afriesen / ftprop
Feasible target propagation code for the paper "Deep Learning as a Mixed Convex-Combinatorial Optimization Problem" by Friesen & Domingos (2018).
☆28Updated 6 years ago
Alternatives and similar repositories for ftprop:
Users that are interested in ftprop are comparing it to the libraries listed below
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆39Updated 6 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 6 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 3 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆26Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆39Updated 4 years ago
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- Learning to share: simultaneous parameter tying and sparsification in deep learning☆12Updated 6 years ago
- Optimizing control variates for black-box gradient estimation☆162Updated 5 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Logistic Circuits☆35Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆46Updated 4 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 5 years ago
- ☆132Updated 7 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- ☆24Updated 6 years ago
- ☆46Updated 6 years ago
- This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'☆21Updated 6 years ago
- This repository contains the code to reproduce the core results from the paper "The Numerics of GANs".☆46Updated 6 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 6 years ago