CVPR 2023 accepted papers on Learning theory and algorithms
26 of the 2,359 papers accepted at CVPR 2023 (1.1%) are on Learning theory and algorithms, compared with 1.3% at CVPR 2022. They fall into 5 topics.
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Topics and papers
Prediction and decision losses · 10 papers
- Deep Hashing With Minimal-Distance-Separated Hash Centers (68 citations)
- Object Pose Estimation With Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation (32 citations)
- Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations (21 citations)
- Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization (19 citations)
- Quantum Multi-Model Fitting (12 citations)
- SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries (10 citations)
- Adaptive Annealing for Robust Geometric Estimation (6 citations)
- Towards Better Decision Forests: Forest Alternating Optimization (6 citations)
- Semidefinite Relaxations for Robust Multiview Triangulation (5 citations)
- BiasBed - Rigorous Texture Bias Evaluation
Clustering · 6 papers
- GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering (192 citations)
- Deep Incomplete Multi-View Clustering With Cross-View Partial Sample and Prototype Alignment (101 citations)
- Adaptive Graph Convolutional Subspace Clustering (39 citations)
- DivClust: Controlling Diversity in Deep Clustering (29 citations)
- Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric (12 citations)
- Finding Geometric Models by Clustering in the Consensus Space (10 citations)
Combinatorial and search optimization · 5 papers
- Independent Component Alignment for Multi-Task Learning (47 citations)
- Slimmable Dataset Condensation (40 citations)
- Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution (12 citations)
- Why Is the Winner the Best? (6 citations)
- Solving Relaxations of MAP-MRF Problems: Combinatorial In-Face Frank-Wolfe Directions (1 citation)
Matrix and tensor methods · 3 papers
Optimal transport · 2 papers
- Re-Basin via Implicit Sinkhorn Differentiation (10 citations)
- Sliced Optimal Partial Transport (8 citations)