CUAI / BetterSetRepresentationsLinks
[NeurIPS 2020] Better Set Representations For Relational Reasoning (https://arxiv.org/abs/2003.04448)
☆30Updated 4 years ago
Alternatives and similar repositories for BetterSetRepresentations
Users that are interested in BetterSetRepresentations are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated last year
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- EfficientMORL (ICML'21)☆21Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆35Updated last year
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- Code, data and benchmark from the paper "Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences".☆36Updated 3 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆63Updated 3 years ago
- Memory efficient MAML using gradient checkpointing☆84Updated 5 years ago
- ☆63Updated last year
- ☆32Updated 6 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Library for the training and evaluation of object-centric models (ICML 2022)☆68Updated 2 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 3 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- An implementation of the MONet model for unsupervised scene decomposition in PyTorch☆58Updated 3 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- ☆21Updated 3 years ago
- ☆34Updated 3 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago