受强制性开放获取政策约束的文章 - Zhe Gan了解详情
可在其他位置公开访问的文章：38 篇
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Y Pu, Z Gan, R Henao, X Yuan, C Li, A Stevens, L Carin
NIPS, 2016
强制性开放获取政策： US National Science Foundation, US Department of Energy
Less is more: Clipbert for video-and-language learning via sparse sampling
J Lei, L Li, L Zhou, Z Gan, TL Berg, M Bansal, J Liu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
Semantic compositional networks for visual captioning
Z Gan, C Gan, X He, Y Pu, K Tran, J Gao, L Carin, L Deng
Proceedings of the IEEE conference on computer vision and pattern …, 2017
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
Adversarial feature matching for text generation
Y Zhang, Z Gan, K Fan, Z Chen, R Henao, D Shen, L Carin
International conference on machine learning, 4006-4015, 2017
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
Club: A contrastive log-ratio upper bound of mutual information
P Cheng, W Hao, S Dai, J Liu, Z Gan, L Carin
International conference on machine learning, 1779-1788, 2020
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
Stylenet: Generating attractive visual captions with styles
C Gan, Z Gan, X He, J Gao, L Deng
Proceedings of the IEEE conference on computer vision and pattern …, 2017
强制性开放获取政策： 国家自然科学基金委员会
Generalized decoding for pixel, image, and language
X Zou, ZY Dou, J Yang, Z Gan, L Li, C Li, X Dai, H Behl, J Wang, L Yuan, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
强制性开放获取政策： US National Science Foundation
Chasing sparsity in vision transformers: An end-to-end exploration
T Chen, Y Cheng, Z Gan, L Yuan, L Zhang, Z Wang
Advances in Neural Information Processing Systems 34, 19974-19988, 2021
强制性开放获取政策： US National Science Foundation
Graph optimal transport for cross-domain alignment
L Chen, Z Gan, Y Cheng, L Li, L Carin, J Liu
International Conference on Machine Learning, 1542-1553, 2020
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
Tactical rewind: Self-correction via backtracking in vision-and-language navigation
L Ke, X Li, Y Bisk, A Holtzman, Z Gan, J Liu, J Gao, Y Choi, S Srinivasa
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
Adversarial text generation via feature-mover's distance
L Chen, S Dai, C Tao, H Zhang, Z Gan, D Shen, Y Zhang, G Wang, ...
Advances in neural information processing systems 31, 2018
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
Triangle generative adversarial networks
Z Gan, L Chen, W Wang, Y Pu, Y Zhang, H Liu, C Li, L Carin
Advances in neural information processing systems 30, 2017
强制性开放获取政策： US Department of Energy, US Department of Defense
Learning Generic Sentence Representations Using Convolutional Neural Networks
Z Gan, Y Pu, R Henao, C Li, X He, L Carin
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
Learning deep sigmoid belief networks with data augmentation
Z Gan, R Henao, D Carlson, L Carin
Artificial Intelligence and Statistics, 268-276, 2015
强制性开放获取政策： US Department of Energy
Coarse-to-fine vision-language pre-training with fusion in the backbone
ZY Dou, A Kamath, Z Gan, P Zhang, J Wang, L Li, Z Liu, C Liu, Y LeCun, ...
Advances in neural information processing systems 35, 32942-32956, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense, US National …
Injecting semantic concepts into end-to-end image captioning
Z Fang, J Wang, X Hu, L Liang, Z Gan, L Wang, Y Yang, Z Liu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
强制性开放获取政策： US National Science Foundation
Deconvolutional paragraph representation learning
Y Zhang, D Shen, G Wang, Z Gan, R Henao, L Carin
Advances in Neural Information Processing Systems 30, 2017
强制性开放获取政策： US Department of Energy, US Department of Defense
Bridging the gap between stochastic gradient MCMC and stochastic optimization
C Chen, D Carlson, Z Gan, C Li, L Carin
Artificial Intelligence and Statistics, 1051-1060, 2016
强制性开放获取政策： US National Science Foundation, US Department of Energy
Scalable Deep Poisson Factor Analysis for Topic Modeling
Z Gan, C Chen, R Henao, D Carlson, L Carin
Proceedings of the 32nd International Conference on Machine Learning, 2015
强制性开放获取政策： US Department of Energy
K-lite: Learning transferable visual models with external knowledge
S Shen, C Li, X Hu, Y Xie, J Yang, P Zhang, Z Gan, L Wang, L Yuan, C Liu, ...
Advances in Neural Information Processing Systems 35, 15558-15573, 2022
强制性开放获取政策： US Department of Defense
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