Ruitong Huang
Ruitong Huang
Borealis AI
Verifierad e-postadress på ualberta.ca
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Learning with a strong adversary
R Huang, B Xu, D Schuurmans, C Szepesvári
arXiv preprint arXiv:1511.03034, 2015
1822015
Revise Saturated Activation Functions
B Xu, R Huang, M Li
arXiv preprint arXiv:1602.05980, 2016
362016
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions.
X Zhang, Y Yu, M White, R Huang, D Schuurmans
AAAI, 2011
342011
On the sensitivity of adversarial robustness to input data distributions
GW Ding, KYC Lui, X Jin, L Wang, R Huang
International Conference on Learning Representations, 2019
152019
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
142018
Improving GAN training via binarized representation entropy (BRE) regularization
Y Cao, GW Ding, KYC Lui, R Huang
arXiv preprint arXiv:1805.03644, 2018
122018
Anchored Speech Detection.
R Maas, SHK Parthasarathi, B King, R Huang, B Hoffmeister
INTERSPEECH 16, 2963-2967, 2016
122016
Structured best arm identification with fixed confidence
R Huang, MM Ajallooeian, C Szepesvári, M Müller
arXiv preprint arXiv:1706.05198, 2017
112017
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
102016
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
J Wen, Y Cao, R Huang
arXiv preprint arXiv:1812.00543, 2018
62018
Adversarial robustness of pruned neural networks
L Wang, GW Ding, R Huang, Y Cao, YC Lui
62018
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
52017
A finite-sample generalization bound for semiparametric regression: Partially linear models
R Huang, C Szepesvári
Artificial Intelligence and Statistics, 402-410, 2014
52014
Learning with a strong adversary. 2015
R Huang, B Xu, D Schuurmans, C Szepesvári
Preprint arXiv 1511, 0
5
Maximum entropy monte-carlo planning
C Xiao, R Huang, J Mei, D Schuurmans, M Müller
Advances in Neural Information Processing Systems, 9520-9528, 2019
42019
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
GW Ding, Y Sharma, KYC Lui, R Huang
International Conference on Learning Representations, 2019
32019
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
32019
Deterministic independent component analysis
R Huang, A Gyorgy, C Szepesvári
International Conference on Machine Learning, 2521-2530, 2015
32015
Learning with a Strong Adversary. CoRR abs/1511.03034 (2015)
R Huang, B Xu, D Schuurmans, C Szepesvári
arXiv preprint arXiv:1511.03034, 2015
32015
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
22018
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Artiklar 1–20