eth-sri / fnfLinks
☆16Updated 3 years ago
Alternatives and similar repositories for fnf
Users that are interested in fnf are comparing it to the libraries listed below
Sorting:
- ☆38Updated 4 years ago
- ☆18Updated 2 years ago
- ☆20Updated 5 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- ☆25Updated 5 years ago
- ☆35Updated last year
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆50Updated 3 years ago
- ☆41Updated 2 years ago
- ☆55Updated 4 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆10Updated 5 years ago
- Training vision models with full-batch gradient descent and regularization☆37Updated 2 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆14Updated 3 years ago
- ☆12Updated 5 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
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆23Updated 4 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆31Updated 3 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- Fine-grained ImageNet annotations☆29Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- ☆31Updated 4 years ago
- ☆24Updated 3 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆17Updated 5 years ago
- A fast and efficient way to compute a differentiable bound on the singular values of convolution layers☆13Updated 5 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Updated 4 years ago
- CIFAR-5m dataset☆39Updated 4 years ago