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Felix Wu
Felix Wu
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Title
Cited by
Cited by
Year
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
16882019
BERTScore: Evaluating Text Generation with BERT
T Zhang, V Kishore, F Wu, KQ Weinberger, Y Artzi
Eighth International Conference on Learning Representations, 2020
15982020
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
667*2018
On fairness and calibration
G Pleiss, M Raghavan, F Wu, J Kleinberg, KQ Weinberger
Advances in neural information processing systems 30, 2017
6412017
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
4882019
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
2472018
Revisiting few-sample BERT fine-tuning
T Zhang, F Wu, A Katiyar, KQ Weinberger, Y Artzi
arXiv preprint arXiv:2006.05987, 2020
2132020
AH d. Souza Jr, C. Fifty, T. Yu, and KQ Weinberger,“Simplifying graph convolutional networks,”
F Wu, T Zhang
arXiv preprint arXiv:1902.07153, 1041-4347, 2019
1362019
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
852021
Positional normalization
B Li, F Wu, KQ Weinberger, S Belongie
Advances in Neural Information Processing Systems 32, 2019
682019
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
392013
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
302021
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
292017
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
252013
Fast reading comprehension with convnets
F Wu, N Lao, J Blitzer, G Yang, K Weinberger
arXiv preprint arXiv:1711.04352, 2017
212017
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
182022
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
172022
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
132021
Flickr-tag prediction using multi-modal fusion and meta information
YC Su, TH Chiu, GL Wu, CY Yeh, F Wu, W Hsu
Proceedings of the 21st ACM international conference on Multimedia, 353-356, 2013
92013
On the use of external data for spoken named entity recognition
A Pasad, F Wu, S Shon, K Livescu, KJ Han
arXiv preprint arXiv:2112.07648, 2021
62021
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