facebookresearch / productive_concept_learning
Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task that requires reasoning about uncertainty and learning compositionally rich and challenging concepts in a low-shot, meta-learning framework.
☆17Updated 3 years ago
Alternatives and similar repositories for productive_concept_learning:
Users that are interested in productive_concept_learning are comparing it to the libraries listed below
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆12Updated 4 years ago
- ☆18Updated 3 years ago
- Solving reinforcement learning tasks which require language and vision☆32Updated 2 years ago
- Learning with latent language☆51Updated 4 years ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆60Updated 4 years ago
- ☆15Updated 6 years ago
- Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick☆17Updated 7 years ago
- Optimally-weighted herding is Bayesian Quadrature☆16Updated 8 years ago
- Annotated bibliographies.☆40Updated 5 years ago
- ☆33Updated 4 years ago
- Logistic Circuits☆35Updated 5 years ago
- Public Release of Plan2vec Implementation in pyTorch☆56Updated 2 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 6 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆71Updated 2 years ago
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆26Updated 3 years ago
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆16Updated 5 years ago
- ☆30Updated 3 years ago
- Silly twitter torch implementations.☆46Updated 2 years ago
- Systematic generalization test for CLEVR☆15Updated 5 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Measuring compositionality in representation learning☆73Updated 5 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Translating neuralese☆44Updated 7 years ago
- Pragmatic models for generating and following instructions☆13Updated 5 years ago
- ☆42Updated 3 years ago