UCLA-StarAI / Semantic-LossLinks
Semantic Loss code
☆62Updated 6 years ago
Alternatives and similar repositories for Semantic-Loss
Users that are interested in Semantic-Loss are comparing it to the libraries listed below
Sorting:
- ☆65Updated last year
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆132Updated 5 years ago
- ☆35Updated 4 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 7 years ago
- A Pytorch implementation of "Measuring abstract reasoning in neural networks" in ICML 2018 by DeepMind☆37Updated 2 years ago
- PyTorch implementation for The Scattering Compositional Learner (SCL)☆32Updated 5 years ago
- Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Jo…☆53Updated 4 years ago
- ☆40Updated 5 years ago
- Code for "Recurrent Independent Mechanisms"☆120Updated 3 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 3 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆26Updated 7 years ago
- Learning with latent language☆51Updated 4 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- Logistic Circuits☆36Updated 6 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆73Updated 7 years ago
- Code for the "Neural Expectation Maximization" paper.☆126Updated 3 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 7 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆31Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Conditional Theorem Proving☆54Updated 4 years ago
- ☆77Updated 8 years ago
- Lagrangian VAE☆28Updated 7 years ago
- ☆78Updated 4 years ago
- Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.☆73Updated 3 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆130Updated 2 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Updated 4 years ago