neural tangent kernel

What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? NeurIPS 2022 A Deep Conditioning Treatment of Neural Networks ALT 2021 A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks AISTATS 2021 A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network COLT 2021 A Recipe for Global Convergence Guarantee in Deep Neural Networks AAAI 2021 A Temporal Kernel Approach for Deep Learning with Continuous-time Information ICLR 2021 A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix AISTATS 2021 Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 2021 Deep Networks and the Multiple Manifold Problem ICLR 2021 Deep Networks Provably Classify Data on Curves NeurIPS 2021 Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS ICLR 2021 DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel NeurIPS 2021 Do Wider Neural Networks Really Help Adversarial Robustness? NeurIPS 2021 Efficient Statistical Tests: A Neural Tangent Kernel Approach ICML 2021 Fast Sketching of Polynomial Kernels of Polynomial Degree ICML 2021 FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis ICML 2021 Functional Regularization for Reinforcement Learning via Learned Fourier Features NeurIPS 2021 Implicit Regularization via Neural Feature Alignment AISTATS 2021 Learning with invariances in random features and kernel models COLT 2021 Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels NeurIPS 2021 Meta-Learning with Neural Tangent Kernels ICLR 2021 Neural Active Learning with Performance Guarantees NeurIPS 2021 Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective ICLR 2021 Neural Tangent Generalization Attacks ICML 2021 Neural Tangent Kernel Maximum Mean Discrepancy NeurIPS 2021