--- title: "ICLR 2016 — accepted papers — Elamur Research" description: "ICLR 2016 — 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/2016/" --- [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/2016/) [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/) / 2016 # ICLR 2016 — accepted papers ICLR 2016 is the 2016 edition of the International Conference on Learning Representations (ICLR). OpenAlex lists 8 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. [**8** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2016/#works) · [**228** citations of these works](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2016/#works) ## Most cited papers By their OpenAlex citations; a paper with our summary links to its page here, the others to the original. 1. **[Sequence Level Training with Recurrent Neural Networks ↗](http://dblp.uni-trier.de/db/conf/iclr/iclr2016.html#RanzatoCAZ15)**Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli et al.*572 citations* 2. **[Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks](https://md.research.elamur.ai/free/en/papers/weston-2015-towards-ai-complete-question-answering/)**Jason Weston, Antoine Bordes, Sumit Chopra et al.*166 citations · our summary* 3. **[Learning Visual Predictive Models of Physics for Playing Billiards ↗](https://www.eecs.berkeley.edu/~katef/papers/Physics.pdf)**Katerina Fragkiadaki, Pulkit Agrawal, Sergey Levine et al.*80 citations* 4. **[Stochastic Neural Networks for Hierarchical Reinforcement Learning ↗](https://openreview.net/pdf?id=B1oK8aoxe)**Carlos Florensa, Yan Duan, Pieter Abbeel*57 citations* 5. **[Neural Program Lattices ↗](https://openreview.net/pdf?id=HJjiFK5gx)**Chengtao Li, Daniel Tarlow, Alexander L. Gaunt et al.*19 citations* 6. **[Training Convolutional Neural Networks with Low-rank Filters for Efficient Image Classification ↗](https://www.microsoft.com/en-us/research/publication/training-convolutional-neural-networks-with-low-rank-filters-for-efficient-image-classification/)**Yani Ioannou, Duncan Robertson, Jamie Shotton et al.*4 citations* 7. **[Understanding Regularization by Virtual Adversarial Training, Ladder Networks and Others ↗](https://research.aalto.fi/en/publications/understanding-regularization-by-virtual-adversarial-training-ladder-networks-and-others(c289c52e-5e86-4a13-8aa0-1e261fa41021)/export.html)**Mudassar Abbas, Jyri Kivinen, Tapani Raiko*4 citations* 8. **[Training CNNs with Low-Rank Filters for Efficient Image Classification: ICLR 2016 Poster ↗](https://zenodo.org/record/53187/files/bposter.pdf)**Yani Ioannou*1 citation* ## All accepted papers (8) The most cited first; 1 with our summary link to their page here, the others to the original. 1. **[Sequence Level Training with Recurrent Neural Networks ↗](http://dblp.uni-trier.de/db/conf/iclr/iclr2016.html#RanzatoCAZ15)**Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli et al.*572 citations* 2. **[Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks](https://md.research.elamur.ai/free/en/papers/weston-2015-towards-ai-complete-question-answering/)**Jason Weston, Antoine Bordes, Sumit Chopra et al.*166 citations · our summary* 3. **[Learning Visual Predictive Models of Physics for Playing Billiards ↗](https://www.eecs.berkeley.edu/~katef/papers/Physics.pdf)**Katerina Fragkiadaki, Pulkit Agrawal, Sergey Levine et al.*80 citations* 4. **[Stochastic Neural Networks for Hierarchical Reinforcement Learning ↗](https://openreview.net/pdf?id=B1oK8aoxe)**Carlos Florensa, Yan Duan, Pieter Abbeel*57 citations* 5. **[Neural Program Lattices ↗](https://openreview.net/pdf?id=HJjiFK5gx)**Chengtao Li, Daniel Tarlow, Alexander L. Gaunt et al.*19 citations* 6. **[Training Convolutional Neural Networks with Low-rank Filters for Efficient Image Classification ↗](https://www.microsoft.com/en-us/research/publication/training-convolutional-neural-networks-with-low-rank-filters-for-efficient-image-classification/)**Yani Ioannou, Duncan Robertson, Jamie Shotton et al.*4 citations* 7. **[Understanding Regularization by Virtual Adversarial Training, Ladder Networks and Others ↗](https://research.aalto.fi/en/publications/understanding-regularization-by-virtual-adversarial-training-ladder-networks-and-others(c289c52e-5e86-4a13-8aa0-1e261fa41021)/export.html)**Mudassar Abbas, Jyri Kivinen, Tapani Raiko*4 citations* 8. **[Training CNNs with Low-Rank Filters for Efficient Image Classification: ICLR 2016 Poster ↗](https://zenodo.org/record/53187/files/bposter.pdf)**Yani Ioannou*1 citation* ## Papers with our summary in our library (1) The most cited first (OpenAlex citations plus our library's). 1. **[Tracking the World State with Recurrent Entity Networks](https://md.research.elamur.ai/free/en/papers/henaff-2016-tracking-world-state-recurrent-entity/) [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)**Mikael Henaff, Jason Weston, Arthur Szlam, et al.*2016 · 228 citations* ## Fields [Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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. [🧑‍🔬**Antoine Bordes**1 work here · 228 citations](https://md.research.elamur.ai/free/en/authors/antoine-bordes/) · [🧑‍🔬**Arthur D. Szlam**1 work here · 228 citations](https://md.research.elamur.ai/free/en/authors/arthur-d-szlam/) · [🧑‍🔬**Jason Weston**1 work here · 228 citations](https://md.research.elamur.ai/free/en/authors/jason-weston/) · [🧑‍🔬**Yann Lecun**1 work here · 228 citations](https://md.research.elamur.ai/free/en/authors/yann-lecun/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🏢**Meta** Menlo Park · United States 1 work here](https://md.research.elamur.ai/free/en/companies/meta/) · [🎓**New York University** New York · United States 1 work here](https://md.research.elamur.ai/free/en/universities/new-york-university/) works and citations from OpenAlex and our library. - [← previous ICLR 2015](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2015/) - [next → ICLR 2019](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2019/) - [↑ back to ICLR](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)