Co-occurring keywords · papers mentioning both
Papers
Efficient Dataset Distillation using Random Feature Approximation
NeurIPS 2022
Embedded Ensembles: infinite width limit and operating regimes
AISTATS 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
NeurIPS 2022
Exact learning dynamics of deep linear networks with prior knowledge
NeurIPS 2022
Expected Improvement for Contextual Bandits
NeurIPS 2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
NeurIPS 2022
Fast Finite Width Neural Tangent Kernel
ICML 2022
Fast Neural Kernel Embeddings for General Activations
NeurIPS 2022
Feature learning and random features in standard finite-width convolutional neural networks: An empirical study
UAI 2022
Finding Dynamics Preserving Adversarial Winning Tickets
AISTATS 2022
Generalization Properties of NAS under Activation and Skip Connection Search
NeurIPS 2022
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
ICML 2022
Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials
NeurIPS 2022
Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks
ICLR 2022
Infinite Recommendation Networks: A Data-Centric Approach
NeurIPS 2022
Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting
ICLR 2022
Learning Curves for Gaussian Process Regression with Power-Law Priors and Targets
ICLR 2022
"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
NeurIPS 2022
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
NeurIPS 2022
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization
NeurIPS 2022
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
AAAI 2022
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
ICLR 2022
Neural Contextual Bandits without Regret
AISTATS 2022
NeuralEF: Deconstructing Kernels by Deep Neural Networks
ICML 2022
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks
ICML 2022