publications-(year)
publications by categories in reversed chronological order. * indicates co-first author.
2024
- NeurIPS 2024Model Sensitivity Aware Continual LearningIn Advances in Neural Information Processing Systems , 2024
- ECCV 2024Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive PromptIn European Conference on Computer Vision , 2024
- ECCV 2024Training A Secure Model against Data-Free Model ExtractionIn European Conference on Computer Vision , 2024
- ICML 2024Defense against Model Extraction Attack by Bayesian Active WatermarkingIn Forty-first International Conference on Machine Learning , 2024
- ICML 2024Representation Surgery for Multi-Task Model MergingIn Forty-first International Conference on Machine Learning , 2024
- ICML 2024Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained ModelsIn Forty-first International Conference on Machine Learning , 2024
- ICML 2024Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free ApplicationsIn Forty-first International Conference on Machine Learning , 2024
- CVPR 2024FREE: Faster and Better Data-Free Meta-LearningIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2024
- ICLR 2024A Unified and General Framework for Continual LearningIn The Twelfth International Conference on Learning Representations , 2024
- ICLR 2024Improving Non-Transferable Representation Learning by Harnessing Content and StyleIn The Twelfth International Conference on Learning Representations , 2024
Spotlight
- ICLR 2024AdaMerging: Adaptive Model Merging for Multi-Task LearningIn The Twelfth International Conference on Learning Representations , 2024
- SDM 2024Meta-adaptive stock movement prediction with two-stage representation learningIn Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) , 2024
- TPAMI 2024A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual LearningIEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
- TPAMI 2024Continual Learning From a Stream of APIsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
2023
- TPAMI 2023Distributionally robust memory evolution with generalized divergence for continual learningIEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
- NeurIPS 2023Defending against Data-Free Model Extraction by Distributionally Robust Defensive TrainingAdvances in Neural Information Processing Systems, 2023
- NeurIPS 2023An Efficient Dataset Condensation Plugin and Its Application to Continual LearningAdvances in Neural Information Processing Systems, 2023
- ICCV 2023Data augmented flatness-aware gradient projection for continual learningIn Proceedings of the IEEE/CVF International Conference on Computer Vision , 2023
- ICML 2023Learning to learn from APIs: black-box data-free meta-learningIn International Conference on Machine Learning , 2023
- CVPR 2023Metamix: Towards corruption-robust continual learning with temporally self-adaptive data transformationIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023
- CVPR 2023Architecture, Dataset and Model-Scale Agnostic Data-free Meta-LearningIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023
2022
- ECCV 2022Meta-learning with less forgetting on large-scale non-stationary task distributionsIn European Conference on Computer Vision , 2022
- UAI 2022Meta-learning without data via wasserstein distributionally-robust model fusionIn Uncertainty in Artificial Intelligence , 2022
- ICML 2022Improving task-free continual learning by distributionally robust memory evolutionIn International conference on machine learning , 2022
- CVPR 2022Learning to learn and remember super long multi-domain task sequenceIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2022
Oral
2021
- ICCV 2021Meta learning on a sequence of imbalanced domains with difficulty awarenessIn Proceedings of the IEEE/CVF International Conference on Computer Vision , 2021
- ICLR 2021Meta-Learning with Neural Tangent KernelsIn International Conference on Learning Representations , 2021
2020
- EMNLP 2020Repulsive Attention: Rethinking Multi-head Attention as Bayesian InferenceIn Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing , 2020
- ACL 2020Towards Faithful Neural Table-to-Text Generation with Content-Matching ConstraintsIn Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , 2020
- ICLR 2020Bayesian meta sampling for fast uncertainty adaptationIn International Conference on Learning Representations , 2020
- AAAI 2020Learning diverse stochastic human-action generators by learning smooth latent transitionsProceedings of the AAAI conference on artificial intelligence, 2020