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Optimization & Theory

7,804 papers (27 classified directly here)

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Papers (including subtopics)

Efficiency Follows Global-Local Decoupling CVPR 2026 Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation CVPR 2026 Efficient Training for Human Video Generation with Entropy-Guided Prioritized Progressive Learning CVPR 2026 EFIQA: Explainable Fundus Image Quality Assessment via Anatomical Priors MIDL 2026 Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence JMLR 2026 EvoComp: Learning Visual Token Compression for Multimodal Large Language Models via Semantic-Guided Evolutionary Labeling CVPR 2026 Evolving Sparsity: Leveraging Token Importance Dynamics for Efficient LLM Decoding with Sparse Attention ACL 2026 Expert Calibration Lens for Pruning Mixture of Experts ACL 2026 Failure Modes for Deep Learning-Based Online Mapping: How to Measure and Address Them CVPR 2026 Fast3Dcache: Training-free 3D Geometry Synthesis Acceleration CVPR 2026 Fast and Accurate Fisher-Guided Quantization via Efficient Kronecker Factorization ACL 2026 Faster-GS: Analyzing and Improving Gaussian Splatting Optimization CVPR 2026 FastLightGen: Fast and Light Video Generation with Fewer Steps and Parameters CVPR 2026 Few-Step Diffusion Sampling Through Instance-Aware Discretizations CVPR 2026 Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients CVPR 2026 Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry UAI 2026 FlashVGGT: Efficient and Scalable Visual Geometry Transformers with Compressed Descriptor Attention CVPR 2026 Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks JMLR 2026 FlexiVideo: Variation-Aware Temporal Dynamics Modeling for Efficient Video Understanding CVPR 2026 Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing ACL 2026 FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models ACL 2026 Forecast the Principal, Stabilize the Residual: Subspace-Aware Feature Caching for Diffusion Transformers CVPR 2026 FoSS: Modeling Long-Range Dependencies and Multimodal Uncertainty in Trajectory Prediction via Fourier-State Space Integration CVPR 2026 FOZO: Forward-Only Zeroth-Order Prompt Optimization for Test-Time Adaptation CVPR 2026 Fresco: Frequency-Spatial Consistent Optimization for Fine-Grained Head Avatar Modeling CVPR 2026