On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications Z Wang, Y Mao The Tenth International Conference on Learning Representations (ICLR 2022), 2021 | 20 | 2021 |
Tighter Information-Theoretic Generalization Bounds from Supersamples Z Wang, Y Mao The Fortieth International Conference on Machine Learning (ICML 2023), 2023 | 10 | 2023 |
Over-Training with Mixup May Hurt Generalization Z Liu*, Z Wang*, H Guo, Y Mao The Eleventh International Conference on Learning Representations (ICLR 2023), 2022 | 10 | 2022 |
Information-Theoretic Analysis of Unsupervised Domain Adaptation Z Wang, Y Mao The Eleventh International Conference on Learning Representations (ICLR 2023), 2022 | 8 | 2022 |
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds Z Wang, Y Mao Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 2023 | 3 | 2023 |
Two facets of sde under an information-theoretic lens: Generalization of sgd via training trajectories and via terminal states Z Wang, Y Mao The Fortieth Conference on Uncertainty in Artificial Intelligence (UAI 2024), 2022 | 2 | 2022 |
On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions Z Wang, Y Mao, H Guo, R Zhang arXiv preprint arXiv:2009.04413, 2020 | 1 | 2020 |
Generalization in Machine Learning Through Information-Theoretic Lens Z Wang Université d'Ottawa| University of Ottawa, 2024 | | 2024 |
On f-Divergence Principled Domain Adaptation: An Improved Framework Z Wang, Y Mao arXiv preprint arXiv:2402.01887, 2024 | | 2024 |
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning F Kong, R Zhang, Z Wang, Y Mao Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2024, 2023 | | 2023 |
Cross-modal and Uni-modal Soft-label Alignment for Image-Text Retrieval H Huang, Z Nie, Z Wang, Z Shang Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2024, 2023 | | 2023 |