| Rethinking architecture selection in differentiable NAS R Wang, M Cheng, X Chen, X Tang, CJ Hsieh International Conference on Learning Representations, 2021 | 123 | 2021 |
| DrNAS: Dirichlet Neural Architecture Search X Chen*, R Wang*, M Cheng*, X Tang, CJ Hsieh International Conference on Learning Representations, 2021 | 94 | 2021 |
| FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Y Xiong*, R Wang*, M Cheng, F Yu, CJ Hsieh The IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2023 | 18 | 2023 |
| DC-BENCH: Dataset Condensation Benchmark J Cui, R Wang, S Si, CJ Hsieh Advances in Neural Information Processing Systems, 2022 | 18 | 2022 |
| Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory J Cui, R Wang, S Si, CJ Hsieh International Conference on Machine Learning, 2023 | 15 | 2023 |
| Generalizing Few-Shot NAS with Gradient Matching S Hu*, R Wang*, H Lanqing, Z Li, CJ Hsieh, J Feng International Conference on Learning Representations, 2022 | 15 | 2022 |
| RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving R Wang, X Chen, M Cheng, X Tang, CJ Hsieh Proceedings of IEEE International Conference on Computer Vision, 2021 | 14 | 2021 |
| Learning to Schedule Learning rate with Graph Neural Networks Y Xiong, LC Lan, X Chen, R Wang, CJ Hsieh International Conference on Learning Representations, 2022 | 5 | 2022 |
| Efficient Non-Parametric Optimizer Search for Diverse Tasks R Wang, Y Xiong, M Cheng, CJ Hsieh Advances in Neural Information Processing Systems, 2022 | 2 | 2022 |
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
