MinghuiChen43 / awesome-deep-phenomena
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
☆271Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for awesome-deep-phenomena
- Neural Tangent Kernel Papers☆94Updated 8 months ago
- Awesome coreset/core-set/subset/sample selection works.☆163Updated 4 months ago
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆324Updated 6 months ago
- ☆199Updated 6 months ago
- This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…☆249Updated 7 months ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆144Updated 3 weeks ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆87Updated last year
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆279Updated 11 months ago
- Welcome to the 'In Context Learning Theory' Reading Group☆22Updated 2 weeks ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆304Updated 11 months ago
- ☆59Updated 3 years ago
- Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization☆332Updated 4 months ago
- A curated list of papers and resources about the distribution shift in machine learning.☆104Updated last year
- Code for coreset selection methods☆212Updated last year
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆170Updated 9 months ago
- ☆210Updated last year
- ☆58Updated 2 years ago
- Compare neural networks by their feature similarity☆343Updated last year
- Train ImageNet *fast* in 500 lines of code with FFCV☆136Updated 6 months ago
- A curated list of trustworthy deep learning papers. Daily updating...☆345Updated this week
- A curated list for awesome discrete diffusion models resources.☆133Updated last week
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆207Updated last month
- Reading list for research topics in state-space models☆242Updated 3 weeks ago
- ☆175Updated 3 weeks ago
- Implementation of https://srush.github.io/annotated-s4☆469Updated last year
- Extensive acceptance rates and information of main AI conferences☆144Updated 3 months ago
- ☆187Updated 2 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆180Updated this week
- ☆63Updated 2 years ago
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆108Updated 3 months ago