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Kaidi Cao
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Cited by
Year
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
K Cao, C Wei, A Gaidon, N Arechiga, T Ma
Neural Information Processing Systems, 2019
6072019
Pose-robust face recognition via deep residual equivariant mapping
K Cao, Y Rong, C Li, X Tang, C Change Loy
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1352018
Interstellar: Using halide's scheduling language to analyze dnn accelerators
X Yang, M Gao, Q Liu, J Setter, J Pu, A Nayak, S Bell, K Cao, H Ha, ...
Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020
1132020
Few-shot video classification via temporal alignment
K Cao, J Ji, Z Cao, CY Chang, JC Niebles
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1062020
Transgaga: Geometry-aware unsupervised image-to-image translation
W Wu, K Cao, C Li, C Qian, CC Loy
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
882019
CariGANs: Unpaired Photo-to-Caricature Translation
K Cao, J Liao, L Yuan
ACM Transactions on Graphics (TOG) 37 (6), 244, 2018
812018
DNN dataflow choice is overrated
X Yang, M Gao, J Pu, A Nayak, Q Liu, SE Bell, JO Setter, K Cao, H Ha, ...
arXiv preprint arXiv:1809.04070 6, 2018
652018
Delving deep into hybrid annotations for 3d human recovery in the wild
Y Rong, Z Liu, C Li, K Cao, CC Loy
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
522019
Coresets for robust training of deep neural networks against noisy labels
B Mirzasoleiman, K Cao, J Leskovec
Advances in Neural Information Processing Systems 33, 11465-11477, 2020
392020
Learning temporal action proposals with fewer labels
J Ji, K Cao, JC Niebles
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
312019
Heteroskedastic and imbalanced deep learning with adaptive regularization
K Cao, Y Chen, J Lu, N Arechiga, A Gaidon, T Ma
International Conference on Learning Representations, 2020
292020
Concept Learners for Few-Shot Learning
K Cao, M Brbic, J Leskovec
International Conference on Learning Representations, 2020
27*2020
Open-world semi-supervised learning
K Cao, M Brbic, J Leskovec
arXiv preprint arXiv:2102.03526, 2021
222021
Merge or not? learning to group faces via imitation learning
Y He, K Cao, C Li, C Loy
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
212018
Disentangling content and style via unsupervised geometry distillation
W Wu, K Cao, C Li, C Qian, CC Loy
arXiv preprint arXiv:1905.04538, 2019
112019
Deep learning identifies robust gender differences in functional brain organization and their dissociable links to clinical symptoms in autism
K Supekar, C de Los Angeles, S Ryali, K Cao, T Ma, V Menon
The British Journal of Psychiatry 220 (4), 202-209, 2022
62022
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator
T Wu, Q Wang, Y Zhang, R Ying, K Cao, R Sosic, R Jalali, H Hamam, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
12022
High Resolution Single Cell Maps Reveals Distinct Cell Organization and Function Across Different Regions of the Human Intestine
JW Hickey, WR Becker, SA Nevins, AM Horning, AE Perez, R Chiu, ...
bioRxiv, 2021
12021
Learning Backward Compatible Embeddings
W Hu, R Bansal, K Cao, N Rao, K Subbian, J Leskovec
arXiv preprint arXiv:2206.03040, 2022
2022
Relational Multi-Task Learning: Modeling Relations between Data and Tasks
K Cao, J You, J Leskovec
International Conference on Learning Representations, 2021
2021
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Articles 1–20