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Zhe Gan
Zhe Gan
Principal Researcher, Microsoft
microsoft.com의 이메일 확인됨 - 홈페이지
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Attngan: Fine-grained text to image generation with attentional generative adversarial networks
T Xu, P Zhang, Q Huang, H Zhang, Z Gan, X Huang, X He
Proceedings of the IEEE conference on computer vision and pattern …, 2018
9852018
Uniter: Universal image-text representation learning
YC Chen, L Li, L Yu, A El Kholy, F Ahmed, Z Gan, Y Cheng, J Liu
European Conference on Computer Vision, 104-120, 2020
795*2020
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
6532016
Patient knowledge distillation for bert model compression
S Sun, Y Cheng, Z Gan, J Liu
arXiv preprint arXiv:1908.09355, 2019
3882019
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
3882017
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
3122017
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
2352017
Freelb: Enhanced adversarial training for natural language understanding
C Zhu, Y Cheng, Z Gan, S Sun, T Goldstein, J Liu
International Conference on Learning Representations, 2020
218*2020
Relation-aware graph attention network for visual question answering
L Li, Z Gan, Y Cheng, J Liu
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
2002019
Generating informative and diverse conversational responses via adversarial information maximization
Y Zhang, M Galley, J Gao, Z Gan, X Li, C Brockett, B Dolan
Advances in Neural Information Processing Systems 31, 2018
1902018
Large-scale adversarial training for vision-and-language representation learning
Z Gan, YC Chen, L Li, C Zhu, Y Cheng, J Liu
Advances in Neural Information Processing Systems 33, 6616-6628, 2020
1812020
Generating Text via Adversarial Training
Y Zhang, Z Gan, L Carin
Workshop on Adversarial Training, NIPS 2016, 2016
1622016
Hero: Hierarchical encoder for video+ language omni-representation pre-training
L Li, YC Chen, Y Cheng, Z Gan, L Yu, J Liu
arXiv preprint arXiv:2005.00200, 2020
1492020
Discourse-aware neural extractive text summarization
J Xu, Z Gan, Y Cheng, J Liu
arXiv preprint arXiv:1910.14142, 2019
1342019
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
130*2017
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
1262017
Learning deep sigmoid belief networks with data augmentation
Z Gan, R Henao, D Carlson, L Carin
Artificial Intelligence and Statistics, 268-276, 2015
1242015
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
1202021
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
1182018
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
1072019
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