--- title: "Who cites Recurrent Highway Networks — 73 citing papers" description: "73 papers of the Elamur Research library cite «Recurrent Highway Networks», found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/papers/zilly-2016-recurrent-highway-networks/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zilly-2016-recurrent-highway-networks/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Recurrent Highway Networks](https://md.research.elamur.ai/free/en/papers/zilly-2016-recurrent-highway-networks/) / cited by # Who cites «Recurrent Highway Networks» 73 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← back to «Recurrent Highway Networks»](https://md.research.elamur.ai/free/en/papers/zilly-2016-recurrent-highway-networks/) 1. [**Neural Architecture Search with Reinforcement Learning arXiv:1611.01578**Barret Zoph, Quoc V. Le*2016 · 4,413 citations*](https://md.research.elamur.ai/free/en/papers/zoph-2016-neural-architecture-search-reinforcement-learning/) 2. [**Pointer Sentinel Mixture Models arXiv:1609.07843**Stephen Merity, Caiming Xiong, James Bradbury, et al.*2016 · 1,733 citations*](https://md.research.elamur.ai/free/en/papers/merity-2016-pointer-sentinel-mixture-models/) 3. **[Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph](https://md.research.elamur.ai/free/en/papers/zadeh-2018-multimodal-language-analysis-wild-cmu/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria, et al.*2018 · 1,522 citations* 4. **[Using the Output Embedding to Improve Language Models](https://md.research.elamur.ai/free/en/papers/press-2017-output-embedding-improve-language-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ofir Press, Lior Wolf*2017 · 909 citations* 5. [**Efficient Neural Architecture Search via Parameter Sharing arXiv:1802.03268**Hieu Pham, Melody Y. Guan, Barret Zoph, et al.*2018 · 699 citations*](https://md.research.elamur.ai/free/en/papers/pham-2018-efficient-neural-architecture-search-parameter/) 6. [**Regularizing and Optimizing LSTM Language Models arXiv:1708.02182**Stephen Merity, Nitish Shirish Keskar, Richard Socher*2017 · 633 citations*](https://md.research.elamur.ai/free/en/papers/merity-2017-regularizing-optimizing-lstm-language-models/) 7. [**Deep Learning Scaling is Predictable, Empirically arXiv:1712.00409**Joel Hestness, Sharan Narang, Newsha Ardalani, et al.*2017 · 518 citations*](https://md.research.elamur.ai/free/en/papers/hestness-2017-deep-learning-scaling-predictable-empirically/) 8. [**Regularizing Neural Networks by Penalizing Confident Output Distributions arXiv:1701.06548**Gabriel Pereyra, George Tucker, Jan Chorowski, et al.*2017 · 496 citations*](https://md.research.elamur.ai/free/en/papers/pereyra-2017-regularizing-neural-networks-penalizing-confident/) 9. [**Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling arXiv:1611.01462**Hakan Inan, Khashayar Khosravi, Richard Socher*2016 · 414 citations*](https://md.research.elamur.ai/free/en/papers/inan-2016-tying-word-vectors-word-classifiers/) 10. [**Compressive Transformers for Long-Range Sequence Modelling arXiv:1911.05507**Jack W. Rae, Anna Potapenko, Siddhant M. Jayakumar, et al.*2019 · 340 citations*](https://md.research.elamur.ai/free/en/papers/rae-2019-compressive-transformers-long-range-sequence/) 11. [**Hierarchical Multiscale Recurrent Neural Networks arXiv:1609.01704**Junyoung Chung, Sungjin Ahn, Yoshua Bengio*2016 · 288 citations*](https://md.research.elamur.ai/free/en/papers/chung-2016-hierarchical-multiscale-recurrent-neural-networks/) 12. **[Nematus: a Toolkit for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/sennrich-2017-nematus-toolkit-neural-machine-translation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Rico Sennrich, Orhan Firat, Kyunghyun Cho, et al.*2017 · 206 citations* 13. [**Improving Neural Language Models with a Continuous Cache arXiv:1612.04426**Edouard Grave, Armand Joulin, Nicolas Usunier*2016 · 179 citations*](https://md.research.elamur.ai/free/en/papers/grave-2016-improving-neural-language-models-continuous/) 14. **[Character-Level Language Modeling with Deeper Self-Attention](https://md.research.elamur.ai/free/en/papers/al-rfou-2018-character-level-language-modeling-deeper/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Rami Al-Rfou, Dokook Choe, Noah Constant, et al.*2018 · 138 citations* 59 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/zilly-2016-recurrent-highway-networks/) — Recurrent Highway Networks