Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
☆27Mar 9, 2019Updated 7 years ago
Alternatives and similar repositories for ARM-gradient
Users that are interested in ARM-gradient are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Jul 1, 2020Updated 6 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Oct 16, 2024Updated 2 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 3 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Jan 11, 2019Updated 7 years ago
- ☆13Apr 8, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆12Dec 20, 2019Updated 6 years ago
- Implementation of Information Dropout☆40Jul 12, 2017Updated 9 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Sep 20, 2015Updated 11 years ago
- A dataset for realistic evaluation of noisy label methods☆15Dec 3, 2023Updated 2 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 8 years ago
- Repository for conditional transport☆15Jan 12, 2022Updated 4 years ago
- ☆17Oct 22, 2020Updated 6 years ago
- Learning Autoencoders with Relational Regularization☆46Oct 8, 2020Updated 6 years ago
- ☆47Jan 11, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Apr 30, 2019Updated 7 years ago
- Just another implementation of FiLM in PyTorch☆14Nov 2, 2017Updated 9 years ago
- Dataset and models for paper "Game-Based Video-Context Dialogue (EMNLP 2018)"☆19Oct 25, 2018Updated 8 years ago
- Sparse Variational Dropout, ICML 2017☆313May 20, 2020Updated 6 years ago
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆21Feb 14, 2020Updated 6 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆38Mar 8, 2018Updated 8 years ago
- Code for the Thermodynamic Variational Objective☆26Jun 21, 2022Updated 4 years ago
- BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet☆17Dec 5, 2018Updated 7 years ago
- The implementation for the paper "Adversarial Supervised Contrastive Learning"☆11Jan 31, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Jan 31, 2020Updated 6 years ago
- This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 20…☆55Mar 11, 2022Updated 4 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆42Aug 7, 2018Updated 8 years ago
- Optimizing control variates for black-box gradient estimation☆163Jul 26, 2019Updated 7 years ago
- This is th code to FAT method with links to quantized tflite models. (CC BY-NC-ND)☆19Dec 20, 2018Updated 7 years ago
- ☆19Nov 2, 2022Updated 4 years ago
- Chainer implementation of Improved Techniques for Training GANs☆10Apr 20, 2017Updated 9 years ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Jun 20, 2018Updated 8 years ago
- visual dialog model in pytorch☆109May 16, 2018Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 6 years ago
- ☆13Jun 24, 2020Updated 6 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆85Nov 29, 2021Updated 4 years ago
- Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.☆13Jun 10, 2019Updated 7 years ago
- ☆25Aug 19, 2024Updated 2 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Jun 28, 2019Updated 7 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆23Nov 28, 2022Updated 3 years ago