Rolling the dice for better deep learning performance: A study of randomness techniques in deep…
Federated Unlearning for Human Activity Recognitionby Kongyang Chen, Dongping zhang, Yaping Chai, Weibin Zhang, Shaowei…
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationalesby…
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networksby Arjun…
Goldfish: An Efficient Federated Unlearning Frameworkby Houzhe Wang, Xiaojie Zhu, Chi Chen, Paulo Esteves-VeríssimoFirst submitted…
A Strong Baseline for Molecular Few-Shot Learningby Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben…
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learningby Hongwei Zheng, Linyuan Zhou, Han Li,…