9.1 模型调参【stanford-cs329p】

Jun 17 stanford-cs329p Comments Word Count: 421(words) Read Count: 1(minutes)

KDD-2019 MeLU：Meta-Learned User Preference Estimator for Cold-Start Recommendation

Jun 16 PaperNote IR Comments Word Count: 1.5k(words) Read Count: 5(minutes)

ICML-2017 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Jun 15 PaperNote cs.Meta Comments Word Count: 946(words) Read Count: 3(minutes)

5.4 Stacking【stanford-cs329p】

Jun 15 stanford-cs329p Comments Word Count: 341(words) Read Count: 1(minutes)

5.3 Boosting【stanford-cs329p】

Jun 13 stanford-cs329p Comments Word Count: 318(words) Read Count: 1(minutes)

ICSE-2021 InferCode：Self-Supervised Learning of Code Representations by Predicting Subtrees

Jun 11 PaperNote CL, SE Comments Word Count: 1k(words) Read Count: 3(minutes)

ECCV-2020 End-to-End Object Detection with Transformers

Jun 10 PaperNote CV Comments Word Count: 1.5k(words) Read Count: 5(minutes)

5.2 Bagging【stanford-cs329p】

Jun 10 stanford-cs329p Comments Word Count: 397(words) Read Count: 1(minutes)

5.1 方差和偏差【stanford-cs329p】

Jun 8 stanford-cs329p Comments Word Count: 174(words) Read Count: 1(minutes)

ICPC-2022 HELoC：Hierarchical Contrastive Learning of Source Code Representation

Jun 8 PaperNote CL, SE Comments Word Count: 942(words) Read Count: 3(minutes)