goldblum / TruthOrBackpropagandaLinks
An empirical investigation of deep learning theory
☆16Updated 5 years ago
Alternatives and similar repositories for TruthOrBackpropaganda
Users that are interested in TruthOrBackpropaganda are comparing it to the libraries listed below
Sorting:
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago
- A fast and efficient way to compute a differentiable bound on the singular values of convolution layers☆13Updated 5 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- ☆20Updated 5 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 6 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 4 years ago
- ☆54Updated last year
- Learning perturbation sets for robust machine learning☆65Updated 3 years ago
- ☆30Updated 4 years ago
- ☆37Updated last year
- ☆38Updated 4 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 5 months ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆14Updated 5 years ago
- ☆25Updated 5 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Large-batch Training, Neural Network Optimization☆9Updated 5 years ago
- Fine-grained ImageNet annotations☆29Updated 5 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago