---
title: "ICLR 2019 — all accepted papers with summaries and citations"
description: "All 52 papers of ICLR 2019, the most cited first; those with our summary link to it. Among them: Music Transformer: Generating Music with…"
canonical: "https://research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2019/papers/"
---
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# ICLR 2019: all accepted papers

52 papers · the most cited first · [← ICLR 2019](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2019/)

1. **[Music Transformer: Generating Music with Long-Term Structure ↗](https://openreview.net/pdf?id=rJe4ShAcF7)**Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit et al.*292 citations*
2. **[DyRep: Learning Representations over Dynamic Graphs ↗](https://openreview.net/pdf?id=HyePrhR5KX)**Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal et al.*210 citations*
3. **[Eidetic 3D LSTM: A Model for Video Prediction and Beyond ↗](https://openreview.net/pdf?id=B1lKS2AqtX)**Yunbo Wang, Lu Jiang, Ming Hsuan Yang et al.*179 citations*
4. **[Supervised community detection with line graph neural networks ↗](https://openreview.net/pdf?id=H1g0Z3A9Fm)**Zhengdao Chen, Lisha Li, Joan Bruna*99 citations*
5. **[OVERCOMING CATASTROPHIC FORGETTING FOR CONTINUAL LEARNING VIA MODEL ADAPTATION ↗](https://openreview.net/pdf?id=ryGvcoA5YX)**Wenpeng Hu, Lin Zhou, Bing Liu et al.*72 citations*
6. **[Understanding Posterior Collapse in Generative Latent Variable Models ↗](https://openreview.net/pdf?id=r1xaVLUYuE)**James Lucas, George Tucker, Roger Grosse et al.*72 citations*
7. **[Integer Networks for Data Compression with Latent-Variable Models ↗](https://openreview.net/pdf?id=S1zz2i0cY7)**Johannes Ballé, Nick Johnston, David C. Minnen*51 citations*
8. **[FVD: A new Metric for Video Generation ↗](https://openreview.net/pdf?id=rylgEULtdN)**Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach et al.*43 citations*
9. **[Fully differentiable full-atom protein backbone generation ↗](https://openreview.net/pdf?id=SJxnVL8YOV)**Namrata Anand, Raphael R. Eguchi, Po‐Ssu Huang*38 citations*
10. **[Variational Autoencoder with Arbitrary Conditioning ↗](https://openreview.net/pdf?id=SyxtJh0qYm)**О. А. Иванов, Michael Figurnov, Dmitry Vetrov*37 citations*
11. **[A new dog learns old tricks: RL finds classic optimization algorithms ↗](https://openreview.net/pdf?id=rkluJ2R9KQ)**Weiwei Kong, Christopher Liaw, Aranyak Mehta et al.*28 citations*
12. **[Buy 4 REINFORCE Samples, Get a Baseline for Free! ↗](https://openreview.net/pdf?id=r1lgTGL5DE)**Wouter Kool, Herke van Hoof, Max Welling*25 citations*
13. **[Probgan: Towards probabilistic GaN with theoretical guarantees ↗](https://dblp.uni-trier.de/db/conf/iclr/iclr2019.html#HeWLT19)**Hao He, Hao Wang, Guang He Lee et al.*23 citations*
14. **[A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery ↗](https://openreview.net/pdf?id=B1xVTjCqKQ)**Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk*18 citations*
15. **[On Computation and Generalization of Generative Adversarial Networks under Spectrum Control ↗](https://openreview.net/pdf?id=rJNH6sAqY7)**Haoming Jiang, Zhehui Chen, Minshuo Chen et al.*16 citations*
16. **[Generating Diverse High-Resolution Images with VQ-VAE ↗](https://dblp.uni-trier.de/db/conf/iclr/dgs2019.html#RazaviOV19)**Ali Shervin Razavi, Aäron van den Oord, Oriol Vinyals*14 citations*
17. **[Efficient and Robust Asynchronous Federated Learning with Stragglers ↗](https://openreview.net/pdf?id=B1lL9grYDS)**Ming Chen, Bingcheng Mao, Tianyi Ma*11 citations*
18. **[Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies ↗](https://openreview.net/pdf?id=SJz1x20cFQ)**Kenneth Marino, Abhinav Gupta, Rob Fergus et al.*10 citations*
19. **[Minigo: A Case Study in Reproducing Reinforcement Learning Research. ↗](https://openreview.net/pdf?id=H1eerhIpLV)**Brian Lee, Andrew Jackson, T. Madams et al.*9 citations*
20. **[Robust Reinforcement Learning for Autonomous Driving ↗](https://openreview.net/pdf?id=Bke03G85DN)**Yesmina Jaafra, Jean Luc Laurent, Aline Deruyver et al.*9 citations*
21. **[Random mesh projectors for inverse problems ↗](https://openreview.net/pdf?id=HyGcghRct7)**Konik Kothari, Sidharth Gupta, Maarten V. de Hoop et al.*8 citations*
22. **[Learning to Defense by Learning to Attack. ↗](https://openreview.net/pdf?id=H1gHELLK_V)**Zhehui Chen, Haoming Jiang, Yuyang Shi et al.*6 citations*
23. **[Interactive Visual Exploration of Latent Space (IVELS) for Peptide Auto-Encoder Model Selection ↗](https://openreview.net/pdf?id=Hkl8EILFdN)**Tom Sercu, Sebastian Gehrmann, Hendrik Strobelt et al.*5 citations*
24. **[Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo ↗](https://openreview.net/pdf?id=HJg24U8tuE)**Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu et al.*5 citations*
25. **[Understanding the Relation Between Maximum-Entropy Inverse Reinforcement Learning and Behaviour Cloning. ↗](https://openreview.net/pdf?id=rkeXrIIt_4)**Seyed Kamyar Seyed Ghasemipour, Shane Gu, Richard S. Zemel*5 citations*
26. **[simple_rl: Reproducible Reinforcement Learning in Python. ↗](https://dblp.uni-trier.de/db/conf/iclr/rml2019.html#Abel19)**David Lynn Abel*5 citations*
27. **[On the relationship between Normalising Flows and Variational- and Denoising Autoencoders. ↗](https://openreview.net/pdf?id=HklKEUUY_E)**Alexey A. Gritsenko, Jasper Snoek, Tim Salimans*4 citations*
28. **[Reproducing Meta-learning with differentiable closed-form solvers. ↗](https://openreview.net/pdf?id=BJx0N2I6IN)**Arnout Devos, Sylvain Chatel, Matthias Grossglauser*4 citations*
29. **[Deep Generative Models for Generating Labeled Graphs. ↗](https://openreview.net/pdf?id=ryg3XILFdN)**Shuangfei Fan, Bert Huang*3 citations*
30. **[Reproducibility and Stability Analysis in Metric-Based Few-Shot Learning. ↗](https://openreview.net/pdf?id=B1g-SnUaUN)**Thomas Boquet, Laure Delisle, Denis Kochetkov et al.*3 citations*
31. **[AlignFlow: Learning from multiple domains via normalizing flows. ↗](https://dblp.uni-trier.de/db/conf/iclr/dgs2019.html#GroverCSCE19)**Aditya Grover, Chris Chute, Rui Shu et al.*2 citations*
32. **[Improved Adversarial Image Captioning ↗](https://openreview.net/pdf?id=rkepX8LFuE)**Pierre Dognin, Igor Melnyk, Youssef Mroueh et al.*2 citations*
33. **[Multi-agent query reformulation: Challenges and the role of diversity ↗](https://ai.google/research/pubs/pub48553.pdf)**Rodrigo Frassetto Nogueira, Jannis Bulian, Massimiliano Ciaramita*2 citations*
34. **[WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding ↗](https://openreview.net/pdf?id=HylINLUKuV)**Shu‐Yu Lin, Ronald Clark, Robert Birke et al.*2 citations*
35. **[A Seed-Augment-Train Framework for Universal Digit Classification ↗](https://openreview.net/pdf?id=Bkgzr8LKOV)**Vinay Uday Prabhu, Sanghyun Han, Dian Ang Yap et al.*1 citation*
36. **[Brief Report: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks ↗](https://www.microsoft.com/en-us/research/publication/brief-report-ordered-neurons-integrating-tree-structures-into-recurrent-neural-networks/)**Yikeng Shen, Shawn Tan, Alessandro Sordoni et al.*1 citation*
37. **[Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition ↗](https://openreview.net/pdf?id=HyeJB8LKOV)**Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi et al.*1 citation*
38. **[Learning proposals for sequential importance samplers using reinforced variational inference. ↗](https://openreview.net/pdf?id=HJgxTf89vV)**Zafarali Ahmed, Arjun Karuvally, Doina Precup et al.*1 citation*
39. **[Revisiting Auxiliary Latent Variables in Generative Models. ↗](https://openreview.net/pdf?id=SyxPVLUYdE)**Dieterich Lawson, George Tucker, Bo Dai et al.*1 citation*
40. **[Unsupervised Demixing of Structured Signals from Their Superposition Using GANs. ↗](https://openreview.net/pdf?id=BygbVL8KO4)**Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan*1 citation*
41. **[Variational autoencoders trained with q-deformed lower bounds ↗](https://openreview.net/pdf?id=rygJV8UKuV)**Septimia Sârbu, Luigi Malagò*1 citation*
42. **[Visualizing and Understanding GANs ↗](https://openreview.net/pdf?id=rJgON8ItOV)**David Anthony Bau, Jun-Yan Zhu, Hendrik Strobelt et al.*1 citation*
43. **[ATLPA:ADVERSARIAL TOLERANT LOGIT PAIRING WITH ATTENTION FOR CONVOLUTIONAL NEURAL NETWORK ↗](https://openreview.net/pdf?id=HJx0Yn4FPB)**Dou Goodman
44. **[Artificial Design: Modeling Artificial Super Intelligence with Extended General Relativity and Universal Darwinism via Geometrization for Universal Design Automation ↗](https://openreview.net/pdf?id=SyxQ_TEFwS)**Yang Zhang
45. **[DUAL SPACE LEARNING WITH VARIATIONAL AUTOENCODERS ↗](https://openreview.net/pdf?id=S1lnmLLKu4)**Hirono Okamoto, Masahiro Suzuki, Itto Higuchi et al.
46. **[Ensemble methods and LSTM outperformed other eight machine learning classifiers in an EEG-based BCI experiment ↗](https://openreview.net/pdf?id=BkxmOn4FwH)**Xiaodong Qu, Zepeng Hu, Zhaonan Li et al.
47. **[Finite Automata Can be Linearly Decoded from Language-Recognizing RNNs ↗](https://par.nsf.gov/biblio/10097994-finite-automata-can-linearly-decoded-from-language-recognizing-rnns)**Joshua Michalenko, Ameesh Shah
48. **[Generative Integration Networks ↗](https://openreview.net/pdf?id=rkgcsyBKDH)**Shohei Ohsawa
49. **[Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization. ↗](https://openreview.net/pdf?id=ByeMHULt_N)**Sam Wiseman
50. **[Neural Program Planner for Structured Predictions. ↗](https://dblp.uni-trier.de/db/conf/iclr/drlsp2019.html#BilokiLL19)**Jacob Biloki, Liang Chen, Ni Lao
51. **[Resolving Lexical Ambiguity in English–Japanese Neural Machine Translation ↗](https://openreview.net/pdf?id=HJeIrlSFDH)**Quang Le Minh, Incheon Paik
52. **[Smooth Regularized Reinforcement Learning ↗](https://openreview.net/pdf?id=Skg9FhVYPS)**Haoming Jiang
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