| Outlier weighed layerwise sparsity (owl): A missing secret sauce for pruning llms to high sparsity L Yin, Y Wu, Z Zhang, CY Hsieh, Y Wang, Y Jia, M Pechenizkiy, Y Liang, ... International Conference on Machine Learning (ICML), 2024 | 17 | 2024 |
| Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting G Li, J Ji, M Qin, W Niu, B Ren, F Afghah, L Guo, X Ma IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 11 | 2023 |
| Dynamic Sparsity Is Channel-Level Sparsity Learner L Yin, G Li, M Fang, L Shen, T Huang, Z Wang, V Menkovski, X Ma, ... Advances in Neural Information Processing Systems (NeurIPS), 2023 | 10 | 2023 |
| Advancing Dynamic Sparse Training by Exploring Optimization Opportunities J Ji*, G Li*, L Yin, M Qin, G Yuan, L Guo, S Liu, X Ma Forty-first International Conference on Machine Learning (ICML), 2024 | 1* | 2024 |
| NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization G Li, L Yin, J Ji, W Niu, M Qin, B Ren, L Guo, S Liu, X Ma The Twelfth International Conference on Learning Representations (ICLR), 2024 | 1* | 2024 |
| Coupling Fairness and Pruning in a Single Run: a Bi-level Optimization Perspective Y Dai*, G Li*, F Luo, X Ma, Y Wu arXiv preprint arXiv:2312.10181, 2023 | 1 | 2023 |
| Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design G Li, Z Shu, J Ji, M Qin, F Afghah, W Niu, X Ma European Conference on Computer Vision (ECCV), 2024 | | 2024 |
