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cs.LG2024
Early Period of Training Impacts Adaptation for Out-of-Distribution Generalization: An Empirical Study
Chen Cecilia Liu, Iryna Gurevych
Prior research shows that differences in the early period of neural network training significantly impact the performance of in-distribution (ID) data of tasks. Yet, the implicatio…
cs.LG2020
Graph Representation Learning Network via Adaptive Sampling
Anderson de Andrade, Chen Liu
Graph Attention Network (GAT) and GraphSAGE are neural network architectures that operate on graph-structured data and have been widely studied for link prediction and node classif…