DFML: Decentralized Federated Mutual Learning.
Trans. Mach. Learn. Res., 2024
Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?
CoRR, 2024
DAS: A Deformable Attention to Capture Salient Information in CNNs.
CoRR, 2023
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning.
Proceedings of the International Conference on Machine Learning, 2023
Tackling Online One-Class Incremental Learning by Removing Negative Contrasts.
CoRR, 2022
New Insights on Reducing Abrupt Representation Change in Online Continual Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Towards Shape Biased Unsupervised Representation Learning for Domain Generalization.
CoRR, 2019
Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation.
CoRR, 2019