Tianlong Chen
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Año
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
1172019
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
312020
When Does Self-Supervision Help Graph Convolutional Networks?
Y You, T Chen, Z Wang, Y Shen
International Conference on Machine Learning (ICML), 2020
192020
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
162020
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
162020
Learning to Optimize in Swarms
Y Cao, T Chen, Z Wang, Y Shen
Advances in Neural Information Processing Systems (NeurIPS), 2019
162019
Triple wins: Boosting accuracy, robustness and efficiency together by enabling input-adaptive inference
TK Hu, T Chen, H Wang, Z Wang
International Conference on Learning Representation (ICLR), 2020
142020
AutoSpeech: Neural Architecture Search for Speaker Recognition
S Ding, T Chen, X Gong, W Zha, Z Wang
International Speech Communication Association (InterSpeech), 2020
112020
L^ 2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Y You, T Chen, Z Wang, Y Shen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
112020
Robust Pre-Training by Adversarial Contrastive Learning
Z Jiang, T Chen, T Chen, Z Wang
Advances in Neural Information Processing Systems (NeurIPS), 2020
102020
HALO: Hardware-Aware Learning to Optimize
C Li, T Chen, H You, Z Wang, Y Lin
European Conference on Computer Vision (ECCV), 2020
102020
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
X Chen, W Chen, T Chen, Y Yuan, C Gong, K Chen, Z Wang
International Conference on Machine Learning (ICML), 2020
82020
Calibrated domain-invariant learning for highly generalizable large scale re-identification
Y Yuan, W Chen, T Chen, Y Yang, Z Ren, Z Wang, G Hua
The IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
72020
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
52021
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
32021
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively
H Wang, T Chen, Z Wang, K Ma
International Conference on Learning Representation (ICLR), 2020
32020
VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms
TK Hu, F Gama, T Chen, Z Wang, A Ribeiro, BM Sadler
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
32020
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free
HN Wang, T Chen, S Gui, TK Hu, J Liu, Z Wang
Advances in Neural Information Processing Systems (NeurIPS), 2020
32020
Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing
X Yu, T Chen, Z Yu, H Li, Y Yang, X Jiang, A Jiang
Language Resources and Evaluation Conference (LREC), 2020
22020
Training Stronger Baselines for Learning to Optimize
T Chen, W Zhang, Z Jingyang, S Chang, S Liu, L Amini, Z Wang
Advances in Neural Information Processing Systems (NeurIPS), 2020
22020
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