Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Xu, Hongteng"'
Asynchronous event sequence clustering aims to group similar event sequences in an unsupervised manner. Mixture models of temporal point processes have been proposed to solve this problem, but they often suffer from overfitting, leading to excessive
Externí odkaz:
http://arxiv.org/abs/2411.04397
Autor:
Yuan, Shen, Xu, Hongteng
Transformer plays a central role in many fundamental deep learning models, e.g., the ViT in computer vision and the BERT and GPT in natural language processing, whose effectiveness is mainly attributed to its multi-head attention (MHA) mechanism. In
Externí odkaz:
http://arxiv.org/abs/2410.10914
Predicting ground-state conformation from the corresponding molecular graph is crucial for many chemical applications, such as molecular modeling, molecular docking, and molecular property prediction. Recently, many learning-based methods have been p
Externí odkaz:
http://arxiv.org/abs/2410.09795
Trailer generation is a challenging video clipping task that aims to select highlighting shots from long videos like movies and re-organize them in an attractive way. In this study, we propose an inverse partial optimal transport (IPOT) framework to
Externí odkaz:
http://arxiv.org/abs/2407.19456
Polymers are high-molecular-weight compounds constructed by the covalent bonding of numerous identical or similar monomers so that their 3D structures are complex yet exhibit unignorable regularity. Typically, the properties of a polymer, such as pla
Externí odkaz:
http://arxiv.org/abs/2406.04727
While following different technical routes, both low-rank and orthogonal adaptation techniques can efficiently adapt large-scale pre-training models in specific tasks or domains based on a small piece of trainable parameters. In this study, we bridge
Externí odkaz:
http://arxiv.org/abs/2405.17484
As a promising individualized treatment effect (ITE) estimation method, counterfactual regression (CFR) maps individuals' covariates to a latent space and predicts their counterfactual outcomes. However, the selection bias between control and treatme
Externí odkaz:
http://arxiv.org/abs/2405.15505
As a significant step for human face modeling, editing, and generation, face landmarking aims at extracting facial keypoints from images. A generalizable face landmarker is required in practice because real-world facial images, e.g., the avatars in a
Externí odkaz:
http://arxiv.org/abs/2404.12322
Incorporating Search and Recommendation (S&R) services within a singular application is prevalent in online platforms, leading to a new task termed open-app motivation prediction, which aims to predict whether users initiate the application with the
Externí odkaz:
http://arxiv.org/abs/2404.03267
Autor:
Han, Jiaqi, Cen, Jiacheng, Wu, Liming, Li, Zongzhao, Kong, Xiangzhe, Jiao, Rui, Yu, Ziyang, Xu, Tingyang, Wu, Fandi, Wang, Zihe, Xu, Hongteng, Wei, Zhewei, Liu, Yang, Rong, Yu, Huang, Wenbing
Geometric graph is a special kind of graph with geometric features, which is vital to model many scientific problems. Unlike generic graphs, geometric graphs often exhibit physical symmetries of translations, rotations, and reflections, making them i
Externí odkaz:
http://arxiv.org/abs/2403.00485