Understanding Training-free Diffusion Guidance: Mechanisms and Limitations.
CoRR, 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs.
CoRR, 2023
Sparse Mixture-of-Experts are Domain Generalizable Learners.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One.
CoRR, 2022
Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners.
CoRR, 2022
An Improved k-Nearest Centroid Neighbor Classification Method for Incomplete Data.
Proceedings of the 7th International Conference on Cyber Security and Information Engineering, 2022
SPE: Symmetrical Prompt Enhancement for Fact Probing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Invariant Information Bottleneck for Domain Generalization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Invariant Information Bottleneck for Domain Generalization.
CoRR, 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Dual Metric Discriminator for Open Set Video Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2021
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Rethinking Distributional Matching Based Domain Adaptation.
CoRR, 2020
Perspective-Guided Convolution Networks for Crowd Counting.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019