mekty2012 / Deep-Learning-Theory
Repository for Deep Learning Theory papers
☆16Updated last year
Alternatives and similar repositories for Deep-Learning-Theory:
Users that are interested in Deep-Learning-Theory are comparing it to the libraries listed below
- Neural Tangent Kernel Papers☆108Updated 2 months ago
- [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228☆19Updated 3 years ago
- Welcome to the 'In Context Learning Theory' Reading Group☆28Updated 5 months ago
- LipSDP - Lipschitz Estimation for Neural Networks☆66Updated 3 years ago
- summer school materials☆44Updated last year
- Code related to ’Beyond spectral gap: The role of the topology in decentralized learning‘.☆13Updated 2 years ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆175Updated 3 months ago
- Pytorch code for experiments on Linear Transformers☆20Updated last year
- ☆65Updated 4 months ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆48Updated 10 months ago
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)☆14Updated 8 months ago
- An implementation of the penalty-based bilevel gradient descent (PBGD) algorithm and the iterative differentiation (ITD/RHG) methods.☆17Updated 2 years ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Updated 5 years ago
- ☆16Updated 2 years ago
- [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions☆26Updated last month
- Deep Learning & Information Bottleneck☆58Updated last year
- Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features☆13Updated 3 years ago
- [NeurIPS 2022] Code for paper "Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation"☆24Updated last year
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆90Updated 3 years ago
- [ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies☆22Updated 3 years ago
- Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://a…☆10Updated 2 years ago
- ☆23Updated 10 months ago
- ☆34Updated last year
- Conformal Prediction + Federated Learning☆11Updated last year
- Code for reproducing the results from arXiv paper "Critical Influence of Overparameterization on Sharpness-aware Minimization"☆17Updated 9 months ago
- [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces☆40Updated 2 years ago
- Comparison of method "Pruning at initialization prior to training" (Synflow/SNIP/GraSP) in PyTorch☆16Updated 10 months ago
- A curated list of papers and resources about the distribution shift in machine learning.☆114Updated last year
- (ICML 2023) Feature learning in deep classifiers through Intermediate Neural Collapse: Accompanying code☆13Updated last year
- ☆12Updated 3 weeks ago