mekty2012 / Deep-Learning-TheoryLinks
Repository for Deep Learning Theory papers
☆15Updated 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
Sorting:
- 😎 A curated list of tensor decomposition resources for model compression.☆81Updated this week
- Neural Tangent Kernel Papers☆116Updated 8 months ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆196Updated 8 months ago
- This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…☆289Updated last year
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆370Updated last year
- Welcome to the 'In Context Learning Theory' Reading Group☆30Updated 10 months ago
- summer school materials☆46Updated 2 years 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
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Updated 6 years ago
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)☆13Updated last year
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆362Updated 2 months ago
- ☆17Updated 2 years ago
- An implementation of the penalty-based bilevel gradient descent (PBGD) algorithm and the iterative differentiation (ITD/RHG) methods.☆18Updated 2 years ago
- ☆70Updated 9 months ago
- [UAI 2025] Official code for reproducing paper "Critical Influence of Overparameterization on Sharpness-aware Minimization"☆19Updated 4 months ago
- Testing methods for estimating KL-divergence from samples.☆65Updated 6 months ago
- Collect optimizer related papers, data, repositories☆97Updated 10 months ago
- Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://a…☆10Updated 2 years ago
- Code reproducing Neural Collapse phenomenon on MSE and cross-entropy loss☆14Updated 3 years ago
- ☆235Updated 2 years ago
- auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs☆325Updated 6 months ago
- Pytorch code for experiments on Linear Transformers☆23Updated last year
- Apply CP, Tucker, TT/TR, HT to compress neural networks. Train from scratch.☆15Updated 4 years ago
- PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from s…☆35Updated 3 years ago
- Implementation of a PyTorch Mutual Information Estimation Toolkit☆20Updated last year
- [ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies☆22Updated 3 years ago
- ☆25Updated last year
- Second-Order Fine-Tuning without Pain for LLMs: a Hessian Informed Zeroth-Order Optimizer☆19Updated 7 months ago
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆198Updated last year
- Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features☆12Updated 3 years ago