[ICLR 2022] Linking Emergent and Natural Languages via Corpus Transfer
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Updated
Jun 2, 2024 - Python
[ICLR 2022] Linking Emergent and Natural Languages via Corpus Transfer
Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity".
PyTorch implementation of "PatchGame: Learning to Signal Mid-level Patches in Referential Games" to appear in NeurIPS 2021
RL environment replicating the werewolf game to study emergent communication
Code repository for On the interaction between supervision and self-play in emergent communication (ICLR 2020)
Emergent Communication Pretraining for Few-Shot Machine Translation
Code accompanying the paper Measuring non-trivial compositionality in emergent communication
Code repository for Capacity, Bandwidth, and Compositionality in Emergent Language Learning (AAMAS 2020)
Project describing how social complexity relates to communication complexity
Implementation of the Asynchronous Advantage Actor Critic with Communication in TensorFlow 2
Emergent communication in multi-agent RL
[ICLR 2022] Linking Emergent and Natural Languages via Corpus Transfer
Code acompanying the paper Developmentally motivated emergence of compositional communication via template transfer
Research project seeking to bridge the gap between representation learning and emergent communication
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