dhh1995 / SCL
PyTorch implementation for The Scattering Compositional Learner (SCL)
☆32Updated 4 years ago
Alternatives and similar repositories for SCL:
Users that are interested in SCL are comparing it to the libraries listed below
- Measuring compositionality in representation learning☆73Updated 5 years ago
- Learning with latent language☆51Updated 4 years ago
- Grounded SCAN data set.☆69Updated 3 years ago
- This framework provides out-of-the-box implementations of Referential Games variants in order to study the emergence of artificial langua…☆22Updated last month
- Systematic generalization test for CLEVR☆15Updated 5 years ago
- A Pytorch implementation of "Measuring abstract reasoning in neural networks" in ICML 2018 by DeepMind☆38Updated last year
- An implementation of the MONet model for unsupervised scene decomposition in PyTorch☆58Updated 2 years ago
- Solving reinforcement learning tasks which require language and vision☆32Updated 2 years ago
- Learning Perceptual Inference by Contrasting☆27Updated 2 years ago
- Automatically Composing Representation Transformations as a Means for Generalization☆24Updated 5 years ago
- Annotated bibliographies.☆40Updated 5 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆35Updated last year
- Neural-Grammar-Symbolic Learning with Back-Search☆53Updated 8 months ago
- Z Forcing: Training Stochastic RNN's, NIPS'17☆32Updated 7 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- EfficientMORL (ICML'21)☆22Updated 3 years ago
- "CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020☆33Updated 4 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019☆48Updated 5 years ago
- Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]☆66Updated last year
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- The multi-modal sequence to sequence baseline neural models used in the Grounded SCAN paper.☆16Updated 4 years ago
- Pragmatic models for generating and following instructions☆13Updated 5 years ago
- BabyAI++: Towards Grounded language Learning beyond Memorization, ICLR BeTR-RL 2020☆25Updated 4 years ago
- Library for the training and evaluation of object-centric models (ICML 2022)☆68Updated last year
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆26Updated 3 years ago
- Official PyTorch implementation of "Improving Generative Imagination in Object-Centric World Models"☆35Updated 2 years ago
- Dataset and documentation for paper on explaining solutions to physical reasoning tasks (ESPRIT))☆21Updated 3 years ago