| 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 | 13245 | 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 | 1740 | 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 | 1097 | 2020 |
| 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 | 339 | 2021 |
| 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 | 320 | 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 | 307 | 2019 |
| 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 | 270 | 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 | 232 | 2017 |
| 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 | 221 | 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 | 171 | 2017 |
| Robust Pre-Training by Adversarial Contrastive Learning Z Jiang, T Chen, T Chen, Z Wang Advances in Neural Information Processing Systems (NeurIPS), 2020 | 159 | 2020 |
| Pix2seq: A language modeling framework for object detection T Chen, S Saxena, L Li, DJ Fleet, G Hinton International Conference on Learning Representations (ICLR), 2022 | 152 | 2022 |
| 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 | 141* | 2021 |
| Intriguing properties of contrastive losses T Chen, C Luo, L Li Advances in Neural Information Processing Systems (NeurIPS), 2021 | 126 | 2021 |
| Image augmentations for gan training Z Zhao, Z Zhang, T Chen, S Singh, H Zhang arXiv preprint arXiv:2006.02595, 2020 | 119 | 2020 |
| On self modulation for generative adversarial networks T Chen, M Lucic, N Houlsby, S Gelly International Conference on Learning Representations (ICLR), 2018 | 105 | 2018 |
| 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 | 100 | 2016 |
| Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding Z Zhang, H Zhang, L Zhao, T Chen, S Arik, T Pfister AAAI Conference on Artificial Intelligence, 2022 | 90 | 2022 |
| 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 | 87 | 2019 |
| Why Do Better Loss Functions Lead to Less Transferable Features? S Kornblith, T Chen, H Lee, M Norouzi Advances in Neural Information Processing Systems (NeurIPS) 34, 2021 | 84* | 2021 |
Simon KornblithAnthropicVerified email at google.com
