facebookresearch / brica
Word-order biases in deep-agent emergent communication
☆11Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for brica
- Emergent communication in agents learning about object affordances☆10Updated 5 years ago
- Cooperative Learning of Disjoint Syntax and Semantics☆49Updated 5 years ago
- Learning with latent language☆50Updated 3 years ago
- Analyzing Uncertainty in Neural Machine Translation☆32Updated 3 years ago
- Annotated bibliographies.☆40Updated 5 years ago
- ☆58Updated 3 years ago
- ☆18Updated 5 years ago
- ☆24Updated 6 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
- Measuring compositionality in representation learning☆70Updated 5 years ago
- Pragmatic models for generating and following instructions☆13Updated 4 years ago
- Finding Generalizable Evidence by Learning to Convince Q&A Models☆25Updated last year
- MLE-Guided Parameter Search (AAAI 2021)☆11Updated 3 years ago
- PyTorch code for meta seq2seq learning☆43Updated 4 years ago
- Emergent Communication of Generalizations, NeurIPS 2021☆14Updated 3 years ago
- On the pitfalls of measuring emergent communication☆34Updated 5 years ago
- ☆28Updated 2 years ago
- Code for Emergent Translation in Multi-Agent Communication☆80Updated 6 years ago
- Dataset and models for paper "Game-Based Video-Context Dialogue (EMNLP 2018)"☆19Updated 6 years ago
- ☆22Updated 3 years ago
- Non-Adversarial Unsupervised Word Translation☆27Updated 4 years ago
- This repo contains the analysis results reported in the paper "Grammar Induction with Neural Language Models: An Unusual Replication"☆48Updated 6 years ago
- Dataset and documentation for paper on explaining solutions to physical reasoning tasks (ESPRIT))☆21Updated 3 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 5 years ago
- Separating value functions across time-scales.☆17Updated 5 years ago
- Compositional generalization through meta sequence-to-sequence learning☆83Updated 4 years ago
- Experiment code for the ICLR 2020 paper "RTFM: Generalising to New Environment Dynamics via Reading".☆38Updated 3 years ago
- Website for TextVQA dataset.☆28Updated last year
- Implementation of "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs"☆77Updated 3 years ago
- Automatically Composing Representation Transformations as a Means for Generalization☆24Updated 5 years ago