8 citations · 11 across the 5 of their papers we have counts for
5 papers
Self-supervised Graph Learning for Long-tailed Cognitive Diagnosis
Shanshan Wang, Zhen Zeng, Xun Yang +1
Cognitive diagnosis is a fundamental yet critical research task in the field of intelligent education, which aims to discover the proficiency level of different students on specifi…
A Roadmap for Big Model
Sha Yuan, Hanyu Zhao, Shuai Zhao +97
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm. Researchers have achieved various outcomes in the c…
Robotic Occlusion Reasoning for Efficient Object Existence Prediction
Mengdi Li, Cornelius Weber, Matthias Kerzel +4
Reasoning about potential occlusions is essential for robots to efficiently predict whether an object exists in an environment. Though existing work shows that a robot with active…
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
Zheni Zeng, Chaojun Xiao, Yuan Yao +5
Recommender systems aim to provide item recommendations for users, and are usually faced with data sparsity problem (e.g., cold start) in real-world scenarios. Recently pre-trained…
SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking
Yanru Huang, Feiyu Zhu, Zheni Zeng +3
We present a novel self quality evaluation metric SQE for parameters optimization in the challenging yet critical multi-object tracking task. Current evaluation metrics all require…