Towards Transferable Unrestricted Adversarial Examples with Minimum Changes F Liu, C Zhang, H Zhang SaTML 2023, 2022 | 22* | 2022 |
PanGu-: Enhancing Language Model Architectures via Nonlinearity Compensation Y Wang, H Chen, Y Tang, T Guo, K Han, Y Nie, X Wang, H Hu, Z Bai, ... arXiv preprint arXiv:2312.17276, 2023 | 19 | 2023 |
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting F Liu, Y Tang, Z Liu, Y Ni, D Tang, K Han, Y Wang NeurIPS 2024, 2024 | 10* | 2024 |
Rethinking Optimization and Architecture for Tiny Language Models Y Tang, F Liu, Y Ni, Y Tian, Z Bai, YQ Hu, S Liu, S Jui, K Han, Y Wang ICML 2024, 2024 | 9 | 2024 |
Unrestricted Adversarial Attacks on ImageNet Competition Y Chen, X Mao, Y He, H Xue, C Li, Y Dong, QA Fu, X Yang, W Xiang, ... CVPR-2021 AIC Phase VI Track2, 2021 | 9 | 2021 |