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Felix Wu
Felix Wu
Character AI
Подтвержден адрес электронной почты в домене character.ai - Главная страница
Название
Процитировано
Процитировано
Год
BERTScore: Evaluating Text Generation with BERT
T Zhang, V Kishore, F Wu, KQ Weinberger, Y Artzi
Eighth International Conference on Learning Representations, 2020
53012020
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
37032019
On fairness and calibration
G Pleiss, M Raghavan, F Wu, J Kleinberg, KQ Weinberger
Advances in neural information processing systems 30, 2017
10782017
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
1048*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
6932019
Revisiting few-sample BERT fine-tuning
T Zhang, F Wu, A Katiyar, KQ Weinberger, Y Artzi
arXiv preprint arXiv:2006.05987, 2020
4512020
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
3702018
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
2312019
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
1802021
Positional normalization
B Li, F Wu, KQ Weinberger, S Belongie
Advances in Neural Information Processing Systems 32, 2019
1112019
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
942023
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
802021
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
752022
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
442013
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
422022
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
352023
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
332017
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
302021
Structured pruning of self-supervised pre-trained models for speech recognition and understanding
Y Peng, K Kim, F Wu, P Sridhar, S Watanabe
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
282023
SLUE phase-2: A benchmark suite of diverse spoken language understanding tasks
S Shon, S Arora, CJ Lin, A Pasad, F Wu, R Sharma, WL Wu, HY Lee, ...
arXiv preprint arXiv:2212.10525, 2022
272022
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