ryanchankh / redunet_paperLinks
Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)
☆60Updated 4 years ago
Alternatives and similar repositories for redunet_paper
Users that are interested in redunet_paper are comparing it to the libraries listed below
Sorting:
- Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)☆199Updated 2 years ago
- ☆81Updated 4 years ago
- ☆84Updated 4 years ago
- code for paper "Graph Structure of Neural Networks"☆155Updated 3 years ago
- The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxi…☆63Updated 2 years ago
- Piecewise Linear Functions (PWL) implementation in PyTorch☆53Updated 3 years ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 3 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated 2 years ago
- Code For Beyond Finite Layer Neural Network:Bridging Deep Architects and Numerical Differential Equations☆16Updated 6 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆41Updated 6 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆108Updated 6 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated 2 years ago
- ☆67Updated 6 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- Distributed K-FAC preconditioner for PyTorch☆87Updated last week
- Backpropagation-Friendly-Eigendecomposition☆73Updated 5 years ago
- Official PyTorch Implementation of Deep Networks from the Principle of Rate Reduction (2021)☆37Updated 4 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Deep Isometric Learning for Visual Recognition (ICML 2020)☆143Updated 3 years ago
- ☆45Updated 5 years ago
- Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …☆102Updated 4 years ago
- Visualization of mean field and neural tangent kernel regime☆20Updated 11 months ago
- ☆30Updated 4 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes☆55Updated 2 years ago
- [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, X…☆49Updated 4 years ago
- ☆47Updated last year
- [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.☆42Updated 3 years ago
- ☆59Updated 2 years ago