Chavdarova / LAGAN-Lookahead_MinimaxLinks
Source code for "Taming GANs with Lookahead–Minmax", ICLR 2021.
☆15Updated 4 years ago
Alternatives and similar repositories for LAGAN-Lookahead_Minimax
Users that are interested in LAGAN-Lookahead_Minimax are comparing it to the libraries listed below
Sorting:
- ☆32Updated 4 years ago
- This is the code associated with the paper A Variational Inequality Perspective for Generative Adversarial Networks.☆41Updated 6 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆66Updated 6 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated 2 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- implements optimal transport algorithms in pytorch☆101Updated 3 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆147Updated 5 years ago
- ☆41Updated 2 years ago
- ☆13Updated 6 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆17Updated 6 years ago
- This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning"☆29Updated 7 years ago
- ☆124Updated last year
- ☆53Updated 4 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆57Updated 5 years ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆82Updated 5 years ago
- ☆21Updated last year
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆57Updated 4 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆66Updated 3 years ago
- CFG-GAN: Composite functional gradient learning of generative adversarial models☆15Updated 5 years ago
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Updated 5 years ago
- Training MMD GANs.☆86Updated 7 years ago
- Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch☆41Updated 2 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆64Updated 4 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆129Updated 2 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- [AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks☆24Updated 5 years ago
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago