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:
- ☆59Updated 2 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆117Updated 3 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆272Updated 2 years ago
- ☆153Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- Code for "Supermasks in Superposition"☆124Updated last year
- Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)☆200Updated 2 years ago
- Learning Sparse Neural Networks through L0 regularization☆245Updated 5 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆40Updated 4 years ago
- PyTorch implementation of FIM and empirical FIM☆61Updated 7 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning☆101Updated 4 years ago
- ☆45Updated 5 years ago
- ☆123Updated last year
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated 2 years ago
- demonstration of the information bottleneck theory for deep learning☆64Updated 7 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆89Updated 5 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆198Updated 7 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆129Updated 3 years ago
- ☆84Updated last year
- ☆67Updated 6 years ago
- PyTorch code for training neural networks without global back-propagation☆165Updated 5 years ago
- Code for the intrinsic dimensionality estimate of data representations☆83Updated 5 years ago
- ☆91Updated 3 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last month
- A Closer Look at Accuracy vs. Robustness☆89Updated 4 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆128Updated last year
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated 2 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆84Updated 11 months ago