On the Generalization and Causal Explanation in Self-Supervised Learning.
Int. J. Comput. Vis., April, 2025
A Trusted Generative-Discriminative Joint Feature Learning Framework for Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective.
CoRR, 2024
On the Discriminability of Self-Supervised Representation Learning.
CoRR, 2024
Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting.
CoRR, 2024
Learning Invariant Causal Mechanism from Vision-Language Models.
CoRR, 2024
Explicitly Modeling Universality into Self-Supervised Learning.
CoRR, 2024
Not All Frequencies Are Created Equal: Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Hacking Task Confounder in Meta-Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Hacking Task Confounder in Meta-Learning.
CoRR, 2023
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning.
CoRR, 2023
Learning to Sample Tasks for Meta Learning.
CoRR, 2023
Towards the Sparseness of Projection Head in Self-Supervised Learning.
CoRR, 2023
Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation.
CoRR, 2023
A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation.
CoRR, 2023