Stebėti
Ledell (Yu) Wu
Ledell (Yu) Wu
Kiti vardaiLedell Wu, Yu Wu, 伍昱
Creatify AI
Patvirtintas el. paštas creatify.ai
Pavadinimas
Cituota
Cituota
Metai
Dense passage retrieval for open-domain question answering
V Karpukhin, B Oğuz, S Min, P Lewis, L Wu, S Edunov, D Chen, W Yih
arXiv preprint arXiv:2004.04906, 2020
30692020
Learning fair representations
R Zemel, Y Wu, K Swersky, T Pitassi, C Dwork
International conference on machine learning, 325-333, 2013
22112013
Eva: Exploring the limits of masked visual representation learning at scale
Y Fang, W Wang, B Xie, Q Sun, L Wu, X Wang, T Huang, X Wang, Y Cao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
5802023
Scalable zero-shot entity linking with dense entity retrieval
L Wu, F Petroni, M Josifoski, S Riedel, L Zettlemoyer
arXiv preprint arXiv:1911.03814, 2019
5302019
Pytorch-biggraph: A large scale graph embedding system
A Lerer, L Wu, J Shen, T Lacroix, L Wehrstedt, A Bose, A Peysakhovich
Proceedings of Machine Learning and Systems 1, 120-131, 2019
4442019
Starspace: Embed all the things!
LY Wu, A Fisch, S Chopra, K Adams, A Bordes, J Weston
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
3242018
Multi-dimensional gender bias classification
E Dinan, A Fan, L Wu, J Weston, D Kiela, A Williams
arXiv preprint arXiv:2005.00614, 2020
1392020
Multilingual autoregressive entity linking
N De Cao, L Wu, K Popat, M Artetxe, N Goyal, M Plekhanov, ...
Transactions of the Association for Computational Linguistics 10, 274-290, 2022
1302022
Altclip: Altering the language encoder in clip for extended language capabilities
Z Chen, G Liu, BW Zhang, F Ye, Q Yang, L Wu
arXiv preprint arXiv:2211.06679, 2022
722022
Dynaboard: An evaluation-as-a-service platform for holistic next-generation benchmarking
Z Ma, K Ethayarajh, T Thrush, S Jain, L Wu, R Jia, C Potts, A Williams, ...
Advances in Neural Information Processing Systems 34, 10351-10367, 2021
602021
Ultron: An ultimate retriever on corpus with a model-based indexer
Y Zhou, J Yao, Z Dou, L Wu, P Zhang, JR Wen
arXiv preprint arXiv:2208.09257, 2022
432022
Inapproximability of treewidth and related problems
Y Wu, P Austrin, T Pitassi, D Liu
Journal of Artificial Intelligence Research 49, 569-600, 2014
392014
Inapproximability of treewidth, one-shot pebbling, and related layout problems
P Austrin, T Pitassi, Y Wu
International Workshop on Approximation Algorithms for Combinatorial …, 2012
322012
Ptab: Using the pre-trained language model for modeling tabular data
G Liu, J Yang, L Wu
arXiv preprint arXiv:2209.08060, 2022
282022
Dynamicretriever: A pre-training model-based IR system with neither sparse nor dense index
Y Zhou, J Yao, Z Dou, L Wu, JR Wen
arXiv preprint arXiv:2203.00537, 2022
262022
DynamicRetriever: a pre-trained model-based IR system without an explicit index
YJ Zhou, J Yao, ZC Dou, L Wu, JR Wen
Machine Intelligence Research 20 (2), 276-288, 2023
152023
Proceedings of the 30th International Conference on Machine Learning
R Zemel, Y Wu, K Swersky, T Pitassi, C Dwork
PMLR 28 (3), 325-333, 2013
142013
Unitabe: A universal pretraining protocol for tabular foundation model in data science
Y Yang, Y Wang, G Liu, L Wu, Q Liu
The Twelfth International Conference on Learning Representations, 2024
82024
Unitabe: Pretraining a unified tabular encoder for heterogeneous tabular data
Y Yang, Y Wang, G Liu, L Wu, Q Liu
arXiv preprint arXiv:2307.09249, 2023
52023
PyTorch-BigGraph: A Large-scale Graph Embedding System. CoRR abs/1903.12287 (2019)
A Lerer, L Wu, J Shen, T Lacroix, L Wehrstedt, A Bose, A Peysakhovich
arXiv preprint arXiv:1903.12287, 2019
52019
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