Rahma Chaabouni

Affiliations:
  • DeepMind
  • PSL Research Paris, Ecole Normale Superieure, Cognitive Machine Learning, ENS - EHESS, France (PhD 2021)
  • Facebook AI Research, LSCP (former)


According to our database1, Rahma Chaabouni authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Language Evolution with Deep Learning.
CoRR, 2024

Memory Consolidation Enables Long-Context Video Understanding.
CoRR, 2024

2022
Emergent Communication at Scale.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Emerging linguistic universals in communicating neural network agents. (Les universaux linguistiques émergeant dans les réseaux de neurones communicants).
PhD thesis, 2021

What they do when in doubt: a study of inductive biases in seq2seq learners.
Proceedings of the 9th International Conference on Learning Representations, 2021

Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN.
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2020
Entropy Minimization In Emergent Languages.
Proceedings of the 37th International Conference on Machine Learning, 2020

"LazImpa": Lazy and Impatient neural agents learn to communicate efficiently.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Compositionality and Generalization In Emergent Languages.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Information Minimization In Emergent Languages.
CoRR, 2019

Anti-efficient encoding in emergent communication.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

EGG: a toolkit for research on Emergence of lanGuage in Games.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Word-order Biases in Deep-agent Emergent Communication.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017
Learning Weakly Supervised Multimodal Phoneme Embeddings.
Proceedings of the Interspeech 2017, 2017


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