עקוב אחר
Tianlong Chen
Tianlong Chen
Assistant Professor, CS@UNC Chapel Hill; PostDoc, CSAIL@MIT+BMI@Harvard; Ph.D., ECE@UT Austin
כתובת אימייל מאומתת בדומיין cs.unc.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Graph Contrastive Learning with Augmentations‏
Y You, T Chen, Y Sui, T Chen, Z Wang, Y Shen‏
Advances in Neural Information Processing Systems (NeurIPS), 2020‏
24672020
Abd-net: Attentive but diverse person re-identification‏
T Chen, S Ding, J Xie, Y Yuan, W Chen, Y Yang, Z Ren, Z Wang‏
IEEE International Conference on Computer Vision (ICCV), 2019‏
6522019
Graph Contrastive Learning Automated‏
Y You, T Chen, Y Shen, Z Wang‏
International Conference on Machine Learning (ICML), 2021‏
5632021
The Lottery Ticket Hypothesis for Pre-trained BERT Networks‏
T Chen, J Frankle, S Chang, S Liu, Y Zhang, Z Wang, M Carbin‏
Advances in Neural Information Processing Systems (NeurIPS), 2020‏
4102020
H O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models‏
Z Zhang, Y Sheng, T Zhou, T Chen, L Zheng, R Cai, Z Song, Y Tian, C Ré, ...‏
Advances in Neural Information Processing Systems (NeurIPS), 2023‏
3432023
Trustllm: Trustworthiness in large language models‏
Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ...‏
International Conference on Machine Learning (ICML Position Paper), 2024‏
337*2024
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning‏
T Chen, S Liu, S Chang, Y Cheng, L Amini, Z Wang‏
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020‏
2852020
Learning to optimize: A primer and a benchmark‏
T Chen, X Chen, W Chen, H Heaton, J Liu, Z Wang, W Yin‏
Journal of Machine Learning Research (JMLR), 2021‏
2732021
When Does Self-Supervision Help Graph Convolutional Networks?‏
Y You, T Chen, Z Wang, Y Shen‏
International Conference on Machine Learning (ICML), 2020‏
2682020
Robust Pre-Training by Adversarial Contrastive Learning‏
Z Jiang, T Chen, T Chen, Z Wang‏
Advances in Neural Information Processing Systems (NeurIPS), 2020‏
2522020
Chasing Sparsity in Vision Transformers: An End-to-End Exploration‏
T Chen, Y Cheng, Z Gan, L Yuan, L Zhang, Z Wang‏
Advances in Neural Information Processing Systems (NeurIPS), 2021‏
2302021
Robust overfitting may be mitigated by properly learned smoothening‏
T Chen, Z Zhang, S Liu, S Chang, Z Wang‏
International Conference on Learning Representation (ICLR), 2021‏
2222021
More convnets in the 2020s: Scaling up kernels beyond 51x51 using sparsity‏
S Liu, T Chen, X Chen, X Chen, Q Xiao, B Wu, M Pechenizkiy, D Mocanu, ...‏
International Conference on Learning Representations (ICLR), 2023‏
2212023
A Unified Lottery Ticket Hypothesis for Graph Neural Networks‏
T Chen, Y Sui, X Chen, A Zhang, Z Wang‏
International Conference on Machine Learning (ICML), 2021‏
2112021
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice‏
P Wang, W Zheng, T Chen, Z Wang‏
International Conference on Learning Representations (ICLR), 2022‏
1492022
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models‏
T Chen, J Frankle, S Chang, S Liu, Y Zhang, M Carbin, Z Wang‏
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021‏
1422021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration‏
S Liu, T Chen, X Chen, Z Atashgahi, L Yin, H Kou, L Shen, M Pechenizkiy, ...‏
Advances in Neural Information Processing Systems (NeurIPS), 2021‏
1392021
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training‏
S Liu, T Chen, X Chen, L Shen, DC Mocanu, Z Wang, M Pechenizkiy‏
International Conference on Learning Representations (ICLR), 2022‏
1302022
Unified Visual Transformer Compression‏
S Yu, T Chen, J Shen, H Yuan, J Tan, S Yang, J Liu, Z Wang‏
International Conference on Learning Representations (ICLR), 2021‏
1242021
Is Attention All NeRF Needs?‏
M Varma T, P Wang, X Chen, T Chen, S Venugopalan, Z Wang‏
International Conference on Learning Representations (ICLR), 2023‏
117*2023
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–20