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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
188542020
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
22352020
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
17462020
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
5022021
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
3522019
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
3512019
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
3282013
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
2912020
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
2782022
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
2482017
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
211*2021
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
2082017
Robust Pre-Training by Adversarial Contrastive Learning
Z Jiang, T Chen, T Chen, Z Wang
Advances in Neural Information Processing Systems (NeurIPS), 2020
2072020
Analog bits: Generating discrete data using diffusion models with self-conditioning
T Chen, R Zhang, G Hinton
International Conference on Learning Representations (ICLR), 2022
1632022
Intriguing properties of contrastive losses
T Chen, C Luo, L Li
Advances in Neural Information Processing Systems (NeurIPS), 2021
1622021
Image augmentations for gan training
Z Zhao, Z Zhang, T Chen, S Singh, H Zhang
arXiv preprint arXiv:2006.02595, 2020
1442020
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
1382022
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ...
Nature Biomedical Engineering 7 (6), 756-779, 2023
130*2023
A simple framework for contrastive learning of visual representations. arXiv 2020
T Chen, S Kornblith, M Norouzi, G Hinton
arXiv preprint arXiv:2002.05709, 2020
1252020
On self modulation for generative adversarial networks
T Chen, M Lucic, N Houlsby, S Gelly
International Conference on Learning Representations (ICLR), 2018
1242018
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