Smerity / search_iclr_2019
☆30Updated 6 years ago
Alternatives and similar repositories for search_iclr_2019:
Users that are interested in search_iclr_2019 are comparing it to the libraries listed below
- ☆56Updated 6 years ago
- learning to search in pytorch☆110Updated 5 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 5 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 5 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 6 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- ☆79Updated 7 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆39Updated 6 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆73Updated 6 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- SparseMAP: differentiable sparse structure inference☆111Updated 6 years ago
- TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"☆30Updated 6 years ago
- Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)☆28Updated 6 years ago
- Determinantal Point Processes in Python (NumPy)☆24Updated 7 years ago
- Code for Emergent Translation in Multi-Agent Communication☆80Updated 6 years ago
- Policy based Active Learning with DQN (EMNLP-2017)☆88Updated 6 years ago
- ☆153Updated 7 years ago
- Code accompanying the OptionGAN paper.☆43Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- ☆28Updated 3 years ago
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆18Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Predictive State Recurrent Neural Networks☆18Updated 4 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Updated 7 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- Experiments with differentiable stacks and queues in PyTorch☆142Updated 5 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 7 years ago
- Distributed A3C☆34Updated 7 years ago