vinayprabhu / Disentanglement_NEURIPS_2019
On disentangling the menagerie of disentanglement papers
☆27Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Disentanglement_NEURIPS_2019
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- ☆73Updated 6 months ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆50Updated 7 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- Quantitative evaluation of disentangled representations☆60Updated 6 years ago
- Starter Kit for the NeurIPS 2019 Disentanglement Challenge☆33Updated 2 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 6 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 4 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
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 3 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆67Updated 5 years ago
- ☆89Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- PyTorch Implementation of Neural Statistician☆59Updated 2 years ago
- Code for Variational Laplace Autoencoders☆54Updated last year
- This repository is no longer maintained. Check☆82Updated 4 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆39Updated 5 years ago
- A library for evaluating representations.☆76Updated 2 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆60Updated last year
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- Notes from NeurIPS 2019☆29Updated 4 years ago
- ☆61Updated last year
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆83Updated 2 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆147Updated 5 years ago
- Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"☆76Updated 4 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Explore OpenReview papers for ICLR (with citation counts, acceptance status, and ratings)!☆86Updated 3 years ago