Summary of Cl4kge: a Curriculum Learning Method For Knowledge Graph Embedding, by Yang Liu et al.
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embeddingby Yang Liu, Chuan Zhou, Peng Zhang,…
Summary of Multi-normal Prototypes Learning For Weakly Supervised Anomaly Detection, by Zhijin Dong et al.
Multi-Normal Prototypes Learning for Weakly Supervised Anomaly Detectionby Zhijin Dong, Hongzhi Liu, Boyuan Ren, Weimin…
Summary of Llms As Zero-shot Graph Learners: Alignment Of Gnn Representations with Llm Token Embeddings, by Duo Wang and Yuan Zuo and Fengzhi Li and Junjie Wu
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddingsby Duo Wang,…
Summary of Gallery-aware Uncertainty Estimation For Open-set Face Recognition, by Leonid Erlygin et al.
Gallery-Aware Uncertainty Estimation For Open-Set Face Recognitionby Leonid Erlygin, Alexey ZaytsevFirst submitted to arxiv on:…
Summary of Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings, by Miguel Alves Gomes et al.
Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddingsby Miguel Alves Gomes, Philipp…
Summary of Human-in-the-loop Machine Learning For Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities, by Yousef Emami et al.
Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunitiesby Yousef Emami,…
Summary of Boosting Graph Neural Network Expressivity with Learnable Lanczos Constraints, by Niloofar Azizi et al.
Boosting Graph Neural Network Expressivity with Learnable Lanczos Constraintsby Niloofar Azizi, Nils Kriege, Horst BischofFirst…
Summary of Extraction Of Research Objectives, Machine Learning Model Names, and Dataset Names From Academic Papers and Analysis Of Their Interrelationships Using Llm and Network Analysis, by S. Nishio et al.
Extraction of Research Objectives, Machine Learning Model Names, and Dataset Names from Academic Papers and…
Summary of Embedding Ordinality to Binary Loss Function For Improving Solar Flare Forecasting, by Chetraj Pandey et al.
Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecastingby Chetraj Pandey, Anli Ji,…
Summary of Improving Embedding with Contrastive Fine-tuning on Small Datasets with Expert-augmented Scores, by Jun Lu et al.
Improving embedding with contrastive fine-tuning on small datasets with expert-augmented scoresby Jun Lu, David Li,…