| Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss K Cao, C Wei, A Gaidon, N Arechiga, T Ma Neural Information Processing Systems, 2019 | 1657 | 2019 |
| 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 | 360* | 2020 |
| 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 | 258 | 2020 |
| 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 | 176 | 2018 |
| 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 | 129 | 2020 |
| 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 | 128 | 2019 |
| CariGANs: Unpaired Photo-to-Caricature Translation K Cao, J Liao, L Yuan ACM Transactions on Graphics (TOG) 37 (6), 244, 2018 | 124 | 2018 |
| Organization of the human intestine at single-cell resolution JW Hickey, WR Becker, SA Nevins, A Horning, AE Perez, C Zhu, B Zhu, ... Nature 619 (7970), 572-584, 2023 | 101* | 2023 |
| Concept Learners for Few-Shot Learning K Cao, M Brbic, J Leskovec International Conference on Learning Representations, 2020 | 90 | 2020 |
| 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 | 76 | 2020 |
| 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 | 71 | 2019 |
| Annotation of spatially resolved single-cell data with STELLAR M Brbić, K Cao, JW Hickey, Y Tan, MP Snyder, GP Nolan, J Leskovec Nature Methods 19 (11), 1411-1418, 2022 | 64 | 2022 |
| Learning temporal action proposals with fewer labels J Ji, K Cao, JC Niebles Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 45 | 2019 |
| 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 | 41 | 2022 |
| 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 | 24 | 2018 |
| 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 | 21 | 2022 |
| Learning backward compatible embeddings W Hu, R Bansal, K Cao, N Rao, K Subbian, J Leskovec Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 18 | 2022 |
| Disentangling content and style via unsupervised geometry distillation W Wu, K Cao, C Li, C Qian, CC Loy arXiv preprint arXiv:1905.04538, 2019 | 18 | 2019 |
| Relational multi-task learning: Modeling relations between data and tasks K Cao, J You, J Leskovec arXiv preprint arXiv:2303.07666, 2023 | 13 | 2023 |
| TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs P Mangpo Phothilimthana, S Abu-El-Haija, K Cao, B Fatemi, M Burrows, ... arXiv e-prints, arXiv: 2308.13490, 2023 | 12* | 2023 |
Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
