| 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 | 8866 | 2020 |
| 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 | 1253 | 2020 |
| 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 | 626 | 2020 |
| 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 | 300 | 2013 |
| 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 | 255 | 2019 |
| 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 | 218 | 2017 |
| 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 | 207 | 2019 |
| 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 | 196 | 2021 |
| 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 | 153 | 2020 |
| 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 | 130 | 2017 |
| Robust Pre-Training by Adversarial Contrastive Learning Z Jiang, T Chen, T Chen, Z Wang Advances in Neural Information Processing Systems (NeurIPS), 2020 | 110 | 2020 |
| Image augmentations for gan training Z Zhao, Z Zhang, T Chen, S Singh, H Zhang arXiv preprint arXiv:2006.02595, 2020 | 101 | 2020 |
| 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 | 90 | 2016 |
| On self modulation for generative adversarial networks T Chen, M Lucic, N Houlsby, S Gelly International Conference on Learning Representations (ICLR), 2018 | 89 | 2018 |
| Intriguing properties of contrastive losses T Chen, C Luo, L Li Advances in Neural Information Processing Systems (NeurIPS), 2020 | 84 | 2020 |
| Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations T Chen, MR Min, Y Sun International Conference on Machine Learning (ICML), 2018 | 74 | 2018 |
| Pix2seq: A language modeling framework for object detection T Chen, S Saxena, L Li, DJ Fleet, G Hinton arXiv preprint arXiv:2109.10852, 2021 | 73 | 2021 |
| 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 | 69* | 2021 |
| 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 | 66 | 2019 |
| Few-Shot Representation Learning for Out-Of-Vocabulary Words Z Hu, T Chen, KW Chang, Y Sun Association for Computational Linguistics (ACL), 2019 | 59 | 2019 |
Simon KornblithGoogle BrainVerified email at google.com
