CVPR 2025 accepted papers on Learning theory and algorithms
15 of the 2,871 papers accepted at CVPR 2025 (0.5%) are on Learning theory and algorithms, compared with 0.7% at CVPR 2024. They fall into 6 topics.
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Topics and papers
Clustering · 5 papers
- Enhanced then Progressive Fusion with View Graph for Multi-View Clustering (8 citations)
- Deep Fair Multi-View Clustering with Attention KAN (6 citations)
- Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels (6 citations)
- Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning (5 citations)
- A Flag Decomposition for Hierarchical Datasets (1 citation)
Prediction and decision losses · 5 papers
- HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition (10 citations)
- Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time (4 citations)
- Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding (3 citations)
- Foundations of the Theory of Performance-Based Ranking (3 citations)
- Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone