choasma / HSIC-bottleneckLinks
The HSIC Bottleneck: Deep Learning without Back-Propagation
☆86Updated 4 years ago
Alternatives and similar repositories for HSIC-bottleneck
Users that are interested in HSIC-bottleneck are comparing it to the libraries listed below
Sorting:
- demonstration of the information bottleneck theory for deep learning☆62Updated 7 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆73Updated 5 years ago
- Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)☆199Updated 2 years ago
- ☆45Updated 5 years ago
- ☆83Updated last year
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆40Updated 4 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆127Updated 4 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery …☆51Updated 10 months ago
- ☆123Updated last year
- Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning☆100Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning☆44Updated 6 years ago
- ☆122Updated 2 years ago
- Code for the intrinsic dimensionality estimate of data representations☆81Updated 5 years ago
- Implementation of the variational continual learning method☆190Updated 6 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆271Updated 2 years ago
- ☆72Updated 2 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017☆104Updated 6 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆116Updated 3 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated 2 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆40Updated 10 months ago
- ☆58Updated 2 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆76Updated 4 years ago
- ☆153Updated 5 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago
- ☆91Updated 3 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago