Kaidi Cao
17 papers · 2018–2024 · 4 venues · across top CS/AI venues
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graph neural network
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few-shot learning
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large language model
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data augmentation
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multi-task learning
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video classification
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Papers
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
NeurIPS 2024
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
NeurIPS 2024
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
NeurIPS 2024
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
ICLR 2023
Learning Large Graph Property Prediction via Graph Segment Training
NeurIPS 2023
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
NeurIPS 2023
Open-World Semi-Supervised Learning
ICLR 2022
Relational Multi-Task Learning: Modeling Relations between Data and Tasks
ICLR 2022
Concept Learners for Few-Shot Learning
ICLR 2021
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
ICLR 2021
Coresets for Robust Training of Deep Neural Networks against Noisy Labels
NeurIPS 2020
Few-Shot Video Classification via Temporal Alignment
CVPR 2020
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
ICCV 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
NeurIPS 2019
Learning Temporal Action Proposals With Fewer Labels
ICCV 2019
TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation
CVPR 2019
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
CVPR 2018