| BERTScore: Evaluating Text Generation with BERT T Zhang, V Kishore, F Wu, KQ Weinberger, Y Artzi Eighth International Conference on Learning Representations, 2020 | 3712 | 2020 |
| Simplifying Graph Convolutional Networks F Wu, T Zhang, AH Souza Jr, C Fifty, T Yu, KQ Weinberger Proceedings of the 36th International Conference on Machine Learning, 6861--6871, 2019 | 2953 | 2019 |
| On fairness and calibration G Pleiss, M Raghavan, F Wu, J Kleinberg, KQ Weinberger Advances in neural information processing systems 30, 2017 | 935 | 2017 |
| Multi-scale dense convolutional networks for efficient prediction G Huang, D Chen, T Li, F Wu, L Van Der Maaten, KQ Weinberger Sixth International Conference on Learning Representations, 2018 | 928* | 2018 |
| Pay Less Attention with Lightweight and Dynamic Convolutions F Wu, A Fan, A Baevski, YN Dauphin, M Auli Seventh International Conference on Learning Representations, 2019 | 638 | 2019 |
| Revisiting few-sample BERT fine-tuning T Zhang, F Wu, A Katiyar, KQ Weinberger, Y Artzi arXiv preprint arXiv:2006.05987, 2020 | 392 | 2020 |
| An empirical study on evaluation metrics of generative adversarial networks Q Xu, G Huang, Y Yuan, C Guo, Y Sun, F Wu, K Weinberger arXiv preprint arXiv:1806.07755, 2018 | 318 | 2018 |
| AH d. Souza Jr, C. Fifty, T. Yu, and KQ Weinberger,“Simplifying graph convolutional networks,” F Wu, T Zhang arXiv preprint arXiv:1902.07153 3, 2019 | 194 | 2019 |
| On feature normalization and data augmentation B Li, F Wu, SN Lim, S Belongie, KQ Weinberger Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 138 | 2021 |
| Positional normalization B Li, F Wu, KQ Weinberger, S Belongie Advances in Neural Information Processing Systems 32, 2019 | 97 | 2019 |
| Attention-based quantum tomography P Cha, P Ginsparg, F Wu, J Carrasquilla, PL McMahon, EA Kim Machine Learning: Science and Technology 3 (1), 01LT01, 2021 | 61 | 2021 |
| E-branchformer: Branchformer with enhanced merging for speech recognition K Kim, F Wu, Y Peng, J Pan, P Sridhar, KJ Han, S Watanabe 2022 IEEE Spoken Language Technology Workshop (SLT), 84-91, 2023 | 50 | 2023 |
| Slue: New benchmark tasks for spoken language understanding evaluation on natural speech S Shon, A Pasad, F Wu, P Brusco, Y Artzi, K Livescu, KJ Han ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 44 | 2022 |
| Effective string processing and matching for author disambiguation WS Chin, YC Juan, Y Zhuang, F Wu, HY Tung, T Yu, JP Wang, CX Chang, ... Proceedings of the 2013 KDD Cup 2013 workshop, 1-9, 2013 | 42 | 2013 |
| Performance-efficiency trade-offs in unsupervised pre-training for speech recognition F Wu, K Kim, J Pan, KJ Han, KQ Weinberger, Y Artzi ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 35 | 2022 |
| Combining global models for parsing universal dependencies T Shi, FG Wu, X Chen, Y Cheng Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw …, 2017 | 31 | 2017 |
| Making paper reviewing robust to bid manipulation attacks R Wu, C Guo, F Wu, R Kidambi, L Van Der Maaten, K Weinberger International Conference on Machine Learning, 11240-11250, 2021 | 25 | 2021 |
| Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 CL Li, YC Su, TW Lin, CH Tsai, WC Chang, KH Huang, TM Kuo, SW Lin, ... Proceedings of the 2013 KDD Cup 2013 Workshop, 1-7, 2013 | 25 | 2013 |
| Wav2seq: Pre-training speech-to-text encoder-decoder models using pseudo languages F Wu, K Kim, S Watanabe, KJ Han, R McDonald, KQ Weinberger, Y Artzi ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 23 | 2023 |
| An empirical study on evaluation metrics of generative adversarial networks G Huang, Y Yuan, Q Xu, C Guo, Y Sun, F Wu, K Weinberger | 22 | 2018 |
Kilian WeinbergerCornell UniversityZweryfikowany adres z cornell.edu
