gd-zhang / noisy-quadratic-modelLinks
Large-batch Training, Neural Network Optimization
☆9Updated 5 years ago
Alternatives and similar repositories for noisy-quadratic-model
Users that are interested in noisy-quadratic-model are comparing it to the libraries listed below
Sorting:
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- ☆49Updated 4 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- Pytorch optimizers implementing Hilbert Constrained Gradient Descent☆19Updated 6 years ago
- ☆12Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 4 months ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Updated 4 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- ☆26Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- ☆34Updated 3 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Updated 4 years ago
- ☆37Updated 6 years ago