Artigos com autorizações de acesso público - Eric XingSaiba mais
Disponíveis em algum local: 197
Toward controlled generation of text
Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing
International conference on machine learning, 1587-1596, 2017
Autorizações: US National Science Foundation, US Department of Defense
Dags with no tears: Continuous optimization for structure learning
X Zheng, B Aragam, PK Ravikumar, EP Xing
Advances in neural information processing systems 31, 2018
Autorizações: US National Science Foundation, US Department of Defense, US National …
Deep kernel learning
AG Wilson, Z Hu, R Salakhutdinov, EP Xing
Artificial intelligence and statistics, 370-378, 2016
Autorizações: US National Science Foundation, US National Institutes of Health
Learning robust global representations by penalizing local predictive power
H Wang, S Ge, Z Lipton, EP Xing
Advances in neural information processing systems 32, 2019
Autorizações: US National Science Foundation, US National Institutes of Health
More effective distributed ml via a stale synchronous parallel parameter server
Q Ho, J Cipar, H Cui, S Lee, JK Kim, PB Gibbons, GA Gibson, G Ganger, ...
Advances in neural information processing systems 26, 2013
Autorizações: US National Institutes of Health
Neural architecture search with bayesian optimisation and optimal transport
K Kandasamy, W Neiswanger, J Schneider, B Poczos, EP Xing
Advances in neural information processing systems 31, 2018
Autorizações: US National Science Foundation, US Department of Energy, US Department of …
Self-challenging improves cross-domain generalization
Z Huang, H Wang, EP Xing, D Huang
Computer vision–ECCV 2020: 16th European conference, Glasgow, UK, August 23 …, 2020
Autorizações: US National Science Foundation, US National Institutes of Health, US Office …
Petuum: A new platform for distributed machine learning on big data
EP Xing, Q Ho, W Dai, JK Kim, J Wei, S Lee, X Zheng, P Xie, A Kumar, ...
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
Autorizações: US National Institutes of Health
Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping
S Kim, EP Xing
Autorizações: US National Institutes of Health
Dual motion GAN for future-flow embedded video prediction
X Liang, L Lee, W Dai, EP Xing
proceedings of the IEEE international conference on computer vision, 1744-1752, 2017
Autorizações: US Department of Defense
Graph-structured multi-task regression and an efficient optimization method for general fused lasso
X Chen, S Kim, Q Lin, JG Carbonell, EP Xing
arXiv preprint arXiv:1005.3579, 2010
Autorizações: US National Institutes of Health
Geeps: Scalable deep learning on distributed gpus with a gpu-specialized parameter server
H Cui, H Zhang, GR Ganger, PB Gibbons, EP Xing
Proceedings of the eleventh european conference on computer systems, 1-16, 2016
Autorizações: US National Science Foundation
Rethinking knowledge graph propagation for zero-shot learning
M Kampffmeyer, Y Chen, X Liang, H Wang, Y Zhang, EP Xing
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Autorizações: Research Council of Norway
Alpa: Automating Inter-and Intra-Operator Parallelism for Distributed Deep Learning
L Zheng, Z Li, H Zhang, Y Zhuang, Z Chen, Y Huang, Y Wang, Y Xu, ...
arXiv preprint arXiv:2201.12023, 2022
Autorizações: US National Science Foundation
Semantic pooling for complex event analysis in untrimmed videos
X Chang, YL Yu, Y Yang, EP Xing
IEEE transactions on pattern analysis and machine intelligence 39 (8), 1617-1632, 2016
Autorizações: US National Institutes of Health, National Natural Science Foundation of China
Stochastic variational deep kernel learning
AG Wilson, Z Hu, RR Salakhutdinov, EP Xing
Advances in neural information processing systems 29, 2016
Autorizações: US National Science Foundation
Trustllm: Trustworthiness in large language models
L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ...
arXiv preprint arXiv:2401.05561 3, 2024
Autorizações: US National Science Foundation
Learning sparse nonparametric dags
X Zheng, C Dan, B Aragam, P Ravikumar, E Xing
International Conference on Artificial Intelligence and Statistics, 3414-3425, 2020
Autorizações: US National Science Foundation, US Department of Defense
Statistical estimation of correlated genome associations to a quantitative trait network
S Kim, EP Xing
PLoS genetics 5 (8), e1000587, 2009
Autorizações: US National Institutes of Health
Tuning hyperparameters without grad students: Scalable and robust bayesian optimisation with dragonfly
K Kandasamy, KR Vysyaraju, W Neiswanger, B Paria, CR Collins, ...
Journal of Machine Learning Research 21 (81), 1-27, 2020
Autorizações: US National Science Foundation, US Department of Energy, US Department of …
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