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machine-learning-other-than-deep-learning.md

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ICCV-2023-Papers

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Machine Learning (other than Deep Learning)

Section Papers Preprint Papers Papers with Open Code Papers with Video

Title Repo Paper Video
Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios GitHub thecvf
Anchor Structure Regularization Induced Multi-View Subspace Clustering via Enhanced Tensor Rank Minimization GitHub thecvf
Meta OOD Learning for Continuously Adaptive OOD Detection thecvf
arXiv
Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning thecvf
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration GitHub thecvf
arXiv
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones are Difficult to Beat thecvf
arXiv
Towards Inadequately Pre-Trained Models in Transfer Learning thecvf
arXiv
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology GitHub thecvf
arXiv
Membrane Potential Batch Normalization for Spiking Neural Networks GitHub thecvf
arXiv
Revisit PCA-based Technique for Out-of-Distribution Detection GitHub thecvf
Cross-View Topology based Consistent and Complementary Information for Deep Multi-View Clustering thecvf