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2020 – today
- 2024
[i26]Weihua Hu, Yiwen Yuan
, Zecheng Zhang, Akihiro Nitta, Kaidi Cao, Vid Kocijan, Jure Leskovec, Matthias Fey:
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning. CoRR abs/2404.00776 (2024)- [i25]Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec:
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. CoRR abs/2404.13207 (2024) - [i24]Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou:
AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. CoRR abs/2406.11200 (2024) - 2023
- [c19]Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec:
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. ICLR 2023 - [c18]Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi:
Learning Large Graph Property Prediction via Graph Segment Training. NeurIPS 2023 - [c17]Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi:
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. NeurIPS 2023 - [i23]Kaidi Cao, Jiaxuan You, Jure Leskovec:
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. CoRR abs/2303.07666 (2023) - [i22]Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec:
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. CoRR abs/2303.07669 (2023) - [i21]Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi:
Learning Large Graph Property Prediction via Graph Segment Training. CoRR abs/2305.12322 (2023) - [i20]Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec:
Communication-Free Distributed GNN Training with Vertex Cut. CoRR abs/2308.03209 (2023) - [i19]Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi:
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. CoRR abs/2308.13490 (2023) - [i18]Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec:
GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts. CoRR abs/2312.04693 (2023) - 2022
- [c16]Kaidi Cao, Maria Brbic, Jure Leskovec:
Open-World Semi-Supervised Learning. ICLR 2022 - [c15]Kaidi Cao, Jiaxuan You, Jure Leskovec:
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. ICLR 2022 - [c14]Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec:
Learning Backward Compatible Embeddings. KDD 2022: 3018-3028 - [c13]Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec:
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. KDD 2022: 4184-4194 - [i17]Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec:
Learning Backward Compatible Embeddings. CoRR abs/2206.03040 (2022) - [i16]Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec:
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. CoRR abs/2206.07680 (2022) - [i15]Weihua Hu, Kaidi Cao, Kexin Huang, Edward W. Huang, Karthik Subbian, Jure Leskovec:
TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks. CoRR abs/2210.14843 (2022) - 2021
- [c12]Kaidi Cao, Maria Brbic, Jure Leskovec:
Concept Learners for Few-Shot Learning. ICLR 2021 - [c11]Kaidi Cao, Yining Chen, Junwei Lu, Nikos Aréchiga, Adrien Gaidon, Tengyu Ma:
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization. ICLR 2021 - [i14]Kaidi Cao, Maria Brbic, Jure Leskovec:
Open-World Semi-Supervised Learning. CoRR abs/2102.03526 (2021) - 2020
- [c10]Xuan Yang, Mingyu Gao, Qiaoyi Liu, Jeff Setter, Jing Pu, Ankita Nayak, Steven Bell, Kaidi Cao, Heonjae Ha, Priyanka Raina, Christos Kozyrakis, Mark Horowitz:
Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators. ASPLOS 2020: 369-383 - [c9]Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles:
Few-Shot Video Classification via Temporal Alignment. CVPR 2020: 10615-10624 - [c8]Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec:
Coresets for Robust Training of Deep Neural Networks against Noisy Labels. NeurIPS 2020 - [i13]Kaidi Cao, Yining Chen, Junwei Lu, Nikos Aréchiga, Adrien Gaidon, Tengyu Ma:
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization. CoRR abs/2006.15766 (2020) - [i12]Kaidi Cao, Maria Brbic, Jure Leskovec:
Concept Learners for Generalizable Few-Shot Learning. CoRR abs/2007.07375 (2020) - [i11]Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec:
Coresets for Robust Training of Neural Networks against Noisy Labels. CoRR abs/2011.07451 (2020)
2010 – 2019
- 2019
- [c7]Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy:
TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation. CVPR 2019: 8012-8021 - [c6]Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy:
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild. ICCV 2019: 5339-5347 - [c5]Jingwei Ji, Kaidi Cao, Juan Carlos Niebles:
Learning Temporal Action Proposals With Fewer Labels. ICCV 2019: 7072-7081 - [c4]Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy:
Disentangling Content and Style via Unsupervised Geometry Distillation. DGS@ICLR 2019 - [c3]Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Aréchiga, Tengyu Ma:
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss. NeurIPS 2019: 1565-1576 - [i10]Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy:
TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation. CoRR abs/1904.09571 (2019) - [i9]Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy:
Disentangling Content and Style via Unsupervised Geometry Distillation. CoRR abs/1905.04538 (2019) - [i8]Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Aréchiga, Tengyu Ma:
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss. CoRR abs/1906.07413 (2019) - [i7]Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles:
Few-Shot Video Classification via Temporal Alignment. CoRR abs/1906.11415 (2019) - [i6]Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy:
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild. CoRR abs/1908.06442 (2019) - [i5]Jingwei Ji, Kaidi Cao, Juan Carlos Niebles:
Learning Temporal Action Proposals With Fewer Labels. CoRR abs/1910.01286 (2019) - 2018
- [j1]Kaidi Cao, Jing Liao, Lu Yuan:
CariGANs: unpaired photo-to-caricature translation. ACM Trans. Graph. 37(6): 244 (2018) - [c2]Yue He, Kaidi Cao, Cheng Li, Chen Change Loy:
Merge or Not? Learning to Group Faces via Imitation Learning. AAAI 2018: 6902-6909 - [c1]Kaidi Cao, Yu Rong, Cheng Li, Xiaoou Tang, Chen Change Loy:
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping. CVPR 2018: 5187-5196 - [i4]Kaidi Cao, Yu Rong, Cheng Li, Xiaoou Tang, Chen Change Loy:
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping. CoRR abs/1803.00839 (2018) - [i3]Xuan Yang, Mingyu Gao, Jing Pu, Ankita Nayak, Qiaoyi Liu, Steven Bell, Jeff Setter, Kaidi Cao, Heonjae Ha, Christos Kozyrakis, Mark Horowitz:
DNN Dataflow Choice Is Overrated. CoRR abs/1809.04070 (2018) - [i2]Kaidi Cao, Jing Liao, Lu Yuan:
CariGANs: Unpaired Photo-to-Caricature Translation. CoRR abs/1811.00222 (2018) - 2017
- [i1]Yue He, Kaidi Cao, Cheng Li, Chen Change Loy:
Merge or Not? Learning to Group Faces via Imitation Learning. CoRR abs/1707.03986 (2017)
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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