Summary of Generative-enhanced Heterogeneous Graph Contrastive Learning, by Yu Wang et al.
Generative-Enhanced Heterogeneous Graph Contrastive Learningby Yu Wang, Lei Sang, Yi Zhang, Yiwen ZhangFirst submitted to…
Generative-Enhanced Heterogeneous Graph Contrastive Learningby Yu Wang, Lei Sang, Yi Zhang, Yiwen ZhangFirst submitted to…
Semantic Augmentation in Images using Languageby Sahiti Yerramilli, Jayant Sravan Tamarapalli, Tanmay Girish Kulkarni, Jonathan…
Deep Neural Networks with 3D Point Clouds for Empirical Friction Measurements in Hydrodynamic Flood Modelsby…
ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Modelsby Minseop Jung, Minseong Kim, Jibum KimFirst…
Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMsby Zheng Zhang, Fan Yang,…
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Seriesby Tien-Yu Chang, Hao…
DeNetDM: Debiasing by Network Depth Modulationby Silpa Vadakkeeveetil Sreelatha, Adarsh Kappiyath, Abhra Chaudhuri, Anjan DuttaFirst…
Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Databy Yuting…
Semi-Supervised Image Captioning Considering Wasserstein Graph Matchingby Yang YangFirst submitted to arxiv on: 26 Mar…
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understandingby Lingdong Kong, Xiang Xu, Jun Cen,…