neural tangent kernel

205 papers

Explore in graph

Also known as

NTK

Co-occurring keywords

neural network (6616) gradient descent (1143) kernel methods (1096) representation learning (6174) feature learning (1309) gaussian process (1198) generalization bound (649) training dynamics (113) kernel regression (86) deep learning theory (36)

Papers

How Good Are Inducing Points for Dataset Distillation? (Student Abstract) AAAI 2026

Ground What You See: Hallucination-Resistant MLLMs via Caption Feedback, Diversity-Aware Sampling, and Conflict Regularization AAAI 2026

Neural Tangent Kernels Under Stochastic Data Augmentation AAAI 2026

Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method AAAI 2026

F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics CVPR 2025

The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training AAAI 2025

Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime JMLR 2025

Differential Privacy Mechanisms in Neural Tangent Kernel Regression WACV 2025

LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting ACL 2025

Optimized Random Features for the Neural Tangent Kernel (Student Abstract) AAAI 2025

When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis? AAAI 2025

Propulsion: Steering LLM with Tiny Fine-Tuning COLING 2025

Towards Infinite-Long Prefix in Transformer EMNLP 2025

RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates ACL 2025

The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks NIPS 2024

Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization NIPS 2024

The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NIPS 2024

Batch Normalization Alleviates the Spectral Bias in Coordinate Networks CVPR 2024

Localized Zeroth-Order Prompt Optimization NIPS 2024

Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks JMLR 2024

Globally Convergent Variational Inference NIPS 2024

Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK JMLR 2024

Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NIPS 2024

Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent JMLR 2024

Continual learning with the neural tangent ensemble NIPS 2024