Ting Chen
Title
Cited by
Cited by
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
23112020
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
3872020
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
2502013
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
1752017
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
1442019
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
1052019
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
1002020
On self modulation for generative adversarial networks
T Chen, M Lucic, N Houlsby, S Gelly
International Conference on Learning Representations (ICLR), 2018
892018
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
702017
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
702016
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations
T Chen, MR Min, Y Sun
International Conference on Machine Learning (ICML), 2018
562018
Image augmentations for GAN training
Z Zhao, Z Zhang, T Chen, S Singh, H Zhang
arXiv preprint arXiv:2006.02595, 2020
422020
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
422020
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
36*2019
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
332018
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Z Hu, T Chen, KW Chang, Y Sun
Association for Computational Linguistics (ACL), 2019
322019
Robust Pre-Training by Adversarial Contrastive Learning.
Z Jiang, T Chen, T Chen, Z Wang
Advances in Neural Information Processing Systems, 2020
272020
Are powerful graph neural nets necessary? a dissection on graph classification
T Chen, S Bian, Y Sun
arXiv preprint arXiv:1905.04579, 2019
252019
Big self-supervised models advance medical image classification
S Azizi, B Mustafa, F Ryan, Z Beaver, J Freyberg, J Deaton, A Loh, ...
arXiv preprint arXiv:2101.05224, 2021
242021
Joint text embedding for personalized content-based recommendation
T Chen, L Hong, Y Shi, Y Sun
arXiv preprint arXiv:1706.01084, 2017
222017
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Articles 1–20