1 citations · 1 across the 4 of their papers we have counts for
4 papers
RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation
Xi Wu, Dan Zhang, Chao Zhou +3
Recommender systems (RecSys) have become essential in modern society, driving user engagement and satisfaction across diverse online platforms. Most RecSys focuses on designing a p…
GLIMMER: Incorporating Graph and Lexical Features in Unsupervised Multi-Document Summarization
Ran Liu, Ming Liu, Min Yu +6
Pre-trained language models are increasingly being used in multi-document summarization tasks. However, these models need large-scale corpora for pre-training and are domain-depend…
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
Yumeng Li, William Beluch, Margret Keuper +2
Despite tremendous progress in the field of text-to-video (T2V) synthesis, open-sourced T2V diffusion models struggle to generate longer videos with dynamically varying and evolvin…
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Yumeng Li, Margret Keuper, Dan Zhang +1
Despite the recent advances in large-scale diffusion models, little progress has been made on the layout-to-image (L2I) synthesis task. Current L2I models either suffer from poor e…