FRDiff : Feature Reuse for Universal Training-Free Acceleration of Diffusion Models.
Proceedings of the Computer Vision - ECCV 2024, 2024
FRDiff: Feature Reuse for Exquisite Zero-shot Acceleration of Diffusion Models.
CoRR, 2023
Robust Contrastive Learning With Dynamic Mixed Margin.
IEEE Access, 2023
Temporal Dynamic Quantization for Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Geodesic Multi-Modal Mixup for Robust Fine-Tuning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
NIPQ: Noise proxy-based Integrated Pseudo-Quantization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
NIPQ: Noise Injection Pseudo Quantization for Automated DNN Optimization.
CoRR, 2022
Multi-Modal Mixup for Robust Fine-tuning.
CoRR, 2022
Learning Fair Representation via Distributional Contrastive Disentanglement.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Exploiting Activation Sparsity for Fast CNN Inference on Mobile GPUs.
ACM Trans. Embed. Comput. Syst., 2021