kwignb / NeuralTangentKernel-PapersLinks
Neural Tangent Kernel Papers
☆115Updated 7 months ago
Alternatives and similar repositories for NeuralTangentKernel-Papers
Users that are interested in NeuralTangentKernel-Papers are comparing it to the libraries listed below
Sorting:
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆191Updated 8 months ago
- ☆70Updated 8 months ago
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆368Updated last year
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 5 years ago
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆358Updated last month
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated 2 months ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆49Updated 3 years ago
- ☆67Updated 6 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆121Updated 2 years ago
- Welcome to the 'In Context Learning Theory' Reading Group☆30Updated 9 months ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆334Updated last month
- Simple CIFAR10 ResNet example with JAX.☆23Updated 4 years ago
- Mutual information estimators and benchmark☆51Updated 7 months ago
- Create animations for the optimization trajectory of neural nets☆158Updated last year
- Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features☆13Updated 3 years ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆339Updated last year
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆71Updated last year
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- [ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects☆14Updated 5 years ago
- ☆28Updated 2 years ago
- This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…☆282Updated last year
- Awesome papers on weight-space learning☆30Updated 3 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- NTK reading group☆87Updated 5 years ago
- Pytorch code for experiments on Linear Transformers☆21Updated last year
- ☆59Updated 2 years ago
- Visualization of mean field and neural tangent kernel regime☆20Updated last year
- [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228☆19Updated 3 years ago