adityashrm21 / information-theory-deep-learningLinks
Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning
☆45Updated 6 years ago
Alternatives and similar repositories for information-theory-deep-learning
Users that are interested in information-theory-deep-learning are comparing it to the libraries listed below
Sorting:
- demonstration of the information bottleneck theory for deep learning☆65Updated 7 years ago
- ☆67Updated 6 years ago
- Ἀνατομή is a PyTorch library to analyze representation of neural networks☆65Updated 2 months ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 5 years ago
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- Code for "Supermasks in Superposition"☆124Updated last year
- PyTorch implementation of FIM and empirical FIM☆61Updated 7 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- ☆124Updated last year
- ☆60Updated 2 years ago
- NTK reading group☆87Updated 5 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆40Updated 4 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆133Updated 4 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated 2 months ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆274Updated 2 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆61Updated 4 years ago
- ☆37Updated last year
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆40Updated 4 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆140Updated 6 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆90Updated 5 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆100Updated 3 years ago
- Code for the intrinsic dimensionality estimate of data representations☆83Updated 5 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- ☆62Updated 4 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆50Updated 4 years ago