mekty2012 / Deep-Learning-TheoryLinks
Repository for Deep Learning Theory papers
☆15Updated 2 years ago
Alternatives and similar repositories for Deep-Learning-Theory
Users that are interested in Deep-Learning-Theory are comparing it to the libraries listed below
Sorting:
- Neural Tangent Kernel Papers☆121Updated last year
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆205Updated last year
- auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs☆338Updated this week
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆388Updated last year
- summer school materials☆46Updated 2 years ago
- This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…☆293Updated last year
- An implementation of the penalty-based bilevel gradient descent (PBGD) algorithm and the iterative differentiation (ITD/RHG) methods.☆19Updated 2 years ago
- ☆73Updated last year
- Summer course on mathematical theory of deep learning☆54Updated 6 years ago
- [ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies☆22Updated 3 years ago
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆390Updated last month
- Collect optimizer related papers, data, repositories☆99Updated last year
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆351Updated 2 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆71Updated 3 years ago
- [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces☆43Updated 3 years ago
- Welcome to the 'In Context Learning Theory' Reading Group☆30Updated last year
- Pytorch code for experiments on Linear Transformers☆24Updated 2 years ago
- Code reproducing Neural Collapse phenomenon on MSE and cross-entropy loss☆14Updated 4 years ago
- [NeurIPS 2022] Code for paper "Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation"☆27Updated 2 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Updated 4 months ago
- 🔨 Malet (Machine Learning Experiment Tool) is a tool for efficient machine learning experiment execution, logging, analysis, and plot ma…☆17Updated 2 weeks ago
- Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://a…☆10Updated 3 years ago
- [UAI 2025] Official code for reproducing paper "Critical Influence of Overparameterization on Sharpness-aware Minimization"☆19Updated 8 months ago
- Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features☆13Updated 3 years ago
- Pretrained models on CIFAR10/100 in PyTorch☆387Updated 8 months ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Updated 6 years ago
- ☆242Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 4 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 4 years ago
- ☆27Updated last year