---
title: "Aaron Courville — all works — Elamur Research"
description: "All 35 works of Aaron Courville in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/aaron-courville/works/"
---
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# Aaron Courville — all works

35 works · [← Aaron Courville](https://md.research.elamur.ai/free/en/authors/aaron-courville/)

1. [**Show, Attend and Tell: Neural Image Caption Generation with Visual Attention arXiv:1502.03044**Kelvin Xu, Jimmy Ba, Ryan Kiros, et al.*2015 · 7,670 citations*](https://md.research.elamur.ai/free/en/papers/xu-2015-show-attend-tell-neural-image/)
2. **[Generative Adversarial Nets ↗](https://arxiv.org/abs/1406.2661) arXiv (Cornell University) · no summary yet**Ian J. Goodfellow et al.*2014 · 5,790 citations*
3. **[Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models](https://md.research.elamur.ai/free/en/papers/serban-2015-building-end-end-dialogue-systems/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Iulian V. Serban, Alessandro Sordoni, Yoshua Bengio, et al.*2015 · 551 citations*
4. **[A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues](https://md.research.elamur.ai/free/en/papers/serban-2016-hierarchical-latent-variable-encoder-decoder/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, et al.*2016 · 547 citations*
5. [**FiLM: Visual Reasoning with a General Conditioning Layer arXiv:1709.07871**Ethan Perez, Florian Strub, Harm de Vries, et al.*2017 · 400 citations*](https://md.research.elamur.ai/free/en/papers/perez-2017-film-visual-reasoning-general-conditioning/)
6. [**Representation Learning: A Review and New Perspectives arXiv:1206.5538**Yoshua Bengio, Aaron Courville, Pascal Vincent*2012 · 383 citations*](https://md.research.elamur.ai/free/en/papers/bengio-2012-representation-learning-review-new-perspectives/)
7. **[Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks ↗](https://doi.org/10.1109/tmm.2015.2477044) IEEE Transactions on Multimedia · no summary yet**Kyunghyun Cho, Aaron C. Courville, Yoshua Bengio*2015 · 361 citations*
8. **[Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus ↗](https://aclanthology.org/P16-1056/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Iulian Vlad Serban et al.*2016 · 351 citations*
9. [**An Actor-Critic Algorithm for Sequence Prediction arXiv:1607.07086**Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, et al.*2016 · 335 citations*](https://md.research.elamur.ai/free/en/papers/bahdanau-2016-actor-critic-algorithm-sequence-prediction/)
10. **[ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation ↗](https://doi.org/10.1109/cvprw.2016.60) IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yet**Francesco Visin et al.*2016 · 285 citations*
11. **[Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation ↗](https://doi.org/10.1609/aaai.v31i1.10984) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Iulian Vlad Serban et al.*2017 · 229 citations*
12. **[ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks ↗](https://arxiv.org/abs/1505.00393) arXiv (Cornell University) · no summary yet**Francesco Visin et al.*2015 · 228 citations*
13. **[Describing Videos by Exploiting Temporal Structure ↗](https://arxiv.org/abs/1502.08029) arXiv (Cornell University) · no summary yet**Yao, Li et al.*2015 · 193 citations*
14. **[GuessWhat?! Visual object discovery through multi-modal dialogue ↗](https://arxiv.org/abs/1611.08481) arXiv:1611.08481 · no summary yet**Harm de Vries et al.*2016 · 147 citations*
15. **[Straight to the Tree: Constituency Parsing with Neural Syntactic Distance ↗](https://aclanthology.org/P18-1108/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yikang Shen et al.*2018 · 132 citations*
16. **[Multi-Prediction Deep Boltzmann Machines ↗](https://openalex.org/W2098617596) neural information processing systems · no summary yet**Ian Goodfellow et al.*2013 · 121 citations*
17. [**V-STaR: Training Verifiers for Self-Taught Reasoners arXiv:2402.06457**Arian Hosseini, Xingdi Yuan, Nikolay Malkin, et al.*2024 · 114 citations*](https://md.research.elamur.ai/free/en/papers/hosseini-2024-v-star-training-verifiers-self/)
18. **[Understanding by Understanding Not: Modeling Negation in Language Models](https://md.research.elamur.ai/free/en/papers/hosseini-2021-understanding-understanding-not-modeling-negation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, et al.*2021 · 98 citations*
19. **[Teaching Algorithmic Reasoning via In-context Learning ↗](https://arxiv.org/abs/2211.09066) arXiv:2211.09066 · no summary yet**Hattie Zhou et al.*2022 · 96 citations*
20. **[Deep Reinforcement Learning at the Edge of the Statistical Precipice ↗](https://arxiv.org/abs/2108.13264) arXiv:2108.13264 · no summary yet**Rishabh Agarwal et al.*2021 · 90 citations*
21. **[Learning Distributed Representations from Reviews for Collaborative Filtering ↗](https://doi.org/10.1145/2792838.2800192) ACM Conference on Recommender Systems (RecSys) · no summary yet**Amjad Almahairi et al.*2015 · 85 citations*
22. **[Systematic Generalization: What Is Required and Can It Be Learned? ↗](https://arxiv.org/abs/1811.12889) arXiv:1811.12889 · no summary yet**Dzmitry Bahdanau et al.*2018 · 73 citations*
23. **[CLOSURE: Assessing Systematic Generalization of CLEVR Models ↗](https://arxiv.org/abs/1912.05783) arXiv (Cornell University) · no summary yet**Dzmitry Bahdanau et al.*2019 · 67 citations*
24. **[VinePPO: Refining Credit Assignment in RL Training of LLMs ↗](https://arxiv.org/abs/2410.01679) arXiv:2410.01679 · no summary yet**Amirhossein Kazemnejad et al.*2024 · 63 citations*
25. **[StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling ↗](https://aclanthology.org/2021.acl-long.559/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Yikang Shen et al.*2021 · 48 citations*
26. **[Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention Mechanism ↗](http://dblp.uni-trier.de/db/journals/corr/corr1502.html#YaoTCBPLC15) arXiv (Cornell University) · no summary yet**Yao Li et al.*2015 · 43 citations*
27. [**First Result on Arabic Neural Machine Translation arXiv:1606.02680**Amjad Almahairi, Kyunghyun Cho, Nizar Habash, et al.*2016 · 40 citations*](https://md.research.elamur.ai/free/en/papers/almahairi-2016-first-result-arabic-neural-machine/)
28. **[Task Loss Estimation for Sequence Prediction ↗](https://arxiv.org/abs/1511.06456) arXiv (Cornell University) · no summary yet**Dzmitry Bahdanau et al.*2015 · 29 citations*
29. **[On the Compositional Generalization Gap of In-Context Learning ↗](https://aclanthology.org/2022.blackboxnlp-1.22/) Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP · no summary yet**Arian Hosseini et al.*2022 · 21 citations*
30. [**Investigating Biases in Textual Entailment Datasets arXiv:1906.09635**Shawn Tan, Yikang Shen, Chin-wei Huang, et al.*2019 · 7 citations*](https://md.research.elamur.ai/free/en/papers/tan-2019-investigating-biases-textual-entailment-datasets/)
31. **[Task Loss Estimation for Structured Prediction ↗](https://openalex.org/W2906030164) no summary yet**Dzmitry Bahdanau et al.*2016 · 5 citations*
32. **[SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision ↗](https://doi.org/10.1007/978-3-031-72848-8_14) Lecture notes in computer science · no summary yet**Ankit Vani et al.*2024 · 3 citations*
33. **[A Controller-Recognizer Framework: How necessary is recognition for control? ↗](https://arxiv.org/abs/1511.06428) arXiv (Cornell University) · no summary yet**Marcin Moczulski et al.*2015 · 1 citation*
34. **[GitSwarm: Decentralized Compounding Inference ↗](https://arxiv.org/abs/2610.04862) arXiv (Cornell University) · no summary yet**Vedant Shah et al.*2026*
35. **[ReSeg:意味論的セグメンテーションのためのリカレントニューラルネットワークに基づくモデル【Powered by NICT】 ↗](https://openalex.org/W3098762344) IEEE Conference Proceedings · no summary yet**Francesco Visin et al.*2016*