--- title: "ICLR 2014 — accepted papers — Elamur Research" description: "ICLR 2014 — accepted papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations." canonical: "https://research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2014/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2014/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [ICLR](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/) / 2014 # ICLR 2014 — accepted papers ICLR 2014 is the 2014 edition of the International Conference on Learning Representations (ICLR). OpenAlex lists 6 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions. [**6** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2014/#works) · [**715** citations of these works](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2014/#works) ## Most cited papers By their OpenAlex citations; a paper with our summary links to its page here, the others to the original. 1. **[How to Construct Deep Recurrent Neural Networks ↗](http://lib-arxiv-008.serverfarm.cornell.edu/pdf/1312.6026)**Razvan Pascanu, Çağlar Gülçehre, Kyunghyun Cho et al.*561 citations* 2. **[Fast Training of Convolutional Networks through FFTs ↗](http://yann.lecun.com/exdb/publis/pdf/mathieu-iclr-14.pdf)**Michaël Mathieu, Mikael Henaff, Yann LeCun*315 citations* 3. **[Exact solutions to the nonlinear dynamics of learning in deep linear neural networks ↗](http://ganguli-gang.stanford.edu/pdf/DynamLearn.pdf)**Andrew Saxe, James L. McClelland, Surya Ganguli*291 citations* 4. **[Overfeat: Integrated recognition, localization and detection using convolutional networks. 2nd International Conference on Learning Representations, ICLR 2014 ↗](https://nyuscholars.nyu.edu/en/publications/overfeat-integrated-recognition-localization-and-detection-using--2)**Pierre Sermanet, David Eigen, Xiang Zhang et al.*24 citations* 5. **[Fast training of convolutional networks through FFTS: International Conference on Learning Representations (ICLR2014), CBLS, April 2014 ↗](https://nyuscholars.nyu.edu/en/publications/fast-training-of-convolutional-networks-through-ffts-internationa)**Michaël Mathieu, Mikael Henaff, Yann LeCun*6 citations* 6. **[Understanding deep architectures using a recursive convolutional network: 2nd International Conference on Learning Representations, ICLR 2014 ↗](https://nyuscholars.nyu.edu/en/publications/understanding-deep-architectures-using-a-recursive-convolutional--2)**David Eigen, Jason Tyler Rolfe, Rob Fergus et al.*1 citation* ## All accepted papers (6) The most cited first; 1 with our summary link to their page here, the others to the original. 1. **[How to Construct Deep Recurrent Neural Networks ↗](http://lib-arxiv-008.serverfarm.cornell.edu/pdf/1312.6026)**Razvan Pascanu, Çağlar Gülçehre, Kyunghyun Cho et al.*561 citations* 2. **[Fast Training of Convolutional Networks through FFTs ↗](http://yann.lecun.com/exdb/publis/pdf/mathieu-iclr-14.pdf)**Michaël Mathieu, Mikael Henaff, Yann LeCun*315 citations* 3. **[Exact solutions to the nonlinear dynamics of learning in deep linear neural networks ↗](http://ganguli-gang.stanford.edu/pdf/DynamLearn.pdf)**Andrew Saxe, James L. McClelland, Surya Ganguli*291 citations* 4. **[Overfeat: Integrated recognition, localization and detection using convolutional networks. 2nd International Conference on Learning Representations, ICLR 2014 ↗](https://nyuscholars.nyu.edu/en/publications/overfeat-integrated-recognition-localization-and-detection-using--2)**Pierre Sermanet, David Eigen, Xiang Zhang et al.*24 citations* 5. **[Fast training of convolutional networks through FFTS: International Conference on Learning Representations (ICLR2014), CBLS, April 2014 ↗](https://nyuscholars.nyu.edu/en/publications/fast-training-of-convolutional-networks-through-ffts-internationa)**Michaël Mathieu, Mikael Henaff, Yann LeCun*6 citations* 6. **[Understanding deep architectures using a recursive convolutional network: 2nd International Conference on Learning Representations, ICLR 2014 ↗](https://nyuscholars.nyu.edu/en/publications/understanding-deep-architectures-using-a-recursive-convolutional--2)**David Eigen, Jason Tyler Rolfe, Rob Fergus et al.*1 citation* ## Papers with our summary in our library (1) The most cited first (OpenAlex citations plus our library's). 1. **[Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)](https://md.research.elamur.ai/free/en/papers/mao-2014-deep-captioning-multimodal-recurrent-neural/) [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)**Junhua Mao, Wei Xu, Yi Yang, et al.*2014 · 715 citations* ## Top topics Topics of its works in our library, with the number of works on each. [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Fields [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Alan Yuille**1 work here · 715 citations](https://md.research.elamur.ai/free/en/authors/alan-yuille/) · [🧑‍🔬**Junhua Mao**1 work here · 715 citations](https://md.research.elamur.ai/free/en/authors/junhua-mao/) · [🧑‍🔬**Wei Hong Xu**1 work here · 715 citations](https://md.research.elamur.ai/free/en/authors/wei-hong-xu/) · [🧑‍🔬**Yi Yang**1 work here · 715 citations](https://md.research.elamur.ai/free/en/authors/yi-yang/) · [🧑‍🔬**Zhiheng Huang**1 work here · 715 citations](https://md.research.elamur.ai/free/en/authors/zhiheng-huang/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**University of California, Los Angeles** Los Angeles · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) · [🏢**Baidu** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/companies/baidu/) works and citations from OpenAlex and our library. - [next → ICLR 2015](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2015/) - [↑ back to ICLR](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)