Kaidi Cao
17 papers · 2018–2024 · 4 conferences · across top CS/AI conferences
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Keywords
representation learning
(3)
graph neural network
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large language model
(2)
few-shot learning
(1)
question answering
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domain generalization
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semi-supervised learning
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video classification
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weakly supervised learning
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data augmentation
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image translation
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information retrieval
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face recognition
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video understanding
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human pose estimation
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transfer learning
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knowledge base
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dense correspondence
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gradient descent
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metric learning
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Papers
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
NIPS 2024
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
NIPS 2024
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
NIPS 2024
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
NIPS 2023
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
ICLR 2023
Learning Large Graph Property Prediction via Graph Segment Training
NIPS 2023
Relational Multi-Task Learning: Modeling Relations between Data and Tasks
ICLR 2022
Open-World Semi-Supervised Learning
ICLR 2022
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
ICLR 2021
Concept Learners for Few-Shot Learning
ICLR 2021
Coresets for Robust Training of Deep Neural Networks against Noisy Labels
NIPS 2020
Few-Shot Video Classification via Temporal Alignment
CVPR 2020
TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation
CVPR 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
NIPS 2019
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
ICCV 2019
Learning Temporal Action Proposals With Fewer Labels
ICCV 2019
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
CVPR 2018