مقالههای دارای تعهدات انتشار عمومی - Qiang Liuبیشتر بدانید
جای دیگری دردسترس است: ۶۰
Stein variational gradient descent: A general purpose Bayesian inference algorithm
Q Liu, D Wang
Advances In Neural Information Processing Systems, 2370-2378, 2016
تعهدات: US National Science Foundation
A kernelized Stein discrepancy for goodness-of-fit tests
Q Liu, J Lee, M Jordan
International conference on machine learning, 276-284, 2016
تعهدات: US National Science Foundation
Breaking the curse of horizon: Infinite-horizon off-policy estimation
Q Liu, L Li, Z Tang, D Zhou
arXiv preprint arXiv:1810.12429, 2018
تعهدات: US National Science Foundation
Conflict-Averse Gradient Descent for Multi-task Learning
B Liu, X Liu, X Jin, P Stone, Q Liu
arXiv preprint arXiv:2110.14048, 2021
تعهدات: US National Science Foundation, US Department of Defense
Stein variational gradient descent as gradient flow
Q Liu
Advances in neural information processing systems, 3115-3123, 2017
تعهدات: US National Science Foundation
Brain and muscle Arnt-like protein-1 (BMAL1) controls circadian cell proliferation and susceptibility to UVB-induced DNA damage in the epidermis
M Geyfman, V Kumar, Q Liu, R Ruiz, W Gordon, F Espitia, E Cam, ...
Proceedings of the National Academy of Sciences 109 (29), 11758-11763, 2012
تعهدات: US National Institutes of Health, Howard Hughes Medical Institute
Regularization matters: Generalization and optimization of neural nets vs their induced kernel
C Wei, JD Lee, Q Liu, T Ma
Advances in Neural Information Processing Systems, 9709-9721, 2019
تعهدات: US National Science Foundation, US Department of Defense, UK Engineering and …
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
C Gong, D Wang, M Li, V Chandra, Q Liu
arXiv preprint arXiv:2011.11778, 2020
تعهدات: US National Science Foundation
Practical human sensing in the light
T Li, Q Liu, X Zhou
Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016
تعهدات: US National Science Foundation
Improving Neural Language Modeling via Adversarial Training
D Wang, C Gong, Q Liu
arXiv preprint arXiv:1906.03805, 2019
تعهدات: US National Science Foundation
Diffusion-based Molecule Generation with Informative Prior Bridges
L Wu, C Gong, X Liu, M Ye, Q Liu
arXiv preprint arXiv:2209.00865, 2022
تعهدات: US National Science Foundation
Certified Monotonic Neural Networks
X Liu, X Han, N Zhang, Q Liu
Advances in Neural Information Processing Systems 33, 2020
تعهدات: US National Science Foundation
Learning scale free networks by reweighted l1 regularization
Q Liu, A Ihler
Proceedings of the Fourteenth International Conference on Artificial …, 2011
تعهدات: US National Institutes of Health
Time-restricted feeding shifts the skin circadian clock and alters UVB-induced DNA damage
H Wang, E van Spyk, Q Liu, M Geyfman, ML Salmans, V Kumar, A Ihler, ...
Cell reports 20 (5), 1061-1072, 2017
تعهدات: US National Science Foundation, US National Institutes of Health, Howard …
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training
C Gong, D Wang, M Li, X Chen, Z Yan, Y Tian, V Chandra
International Conference on Learning Representations, 2021
تعهدات: US National Science Foundation
Differentiating Higher and Lower Job Performers in the Workplace Using Mobile Sensing
S Mirjafari, K Masaba, T Grover, W Wang, P Audia, AT Campbell, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019
تعهدات: US Department of Defense, US Office of the Director of National Intelligence
Stein’s method meets computational statistics: a review of some recent developments
A Anastasiou, A Barp, FX Briol, B Ebner, RE Gaunt, F Ghaderinezhad, ...
Statistical Science 38 (1), 120-139, 2023
تعهدات: US National Science Foundation, National Fund for Scientific Research …
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
B Liu, M Ye, S Wright, P Stone, Q Liu
Advances in Neural Information Processing Systems 35, 17248-17262, 2022
تعهدات: US National Science Foundation, US Department of Defense
The Tesserae Project: Large-Scale, Longitudinal, In Situ, Multimodal Sensing of Information Workers
SM Mattingly, JM Gregg, P Audia, AE Bayraktaroglu, AT Campbell, ...
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019
تعهدات: US Department of Defense, US Office of the Director of National Intelligence
MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training
C Gong, T Ren, M Ye, Q Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
تعهدات: US National Science Foundation
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