Straipsniai su viešo pasiekiamumo įpareigojimais - Chongxuan LiSužinokite daugiau
Niekur nepasiekiama: 2
Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning
Y Lin, Q Zhang, B Gao, J Tang, P Yao, C Li, S Huang, Z Liu, Y Zhou, Y Liu, ...
Nature Machine Intelligence 5 (7), 714-723, 2023
Įpareigojimai: National Natural Science Foundation of China
Probabilistic neural–symbolic models with inductive posterior constraints
K Su, H Su, C Li, J Zhu, B Zhang
IEEE Transactions on Neural Networks and Learning Systems 35 (2), 2667-2679, 2022
Įpareigojimai: National Natural Science Foundation of China
Kur nors pasiekiama: 34
Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps
C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu
NeurIPS 2022, 2022
Įpareigojimai: National Natural Science Foundation of China
Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Z Wang, C Lu, Y Wang, F Bao, C Li, H Su, J Zhu
Advances in Neural Information Processing Systems 36, 8406-8441, 2023
Įpareigojimai: National Natural Science Foundation of China
Towards better analysis of deep convolutional neural networks
M Liu, J Shi, Z Li, C Li, J Zhu, S Liu
IEEE transactions on visualization and computer graphics 23 (1), 91-100, 2016
Įpareigojimai: National Natural Science Foundation of China
Triple generative adversarial nets
C Li, T Xu, J Zhu, B Zhang
Advances in neural information processing systems 30, 2017
Įpareigojimai: National Natural Science Foundation of China
All are worth words: A vit backbone for diffusion models
F Bao, S Nie, K Xue, Y Cao, C Li, H Su, J Zhu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
Įpareigojimai: National Natural Science Foundation of China
Egsde: Unpaired image-to-image translation via energy-guided stochastic differential equations
M Zhao, F Bao, C Li, J Zhu
NeurIPS 2022, 2022
Įpareigojimai: National Natural Science Foundation of China
On evaluating adversarial robustness of large vision-language models
Y Zhao, T Pang, C Du, X Yang, C Li, NMM Cheung, M Lin
Advances in Neural Information Processing Systems 36, 54111-54138, 2023
Įpareigojimai: A*Star, Singapore
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
F Bao, S Nie, K Xue, C Li, S Pu, Y Wang, G Yue, Y Cao, H Su, J Zhu
ICML, 2023, 2023
Įpareigojimai: National Natural Science Foundation of China
Ordisco: Effective and efficient usage of incremental unlabeled data for semi-supervised continual learning
L Wang, K Yang, C Li, L Hong, Z Li, J Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Įpareigojimai: National Natural Science Foundation of China
Maximum likelihood training for score-based diffusion odes by high order denoising score matching
C Lu, K Zheng, F Bao, J Chen, C Li, J Zhu
International Conference on Machine Learning, 14429-14460, 2022
Įpareigojimai: National Natural Science Foundation of China
Efficient learning of generative models via finite-difference score matching
T Pang, K Xu, C Li, Y Song, S Ermon, J Zhu
Advances in Neural Information Processing Systems 33, 19175-19188, 2020
Įpareigojimai: National Natural Science Foundation of China
Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning
C Lu, H Chen, J Chen, H Su, C Li, J Zhu
International Conference on Machine Learning, 22825-22855, 2023
Įpareigojimai: National Natural Science Foundation of China
Max-margin deep generative models for (semi-) supervised learning
C Li, J Zhu, B Zhang
IEEE transactions on pattern analysis and machine intelligence 40 (11), 2762 …, 2017
Įpareigojimai: US National Science Foundation, National Natural Science Foundation of China
Triple generative adversarial networks
C Li, K Xu, J Zhu, J Liu, B Zhang
IEEE transactions on pattern analysis and machine intelligence 44 (12), 9629 …, 2021
Įpareigojimai: National Natural Science Foundation of China
Learning to generate with memory
C Li, J Zhu, B Zhang
International conference on machine learning, 1177-1186, 2016
Įpareigojimai: National Natural Science Foundation of China
Understanding and stabilizing GANs’ training dynamics using control theory
K Xu, C Li, J Zhu, B Zhang
International conference on machine learning, 10566-10575, 2020
Įpareigojimai: National Natural Science Foundation of China
Controlvideo: Adding conditional control for one shot text-to-video editing
M Zhao, R Wang, F Bao, C Li, J Zhu
arXiv preprint arXiv:2305.17098 2 (3), 2023
Įpareigojimai: National Natural Science Foundation of China
Collaborative filtering with user-item co-autoregressive models
C Du, C Li, Y Zheng, J Zhu, B Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Įpareigojimai: National Natural Science Foundation of China
Leidyklos ir finansavimo informaciją automatiškai nustato kompiuterio programa