Kuan Liu
Title
Cited by
Cited by
Year
How to scale up kernel methods to be as good as deep neural nets
Z Lu, A May, K Liu, AB Garakani, D Guo, A Bellet, L Fan, M Collins, ...
arXiv preprint arXiv:1411.4000, 2014
48*2014
Learn to combine modalities in multimodal deep learning
K Liu, Y Li, N Xu, P Natarajan
arXiv preprint arXiv:1805.11730, 2018
342018
Similarity learning for high-dimensional sparse data
K Liu, A Bellet, F Sha
292015
Similarity component analysis
S Changpinyo, K Liu, F Sha
Advances in neural information processing systems, 1511-1519, 2013
262013
Kernel approximation methods for speech recognition
A May, AB Garakani, Z Lu, D Guo, K Liu, A Bellet, L Fan, M Collins, D Hsu, ...
arXiv preprint arXiv:1701.03577, 2017
18*2017
Temporal learning and sequence modeling for a job recommender system
K Liu, X Shi, A Kumar, L Zhu, P Natarajan
Proceedings of the Recommender Systems Challenge, 1-4, 2016
162016
A comparison between deep neural nets and kernel acoustic models for speech recognition
Z Lu, D Quo, AB Garakani, K Liu, A May, A Bellet, L Fan, M Collins, ...
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
112016
Fei Sha. How to scale up kernel methods to be as good as deep neural nets
Z Lu, A May, K Liu, AB Garakani, D Guo, A Bellet, L Fan, M Collins, ...
arXiv preprint arXiv:1411.4000, 2014
102014
A Sequential Embedding Approach for Item Recommendation with Heterogeneous Attributes
K Liu, X Shi, P Natarajan
arXiv preprint arXiv:1805.11008, 2018
62018
Kernel Approximation Methods for Speech Recognition.
A May, AB Garakani, Z Lu, D Guo, K Liu, A Bellet, L Fan, M Collins, D Hsu, ...
J. Mach. Learn. Res. 20, 59:1-59:36, 2019
42019
WMRB: Learning to Rank in a Scalable Batch Training Approach
K Liu, P Natarajan
Recsys 2017: 11th ACM Conference on Recommender Systems, 2017
42017
A Batch Learning Framework for Scalable Personalized Ranking
K Liu, P Natarajan
AAAI 2018: Thirty-Second AAAI conference on Artificial Intelligence, 2018
32018
The brain uses reliability of stimulus information when making perceptual decisions
S Bitzer, S Kiebel
Advances in Neural Information Processing Systems, 1045-1053, 2015
32015
Escaping the curse of dimensionality in similarity learning: Efficient Frank-Wolfe algorithm and generalization bounds
K Liu, A Bellet
Neurocomputing 333, 185-199, 2019
22019
Sequential Heterogeneous Attribute Embedding for Item Recommendation
K Liu, X Shi, P Natarajan
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 773-780, 2017
22017
Kernel Approximation Methods for Speech Recognition
AB Garakani, A May, B Kingsbury, D Hsu, D Guo, F Sha, K Liu, L Fan, ...
2019
Scalable Machine Learning Algorithms for Item Recommendation
K Liu
University of Southern California, 2018
2018
The system can't perform the operation now. Try again later.
Articles 1–17