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Optimization

14207 directly classified papers

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Papers

Building Domain-Specific Small Language Models via Guided Data Generation AAAI 2026
Knowledge-Based Stable Roommates Problems AAAI 2026
Fine-Tuning Sample Order Matters in Propositional Logical Question-Answering (Student Abstract) AAAI 2026
Efficient Preference Alignment via Pareto Exploration (Student Abstract) AAAI 2026
Adaptive KL Control for Direct Preference Optimization in Instruction-Following LLMs AAAI 2026
AutoTuneX: Interactive Automated Fine-Tuning for Large Language Models AAAI 2026
DensiCrafter: Physically-Constrained Generation and Fabrication of Self-Supporting Hollow Structures AAAI 2026
Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability AAAI 2026
Temporal Dynamics Enhancer for Directly Trained Spiking Object Detectors AAAI 2026
Plug-and-Play Optimization for 3D Gaussian Splatting Compression: Distribution Regularization, Probabilistic Pruning and Detail Compensation AAAI 2026
HiFi-Mamba: Dual-Stream ?-Laplacian Enhanced Mamba for High-Fidelity MRI Reconstruction AAAI 2026
PCGS: Progressive Compression of 3D Gaussian Splatting AAAI 2026
Fast Guaranteed Robust Local-Smooth Principal Component Separation AAAI 2026
Opt3DGS: Optimizing 3D Gaussian Splatting with Adaptive Exploration and Curvature-Aware Exploitation AAAI 2026
PINGS-X: Physics-Informed Normalized Gaussian Splatting with Axes Alignment for Efficient Super-Resolution of 4D Flow MRI AAAI 2026
Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance AAAI 2026
FreLay: Frequency-aware Energy Function for Training-free Layout-to-Image Generation AAAI 2026
Image Restoration via Primal Dual Hybrid Gradient and Flow Generative Model AAAI 2026
RiemanLine: Riemannian Manifold Representation of 3D Lines for Factor Graph Optimization AAAI 2026
MoSs: Mixture of Scales for Efficient High-Resolution Autoregressive Image Generation AAAI 2026
WaveC2R: Wavelet-Driven Coarse-to-Refined Hierarchical Learning for Radar Retrieval AAAI 2026
TrackGS: Optimizing COLMAP-Free 3D Gaussian Splatting with Global Track Constraints AAAI 2026
Monte Carlo Diffusion for Generalizable Learning-Based RANSAC AAAI 2026
PC-Flow: Preference Alignment in Flow Matching via Classifier AAAI 2026
Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation AAAI 2026