CVPR 2024 accepted papers on Learning theory and algorithms
18 of the 2,716 papers accepted at CVPR 2024 (0.7%) are on Learning theory and algorithms, compared with 1.1% at CVPR 2023. They fall into 6 topics.
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Topics and papers
Matrix and tensor methods · 6 papers
- HDQMF: Holographic Feature Decomposition Using Quantum Algorithms (4 citations)
- Fun with Flags: Robust Principal Directions via Flag Manifolds (3 citations)
- Robust Self-calibration of Focal Lengths from the Fundamental Matrix (3 citations)
- Revisiting Sampson Approximations for Geometric Estimation Problems (2 citations)
- CURSOR: Scalable Mixed-Order Hypergraph Matching with CUR Decomposition (1 citation)
- Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization
Prediction and decision losses · 4 papers
- Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning (9 citations)
- Resolution Limit of Single-Photon LiDAR (9 citations)
- Task-Driven Wavelets using Constrained Empirical Risk Minimization (1 citation)
- Identifying Important Group of Pixels using Interactions
Clustering · 4 papers
- Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering (52 citations)
- Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis (36 citations)
- S2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering (21 citations)
- Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing (4 citations)
Combinatorial and search optimization · 2 papers
Sample complexity · 1 paper
Fairness · 1 paper
- Utility-Fairness Trade-Offs and How to Find Them (8 citations)