xie-lab-ml / deep-learning-dynamics-paper-listLinks
This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.
☆293Updated last year
Alternatives and similar repositories for deep-learning-dynamics-paper-list
Users that are interested in deep-learning-dynamics-paper-list 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…☆205Updated last year
- [ICML 2022, Oral] The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our paper: "Adaptive Inertia: Dise…☆150Updated 2 years ago
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆390Updated 3 weeks ago
- Welcome to the 'In Context Learning Theory' Reading Group☆30Updated last year
- Neural Tangent Kernel Papers☆121Updated last year
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆362Updated 6 months ago
- ☆56Updated last year
- ☆241Updated 3 years ago
- summer school materials☆46Updated 2 years ago
- Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms☆295Updated 2 years ago
- Code for the paper: Why Transformers Need Adam: A Hessian Perspective☆63Updated 10 months ago
- ☆50Updated 2 years ago
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆387Updated last year
- Summer course on mathematical theory of deep learning☆53Updated 6 years ago
- An Elegant Library for Bayesian Deep Learning in PyTorch☆27Updated 3 years ago
- ☆263Updated 10 months ago
- ☆73Updated last year
- a collection of AWESOME things about Optimal Transport in Deep Learning☆334Updated last year
- [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆124Updated 6 months ago
- Solution and Useful Links☆64Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 4 years ago
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆206Updated last year
- Template and style files for ICLR☆258Updated 5 months ago
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆128Updated last year
- TorchOpt is an efficient library for differentiable optimization built upon PyTorch.☆623Updated 3 weeks ago
- Visualization of mean field and neural tangent kernel regime☆23Updated last year
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆149Updated 6 years ago
- ☆241Updated last year
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆245Updated 4 years ago
- A lecture note for understanding deep learning☆403Updated last month