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Optimization

14207 directly classified papers

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Papers

Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling AAAI 2025
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles AAAI 2025
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025
A (1+ε)-Approximation for Ultrametric Embedding in Subquadratic Time AAAI 2025
Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization AAAI 2025
Enhancing Implicit Neural Representations via Symmetric Power Transformation AAAI 2025
MSP-MVS: Multi-Granularity Segmentation Prior Guided Multi-View Stereo AAAI 2025
Compressing Streamable Free-Viewpoint Videos to 0.1 MB per Frame AAAI 2025
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity AAAI 2025
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation AAAI 2025
FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency AAAI 2025
LiD-FL: Towards List-Decodable Federated Learning AAAI 2025
Towards Scalable and Deep Graph Neural Networks via Noise Masking AAAI 2025
B2Opt: Learning to Optimize Black-box Optimization with Little Budget AAAI 2025
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning AAAI 2025
Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off AAAI 2025
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows AAAI 2025
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation AAAI 2025
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems AAAI 2025
Discrete Curvature Graph Information Bottleneck AAAI 2025
Learning Regularization for Graph Inverse Problems AAAI 2025
On the Hardness of Training Deep Neural Networks Discretely AAAI 2025
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation AAAI 2025