Kaidi Cao

发表

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

Colin Wei, Tengyu Ma, Adrien Gaidon, 2019, NeurIPS.

Delving Deep Into Hybrid Annotations for 3 D Human Recovery in the Wild Supplemental Material

Chen Change Loy, Ziwei Liu, Cheng Li, 2019 .

Disentangling Content and Style via Unsupervised Geometry Distillation

Chen Change Loy, C. Qian, Cheng Li, 2019, DGS@ICLR.

Reinforcement Learning in Memory MAB

Kaidi Cao, 2019 .

Coresets for Robust Training of Deep Neural Networks against Noisy Labels

Baharan Mirzasoleiman, Jure Leskovec, Kaidi Cao, 2020, NeurIPS.

Open-World Semi-Supervised Learning pdf

Jure Leskovec, Kaidi Cao, Maria Brbic, 2021, ICLR.

Learning Backward Compatible Embeddings

Nikhil S. Rao, J. Leskovec, Weihua Hu, 2022, KDD.

CariGANs

Lu Yuan, Kaidi Cao, Jing Liao, 2018, ACM Transactions on Graphics.

TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks

J. Leskovec, Weihua Hu, Kaidi Cao, 2022, ArXiv.

Preparation and Application of Nanocomposite Thin-Film Temperature Sensor during the Milling Process

Kaidi Cao, Yunxian Cui, Haoyu Wang, 2022, Materials.

Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator

J. Leskovec, Kaidi Cao, Rex Ying, 2022, KDD.

Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization

Tengyu Ma, Junwei Lu, Adrien Gaidon, 2020, ICLR.

Few-Shot Video Classification via Temporal Alignment

Juan Carlos Niebles, Kaidi Cao, Zhangjie Cao, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Deep learning identifies robust gender differences in functional brain organization and their dissociable links to clinical symptoms in autism

Tengyu Ma, Kaustubh Supekar, V. Menon, 2022, The British Journal of Psychiatry.

Annotation of Spatially Resolved Single-cell Data with STELLAR

G. Nolan, J. Leskovec, Yuqi Tan, 2021, bioRxiv.

Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators

Mingyu Gao, M. Horowitz, Jing Pu, 2018, ASPLOS.

DNN Dataflow Choice Is Overrated

Priyanka Raina, Xuan Yang, Mingyu Gao, 2018, ArXiv.

TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation

Chen Qian, Cheng Li, Chen Change Loy, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Pose-Robust Face Recognition via Deep Residual Equivariant Mapping

Cheng Li, Xiaoou Tang, Chen Change Loy, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

CariGANs pdf

Jing Liao, Lu Yuan, Kaidi Cao, 2018, ACM Trans. Graph..

Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild

Cheng Li, Chen Change Loy, Ziwei Liu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Concept Learners for Few-Shot Learning

Jure Leskovec, Kaidi Cao, Maria Brbic, 2020, ICLR.

Organization of the human intestine at single-cell resolution

Garry P. Nolan, J. Leskovec, S. Plevritis, 2023, Nature.

Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective-Supplementary Materials-Outline

Jiashi Feng, Saining Xie, Priya Goyal, 2020 .

Concept Learners for Generalizable Few-Shot Learning pdf

Jure Leskovec, Kaidi Cao, Maria Brbic, 2020, ArXiv.

Few-Shot Video Classification via Temporal Alignment

Juan Carlos Niebles, Zhangjie Cao, Jingwei Ji, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Large Graph Property Prediction via Graph Segment Training

J. Leskovec, Yanqi Zhou, Charith Mendis, 2023, ArXiv.

Relational Multi-Task Learning: Modeling Relations between Data and Tasks

J. Leskovec, Kaidi Cao, Jiaxuan You, 2023, ICLR.

Learning Temporal Action Proposals With Fewer Labels

Juan Carlos Niebles, Kaidi Cao, Jingwei Ji, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Communication-Free Distributed GNN Training with Vertex Cut

J. Leskovec, Kaidi Cao, Karthik Subbian, 2023, ArXiv.

Coresets for Robust Training of Neural Networks against Noisy Labels pdf

Baharan Mirzasoleiman, Jure Leskovec, Kaidi Cao, 2020, ArXiv.

ING WITH ADAPTIVE REGULARIZATION

Tengyu Ma, Junwei Lu, Adrien Gaidon, 2021 .

AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks

J. Leskovec, Kaidi Cao, Jiaxuan You, 2023, ICLR.

GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts

J. Leskovec, Kaidi Cao, Shirley Wu, 2023, 2312.04693.

TuneUp: A Simple Improved Training Strategy for Graph Neural Networks

J. Leskovec, Weihua Hu, Kaidi Cao, 2022, 2210.14843.

GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts

J. Leskovec, Kaidi Cao, Shirley Wu, 2023, arXiv.org.

PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning

Kaidi Cao, Weihua Hu, J. Leskovec, 2024, ArXiv.