emited / gantk2Links
GAN(TK)²: GAN Neural Tangent Kernel ToolKit
☆13Updated 3 years ago
Alternatives and similar repositories for gantk2
Users that are interested in gantk2 are comparing it to the libraries listed below
Sorting:
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- ☆26Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆50Updated 7 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 5 years ago
- ☆34Updated 4 years ago
- A pytorch compatible data loader to create sequence of tasks for Continual Learning☆32Updated 5 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆36Updated 5 years ago
- ☆34Updated 4 years ago
- Reparameterize your PyTorch modules☆71Updated 5 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Updated 3 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Updated 6 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Updated 4 years ago
- ☆25Updated 5 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 6 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 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 …☆41Updated 5 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 3 years ago
- pytorch implementation of SOSELETO☆15Updated 6 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 4 years ago
- ☆56Updated 5 years ago
- ☆21Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆37Updated 2 years ago
- ☆34Updated 7 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 6 years ago