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Ting Chen
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Year
A simple framework for contrastive learning of visual representations
T Chen, S Kornblith, M Norouzi, G Hinton
International Conference on Machine Learning (ICML), 1597-1607, 2020
61142020
Big self-supervised models are strong semi-supervised learners
T Chen, S Kornblith, K Swersky, M Norouzi, G Hinton
Advances in Neural Information Processing Systems (NeurIPS), 2020
9802020
Graph contrastive learning with augmentations
Y You, T Chen, Y Sui, T Chen, Z Wang, Y Shen
Advances in Neural Information Processing Systems (NeurIPS) 33, 5812-5823, 2020
4392020
Social Influence Locality for Modeling Retweeting Behaviors.
J Zhang, B Liu, J Tang, T Chen, J Li
International Joint Conference on Artificial Intelligence (IJCAI), 2013
2892013
Self-Supervised GANs via Auxiliary Rotation Loss
T Chen, X Zhai, M Ritter, M Lucic, N Houlsby
Conference on Computer Vision and Pattern Recognition (CVPR), 12154-12163, 2019
2262019
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
T Chen, Y Sun
International Conference on Web Search and Data Mining (WSDM), 2017
2062017
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
Y Bai, H Ding, S Bian, T Chen, Y Sun, W Wang
International Conference on Web Search and Data Mining (WSDM), 2019
1782019
Big self-supervised models advance medical image classification
S Azizi, B Mustafa, F Ryan, Z Beaver, J Freyberg, J Deaton, A Loh, ...
International Conference on Computer Vision (ICCV), 3478-3488, 2021
1262021
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
KL Hermann, T Chen, S Kornblith
Advances in Neural Information Processing Systems (NeurIPS), 2020
1112020
On sampling strategies for neural network-based collaborative filtering
T Chen, Y Sun, Y Shi, L Hong
ACM International Conference on Knowledge Discovery and Data Mining (KDD …, 2017
1102017
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events
T Chen, LA Tang, Y Sun, Z Chen, K Zhang
International Joint Conference on Artificial Intelligence (IJCAI), 2016
862016
Robust Pre-Training by Adversarial Contrastive Learning
Z Jiang, T Chen, T Chen, Z Wang
Advances in Neural Information Processing Systems (NeurIPS), 2020
822020
On self modulation for generative adversarial networks
T Chen, M Lucic, N Houlsby, S Gelly
International Conference on Learning Representations (ICLR), 2018
822018
Image augmentations for gan training
Z Zhao, Z Zhang, T Chen, S Singh, H Zhang
arXiv preprint arXiv:2006.02595, 2020
812020
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations
T Chen, MR Min, Y Sun
International Conference on Machine Learning (ICML), 2018
652018
Intriguing properties of contrastive losses
T Chen, C Luo, L Li
Advances in Neural Information Processing Systems (NeurIPS), 2020
552020
Unsupervised inductive graph-level representation learning via graph-graph proximity
Y Bai, H Ding, Y Qiao, A Marinovic, K Gu, T Chen, Y Sun, W Wang
International Joint Conference on Artificial Intelligence (IJCAI), 1988-1994, 2019
552019
Heteromed: Heterogeneous information network for medical diagnosis
A Hosseini, T Chen, W Wu, Y Sun, M Sarrafzadeh
International Conference on Information and Knowledge Management (CIKM), 763-772, 2018
542018
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Z Hu, T Chen, KW Chang, Y Sun
Association for Computational Linguistics (ACL), 2019
532019
Self-supervised Learning for Large-scale Item Recommendations
T Yao, X Yi, DZ Cheng, F Yu, T Chen, A Menon, L Hong, EH Chi, S Tjoa, ...
International Conference on Information and Knowledge Management (CIKM), 2021
45*2021
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