Kaidi Cao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 46

Top Topics

Knowledge Retrieval

Adaptive Regularization

Robust Face Recognition

Top Venues

Publications

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 (2024)
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 (2024)
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 (2024)
Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. CoRR (2023)
Kaidi Cao, Jiaxuan You, Jure Leskovec
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. CoRR (2023)
Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. ICLR (2023)
Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec
Communication-Free Distributed GNN Training with Vertex Cut. CoRR (2023)
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 (2023)
Mangpo 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)
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)
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 (2023)
Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec
GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts. CoRR (2023)
Kaidi Cao, Jiaxuan You, Jure Leskovec
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. ICLR (2022)
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 (2022)
Kaidi Cao, Maria Brbic, Jure Leskovec
Open-World Semi-Supervised Learning. ICLR (2022)
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)
Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
Learning Backward Compatible Embeddings. KDD (2022)
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 (2022)
Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
Learning Backward Compatible Embeddings. CoRR (2022)
Kaidi Cao, Maria Brbic, Jure Leskovec
Open-World Semi-Supervised Learning. CoRR (2021)
Kaidi Cao, Yining Chen, Junwei Lu, Nikos Aréchiga, Adrien Gaidon, Tengyu Ma
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization. ICLR (2021)
Kaidi Cao, Maria Brbic, Jure Leskovec
Concept Learners for Few-Shot Learning. ICLR (2021)
Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec
Coresets for Robust Training of Neural Networks against Noisy Labels. CoRR (2020)
Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec
Coresets for Robust Training of Deep Neural Networks against Noisy Labels. NeurIPS (2020)
Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles
Few-Shot Video Classification via Temporal Alignment. CVPR (2020)
Kaidi Cao, Yining Chen, Junwei Lu, Nikos Aréchiga, Adrien Gaidon, Tengyu Ma
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization. CoRR (2020)
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)
Kaidi Cao, Maria Brbic, Jure Leskovec
Concept Learners for Generalizable Few-Shot Learning. CoRR (2020)
Jingwei Ji, Kaidi Cao, Juan Carlos Niebles
Learning Temporal Action Proposals With Fewer Labels. CoRR (2019)
Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Aréchiga, Tengyu Ma
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss. CoRR (2019)
Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy
Disentangling Content and Style via Unsupervised Geometry Distillation. DGS@ICLR (2019)
Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Aréchiga, Tengyu Ma
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss. NeurIPS (2019)
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)
Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy
TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation. CoRR (2019)
Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild. CoRR (2019)
Jingwei Ji, Kaidi Cao, Juan Carlos Niebles
Learning Temporal Action Proposals With Fewer Labels. ICCV (2019)
Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles
Few-Shot Video Classification via Temporal Alignment. CoRR (2019)
Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy
TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation. CVPR (2019)
Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy
Disentangling Content and Style via Unsupervised Geometry Distillation. CoRR (2019)
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 (2018)
Yue He, Kaidi Cao, Cheng Li, Chen Change Loy
Merge or Not? Learning to Group Faces via Imitation Learning. AAAI (2018)
Kaidi Cao, Jing Liao, Lu Yuan
CariGANs: unpaired photo-to-caricature translation. ACM Trans. Graph. 37 (6) (2018)
Kaidi Cao, Yu Rong, Cheng Li, Xiaoou Tang, Chen Change Loy
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping. CVPR (2018)
Kaidi Cao, Yu Rong, Cheng Li, Xiaoou Tang, Chen Change Loy
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping. CoRR (2018)
Kaidi Cao, Jing Liao, Lu Yuan
CariGANs: Unpaired Photo-to-Caricature Translation. CoRR (2018)
Yue He, Kaidi Cao, Cheng Li, Chen Change Loy
Merge or Not? Learning to Group Faces via Imitation Learning. CoRR (2017)