lchizat / 2020-implicit-bias-wide-2NNLinks
Code for the paper: "Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss" (Chizat and Bach)
☆7Updated 5 years ago
Alternatives and similar repositories for 2020-implicit-bias-wide-2NN
Users that are interested in 2020-implicit-bias-wide-2NN are comparing it to the libraries listed below
Sorting:
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- ☆34Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- Implementation of the Functional Neural Process models☆43Updated 5 years ago
- ☆36Updated 3 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆128Updated last year
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆89Updated 5 years ago
- ☆54Updated 11 months ago
- ☆55Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆56Updated 5 years ago
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- ☆123Updated last year
- Hypergradient descent☆149Updated last year
- ☆67Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆125Updated last year
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆92Updated 4 years ago
- Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning☆101Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 4 months ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- ☆100Updated 3 years ago