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Yingyu Liang
Yingyu Liang
University of Hong Kong
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Cited by
Cited by
Year
A simple but tough-to-beat baseline for sentence embeddings
S Arora, Y Liang, T Ma
International conference on learning representations, 2017
16302017
Learning and generalization in overparameterized neural networks, going beyond two layers
Z Allen-Zhu, Y Li, Y Liang
Advances in neural information processing systems 32, 2019
8152019
Generalization and equilibrium in generative adversarial nets (gans)
S Arora, R Ge, Y Liang, T Ma, Y Zhang
International conference on machine learning, 224-232, 2017
7862017
Learning overparameterized neural networks via stochastic gradient descent on structured data
Y Li, Y Liang
Advances in neural information processing systems 31, 2018
6952018
A latent variable model approach to pmi-based word embeddings
S Arora, Y Li, Y Liang, T Ma, A Risteski
Transactions of the Association for Computational Linguistics 4, 385-399, 2016
6032016
Learning relationships between text, audio, and video via deep canonical correlation for multimodal language analysis
Z Sun, P Sarma, W Sethares, Y Liang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8992-8999, 2020
2752020
Linear algebraic structure of word senses, with applications to polysemy
S Arora, Y Li, Y Liang, T Ma, A Risteski
Transactions of the Association for Computational Linguistics 6, 483-495, 2018
2572018
Scalable kernel methods via doubly stochastic gradients
B Dai, B Xie, N He, Y Liang, A Raj, MFF Balcan, L Song
Advances in neural information processing systems 27, 2014
2542014
Distributed -means and -median Clustering on General Topologies
MFF Balcan, S Ehrlich, Y Liang
Advances in neural information processing systems 26, 2013
2152013
N-gram graph: Simple unsupervised representation for graphs, with applications to molecules
S Liu, MF Demirel, Y Liang
Advances in neural information processing systems 32, 2019
1702019
Robust hierarchical clustering
MF Balcan, Y Liang, P Gupta
The Journal of Machine Learning Research 15 (1), 3831-3871, 2014
1662014
Improved distributed principal component analysis
Y Liang, MFF Balcan, V Kanchanapally, D Woodruff
Advances in neural information processing systems 27, 2014
1602014
Diverse neural network learns true target functions
B Xie, Y Liang, L Song
Artificial Intelligence and Statistics, 1216-1224, 2017
151*2017
Loss-balanced task weighting to reduce negative transfer in multi-task learning
S Liu, Y Liang, A Gitter
Proceedings of the AAAI conference on artificial intelligence 33 (01), 9977-9978, 2019
1272019
Atom: Robustifying out-of-distribution detection using outlier mining
J Chen, Y Li, X Wu, Y Liang, S Jha
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
1232021
Clustering under perturbation resilience
MF Balcan, Y Liang
SIAM Journal on Computing 45 (1), 102-155, 2016
1182016
A la carte embedding: Cheap but effective induction of semantic feature vectors
M Khodak, N Saunshi, Y Liang, T Ma, B Stewart, S Arora
arXiv preprint arXiv:1805.05388, 2018
1172018
Influence function learning in information diffusion networks
N Du, Y Liang, M Balcan, L Song
International Conference on Machine Learning, 2016-2024, 2014
1112014
Differentially private clustering in high-dimensional euclidean spaces
MF Balcan, T Dick, Y Liang, W Mou, H Zhang
International Conference on Machine Learning, 322-331, 2017
912017
Robust out-of-distribution detection for neural networks
J Chen, Y Li, X Wu, Y Liang, S Jha
arXiv preprint arXiv:2003.09711, 2020
832020
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Articles 1–20