neural tangent kernel

Second-order regression models exhibit progressive sharpening to the edge of stability ICML 2023 Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth ICLR 2023 Spectral Evolution and Invariance in Linear-width Neural Networks NeurIPS 2023 Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels ICML 2023 Supervision Complexity and its Role in Knowledge Distillation ICLR 2023 Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models NeurIPS 2023 The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks ICLR 2023 The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes ICLR 2023 Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models NeurIPS 2023 Tuning Frequency Bias in Neural Network Training with Nonuniform Data ICLR 2023 Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks NeurIPS 2023 Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL NeurIPS 2023 Unraveling Feature Extraction Mechanisms in Neural Networks EMNLP 2023 Accelerated Linearized Laplace Approximation for Bayesian Deep Learning NeurIPS 2022 A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity NeurIPS 2022 A Neural Tangent Kernel Perspective of GANs ICML 2022 A Neural Tangent Kernel Perspective of Infinite Tree Ensembles ICLR 2022 A NON-PARAMETRIC REGRESSION VIEWPOINT : GENERALIZATION OF OVERPARAMETRIZED DEEP RELU NETWORK UNDER NOISY OBSERVATIONS ICLR 2022 A Structured Dictionary Perspective on Implicit Neural Representations CVPR 2022 Bidirectional Learning for Offline Infinite-width Model-based Optimization NeurIPS 2022 Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis ICML 2022 Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach ICLR 2022 Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training? CVPR 2022 Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel NeurIPS 2022 Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features ICLR 2022