taylor expansion

D2 Prune: Sparsifying Large Language Models via Dual Taylor Expansion and Attention Distribution Awareness AAAI 2026 ReLUPruner: Rethinking ReLU Importance with Taylor Expansion for Efficient Private Inference AAAI 2026 TAP: A Token-Adaptive Predictor Framework for Training-Free Diffusion Acceleration CVPR 2026 MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation CVPR 2025 Physics-Informed Weakly Supervised Learning For Interatomic Potentials ICML 2025 Precise Integral in NeRFs: Overcoming the Approximation Errors of Numerical Quadrature WACV 2025 Taming Rectified Flow for Inversion and Editing ICML 2025 Batch Normalization Is Blind to the First and Second Derivatives of the Loss AAAI 2024 Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains AAAI 2024 Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection EMNLP 2024 GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration NeurIPS 2024 Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models ICLR 2024 Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion EMNLP 2024 TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization AAAI 2024 What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions ICML 2024 MB-TaylorFormer: Multi-Branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing ICCV 2023 Randomized Adversarial Training via Taylor Expansion CVPR 2023 Structural Pruning for Diffusion Models NeurIPS 2023 Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs IJCAI 2022 A Unified Taylor Framework for Revisiting Attribution Methods AAAI 2021 Taylor Expansion of Discount Factors ICML 2021 Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks ICLR 2020 Highly smooth minimization of non-smooth problems COLT 2020 Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes RSS 2020 Taylor Expansion Policy Optimization ICML 2020