Ruitong Huang
Ruitong Huang
Borealis AI
Verifierad e-postadress på ualberta.ca
TitelCiteras avÅr
Learning with a strong adversary
R Huang, B Xu, D Schuurmans, C Szepesvári
arXiv preprint arXiv:1511.03034, 2015
138*2015
Convex sparse coding, subspace learning, and semi-supervised extensions
X Zhang, Y Yu, M White, R Huang, D Schuurmans
Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
322011
Revise Saturated Activation Functions
B Xu, R Huang, M Li
arXiv preprint arXiv:1602.05980, 2016
232016
Anchored Speech Detection.
R Maas, SHK Parthasarathi, B King, R Huang, B Hoffmeister
INTERSPEECH 16, 2963-2967, 2016
122016
On the sensitivity of adversarial robustness to input data distributions
GW Ding, KYC Lui, X Jin, L Wang, R Huang
arXiv preprint arXiv:1902.08336 2, 2019
102019
Structured best arm identification with fixed confidence
R Huang, MM Ajallooeian, C Szepesvári, M Müller
arXiv preprint arXiv:1706.05198, 2017
92017
Improving GAN training via binarized representation entropy (BRE) regularization
Y Cao, GW Ding, KYC Lui, R Huang
arXiv preprint arXiv:1805.03644, 2018
82018
Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training
GW Ding, Y Sharma, KYC Lui, R Huang
arXiv preprint arXiv:1812.02637, 2018
62018
Following the leader and fast rates in linear prediction: Curved constraint sets and other regularities
R Huang, T Lattimore, A György, C Szepesvári
Advances in Neural Information Processing Systems, 4970-4978, 2016
62016
A finite-sample generalization bound for semiparametric regression: Partially linear models
R Huang, C Szepesvári
Artificial Intelligence and Statistics, 402-410, 2014
52014
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
J Wen, Y Cao, R Huang
arXiv preprint arXiv:1812.00543, 2018
22018
Following the leader and fast rates in online linear prediction: curved constraint sets and other regularities
R Huang, T Lattimore, A György, C Szepesvári
The Journal of Machine Learning Research 18 (1), 5325-5355, 2017
22017
Deterministic independent component analysis
R Huang, A Gyorgy, C Szepesvári
International Conference on Machine Learning, 2521-2530, 2015
22015
Easy data for independent component analysis
R Huang, A György, C Szepesvári
Workshop” Learning Faster from Easy Data II”, Advances in Neural Information …, 2015
12015
On principled entropy exploration in policy optimization
J Mei, C Xiao, R Huang, D Schuurmans, M Müller
Proceedings of the 28th International Joint Conference on Artificial …, 2019
2019
Robust pruned neural networks via adversarial training
L Wang, W Ding, R Huang, CAO Yanshuai, YC Lui
US Patent App. 16/270,373, 2019
2019
System and method for improved neural network training
CAO Yanshuai, YC LUI, W Ding, R HUANG
US Patent App. 16/172,451, 2019
2019
Method and device for conducting measurements for an n-dimensional data structure
W Ding, R Huang, L Wang, CAO Yanshuai
US Patent App. 16/177,010, 2019
2019
Maximum Entropy Monte-Carlo Planning
C Xiao, R Huang, J Mei, D Schuurmans, M Müller
Advances in Neural Information Processing Systems, 9516-9524, 2019
2019
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
K Lui, GW Ding, R Huang, R McCann
Advances in Neural Information Processing Systems, 8453-8463, 2018
2018
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Artiklar 1–20