
Observing certain patches in an image reduces the uncertainty of others. Their realization lowers the distribution entropy of each remaining patch feature, analogous to collapsing…
Gotta Hear Them All: Towards Sound Source Aware Audio Generation
Wei Guo, Heng Wang, Jianbo Ma +1
Audio synthesis has broad applications in multimedia. Recent advancements have made it possible to generate relevant audios from inputs describing an audio scene, such as images or…
Dataset Condensation via Generative Model
David Junhao Zhang, Heng Wang, Chuhui Xue +4
Dataset condensation aims to condense a large dataset with a lot of training samples into a small set. Previous methods usually condense the dataset into the pixels format. However…