📰 ICLR 2019 — accepted papers

ICLR 2019 is the 2019 edition of the International Conference on Learning Representations (ICLR). OpenAlex lists 52 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.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. Music Transformer: Generating Music with Long-Term Structure ↗Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit et al.292 citations
2. DyRep: Learning Representations over Dynamic Graphs ↗Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal et al.210 citations
3. Eidetic 3D LSTM: A Model for Video Prediction and Beyond ↗Yunbo Wang, Lu Jiang, Ming Hsuan Yang et al.179 citations
4. Supervised community detection with line graph neural networks ↗Zhengdao Chen, Lisha Li, Joan Bruna99 citations
5. OVERCOMING CATASTROPHIC FORGETTING FOR CONTINUAL LEARNING VIA MODEL ADAPTATION ↗Wenpeng Hu, Lin Zhou, Bing Liu et al.72 citations
6. Understanding Posterior Collapse in Generative Latent Variable Models ↗James Lucas, George Tucker, Roger Grosse et al.72 citations
7. Integer Networks for Data Compression with Latent-Variable Models ↗Johannes Ballé, Nick Johnston, David C. Minnen51 citations
8. FVD: A new Metric for Video Generation ↗Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach et al.43 citations
9. Fully differentiable full-atom protein backbone generation ↗Namrata Anand, Raphael R. Eguchi, Po‐Ssu Huang38 citations
10. Variational Autoencoder with Arbitrary Conditioning ↗О. А. Иванов, Michael Figurnov, Dmitry Vetrov37 citations

All accepted papers (52)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. Music Transformer: Generating Music with Long-Term Structure ↗Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit et al.292 citations
2. DyRep: Learning Representations over Dynamic Graphs ↗Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal et al.210 citations
3. Eidetic 3D LSTM: A Model for Video Prediction and Beyond ↗Yunbo Wang, Lu Jiang, Ming Hsuan Yang et al.179 citations
4. Supervised community detection with line graph neural networks ↗Zhengdao Chen, Lisha Li, Joan Bruna99 citations
5. OVERCOMING CATASTROPHIC FORGETTING FOR CONTINUAL LEARNING VIA MODEL ADAPTATION ↗Wenpeng Hu, Lin Zhou, Bing Liu et al.72 citations
6. Understanding Posterior Collapse in Generative Latent Variable Models ↗James Lucas, George Tucker, Roger Grosse et al.72 citations
7. Integer Networks for Data Compression with Latent-Variable Models ↗Johannes Ballé, Nick Johnston, David C. Minnen51 citations
8. FVD: A new Metric for Video Generation ↗Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach et al.43 citations
9. Fully differentiable full-atom protein backbone generation ↗Namrata Anand, Raphael R. Eguchi, Po‐Ssu Huang38 citations
10. Variational Autoencoder with Arbitrary Conditioning ↗О. А. Иванов, Michael Figurnov, Dmitry Vetrov37 citations
11. A new dog learns old tricks: RL finds classic optimization algorithms ↗Weiwei Kong, Christopher Liaw, Aranyak Mehta et al.28 citations
12. Buy 4 REINFORCE Samples, Get a Baseline for Free! ↗Wouter Kool, Herke van Hoof, Max Welling25 citations
13. Probgan: Towards probabilistic GaN with theoretical guarantees ↗Hao He, Hao Wang, Guang He Lee et al.23 citations
14. A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery ↗Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk18 citations
15. On Computation and Generalization of Generative Adversarial Networks under Spectrum Control ↗Haoming Jiang, Zhehui Chen, Minshuo Chen et al.16 citations
16. Generating Diverse High-Resolution Images with VQ-VAE ↗Ali Shervin Razavi, Aäron van den Oord, Oriol Vinyals14 citations
17. Efficient and Robust Asynchronous Federated Learning with Stragglers ↗Ming Chen, Bingcheng Mao, Tianyi Ma11 citations
18. Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies ↗Kenneth Marino, Abhinav Gupta, Rob Fergus et al.10 citations
19. Minigo: A Case Study in Reproducing Reinforcement Learning Research. ↗Brian Lee, Andrew Jackson, T. Madams et al.9 citations
20. Robust Reinforcement Learning for Autonomous Driving ↗Yesmina Jaafra, Jean Luc Laurent, Aline Deruyver et al.9 citations
21. Random mesh projectors for inverse problems ↗Konik Kothari, Sidharth Gupta, Maarten V. de Hoop et al.8 citations
22. Learning to Defense by Learning to Attack. ↗Zhehui Chen, Haoming Jiang, Yuyang Shi et al.6 citations
23. Interactive Visual Exploration of Latent Space (IVELS) for Peptide Auto-Encoder Model Selection ↗Tom Sercu, Sebastian Gehrmann, Hendrik Strobelt et al.5 citations
24. Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo ↗Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu et al.5 citations
25. Understanding the Relation Between Maximum-Entropy Inverse Reinforcement Learning and Behaviour Cloning. ↗Seyed Kamyar Seyed Ghasemipour, Shane Gu, Richard S. Zemel5 citations

See all 52 papers in ICLR 2019 — accepted papers →

📄 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. Deep Batch Active Learning by Diverse, Uncertain Gradient Lower BoundsInternational Conference on Learning Representations (ICLR)Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, et al.2019 · 362 citations

📚 Fields

🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

works and citations from OpenAlex and our library.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2019/