mingzhang-yin / ARM-gradientView external linksLinks
Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
☆27Mar 9, 2019Updated 6 years ago
Alternatives and similar repositories for ARM-gradient
Users that are interested in ARM-gradient are comparing it to the libraries listed below
Sorting:
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Jul 1, 2020Updated 5 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 last year
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆21Mar 24, 2023Updated 2 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 7 years ago
- Quadcopter Onboard Controller and Related Algorithms (with Android/ROS support)☆11Jan 18, 2017Updated 9 years ago
- Code for the Thermodynamic Variational Objective☆26Jun 21, 2022Updated 3 years ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Jun 20, 2018Updated 7 years ago
- ☆12Dec 20, 2019Updated 6 years ago
- Just another implementation of FiLM in PyTorch☆14Nov 2, 2017Updated 8 years ago
- A collection of code investigating the use of information theory for abstractions in RL☆16Nov 14, 2018Updated 7 years ago
- Implementation of the POIS algorithm☆15Apr 9, 2019Updated 6 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 2 years ago
- Model-based reinforcement learning using CEM, MPC and PETS☆16Nov 20, 2019Updated 6 years ago
- Models and Codes for the paper Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions☆14Aug 6, 2018Updated 7 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Jan 31, 2020Updated 6 years ago
- Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.☆17Aug 2, 2018Updated 7 years ago
- Optimizing control variates for black-box gradient estimation☆163Jul 26, 2019Updated 6 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Sep 20, 2015Updated 10 years ago
- Pytorch implementation of paper "Distillation Techniques for Pseudo-rehearsal Based Incremental Learning"☆14Dec 15, 2018Updated 7 years ago
- Implementation of Information Dropout☆39Jul 12, 2017Updated 8 years ago
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆20Feb 14, 2020Updated 6 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Jan 11, 2019Updated 7 years ago
- Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"☆19Oct 26, 2018Updated 7 years ago
- Stein Variational Policy Gradient for REINFORCE☆18Jul 12, 2017Updated 8 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆74Jun 1, 2024Updated last year
- ☆46Feb 23, 2018Updated 7 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Jul 27, 2017Updated 8 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Apr 30, 2019Updated 6 years ago
- ☆24May 1, 2025Updated 9 months ago
- kaggle-cvpr-2018-autonomous-driving-3rd place solution☆24Nov 2, 2018Updated 7 years ago
- Sparse Variational Dropout, ICML 2017☆313May 20, 2020Updated 5 years ago
- Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"☆29Jul 20, 2022Updated 3 years ago
- A simple Gridworld environment for Open AI gym☆25Jun 10, 2018Updated 7 years ago
- Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprec…☆21May 5, 2017Updated 8 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Apr 8, 2020Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Jun 28, 2019Updated 6 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆26Jun 7, 2018Updated 7 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Aug 22, 2018Updated 7 years ago
- Plannable Approximations to MDP Homomorphisms: Equivariance under Actions☆30Jun 30, 2020Updated 5 years ago