Conditional Mutual Information Constrained Deep Learning: Framework and Preliminary Results.
Proceedings of the IEEE International Symposium on Information Theory, 2024
Fed-IT: Addressing Class Imbalance in Federated Learning through an Information- Theoretic Lens.
Proceedings of the IEEE International Symposium on Information Theory, 2024
Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
How to Train the Teacher Model for Effective Knowledge Distillation.
Proceedings of the Computer Vision - ECCV 2024, 2024
Conditional Mutual Information Constrained Deep Learning for Classification.
CoRR, 2023
Dual Graph enhanced Embedding Neural Network for CTR Prediction.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021