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title: "Proceedings of the AAAI Conference on Artificial"
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# Proceedings of the AAAI Conference on Artificial Intelligence 2019 — accepted papers

Proceedings of the AAAI Conference on Artificial Intelligence 2019 is the 2019 edition of the Proceedings of the AAAI Conference on Artificial Intelligence (publisher: Association for the Advancement of Artificial Intelligence). OpenAlex lists 1,341 papers of it; our library holds 10 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**1,341** papers in the proceedings](#all) · [**10** works in our library](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2019/#works) · [**5,387** citations of these works](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2019/#works)

## Most cited papers

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

1. **[Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting](https://doi.org/10.1609/aaai.v33i01.3301922)**Shengnan Guo, Youfang Lin, Ning Feng et al.*2,953 citations*
2. **[Graph Convolutional Networks for Text Classification](https://doi.org/10.1609/aaai.v33i01.33017370)**Liang Yao, Chengsheng Mao, Yuan Luo*1,983 citations*
3. **[Hypergraph Neural Networks](https://doi.org/10.1609/aaai.v33i01.33013558)**Yifan Feng, Haoxuan You, Zizhao Zhang et al.*1,729 citations*
4. **[Session-Based Recommendation with Graph Neural Networks](https://doi.org/10.1609/aaai.v33i01.3301346)**Shu Wu, Yuyuan Tang, Yanqiao Zhu et al.*1,532 citations*
5. **[Deep Interest Evolution Network for Click-Through Rate Prediction](https://doi.org/10.1609/aaai.v33i01.33015941)**Guorui Zhou, Na Mou, Ying Fan et al.*1,066 citations*
6. **[Envisioning AI for K-12: What Should Every Child Know about AI?](https://doi.org/10.1609/aaai.v33i01.33019795)**David S. Touretzky, Christina Gardner‐McCune, Fred G. Martin et al.*890 citations*
7. **[M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network](https://doi.org/10.1609/aaai.v33i01.33019259)**Qijie Zhao, Tao Sheng, Yongtao Wang et al.*860 citations*
8. **[A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data](https://doi.org/10.1609/aaai.v33i01.33011409)**Chuxu Zhang, Dongjin Song, Yuncong Chen et al.*855 citations*
9. **[Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting](https://doi.org/10.1609/aaai.v33i01.33013656)**Geng Fu Xu, Yaguang Li, Leye Wang et al.*841 citations*
10. **[Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction](https://doi.org/10.1609/aaai.v33i01.33015668)**Huaxiu Yao, Xianfeng Tang, Hua Wei et al.*822 citations*

## All accepted papers (1,341)

The most cited first; 10 with our summary link to their page here, the others to the original.

1. **[Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting](https://doi.org/10.1609/aaai.v33i01.3301922)**Shengnan Guo, Youfang Lin, Ning Feng et al.*2,953 citations*
2. **[Graph Convolutional Networks for Text Classification](https://doi.org/10.1609/aaai.v33i01.33017370)**Liang Yao, Chengsheng Mao, Yuan Luo*1,983 citations*
3. **[Hypergraph Neural Networks](https://doi.org/10.1609/aaai.v33i01.33013558)**Yifan Feng, Haoxuan You, Zizhao Zhang et al.*1,729 citations*
4. **[Session-Based Recommendation with Graph Neural Networks](https://doi.org/10.1609/aaai.v33i01.3301346)**Shu Wu, Yuyuan Tang, Yanqiao Zhu et al.*1,532 citations*
5. **[Deep Interest Evolution Network for Click-Through Rate Prediction](https://doi.org/10.1609/aaai.v33i01.33015941)**Guorui Zhou, Na Mou, Ying Fan et al.*1,066 citations*
6. **[Envisioning AI for K-12: What Should Every Child Know about AI?](https://doi.org/10.1609/aaai.v33i01.33019795)**David S. Touretzky, Christina Gardner‐McCune, Fred G. Martin et al.*890 citations*
7. **[M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network](https://doi.org/10.1609/aaai.v33i01.33019259)**Qijie Zhao, Tao Sheng, Yongtao Wang et al.*860 citations*
8. **[A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data](https://doi.org/10.1609/aaai.v33i01.33011409)**Chuxu Zhang, Dongjin Song, Yuncong Chen et al.*855 citations*
9. **[Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting](https://doi.org/10.1609/aaai.v33i01.33013656)**Geng Fu Xu, Yaguang Li, Leye Wang et al.*841 citations*
10. **[Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction](https://doi.org/10.1609/aaai.v33i01.33015668)**Huaxiu Yao, Xianfeng Tang, Hua Wei et al.*822 citations*
11. **[Explainable Reasoning over Knowledge Graphs for Recommendation](https://doi.org/10.1609/aaai.v33i01.33015329)**Xiang Wang, Dingxian Wang, Canran Xu et al.*757 citations*
12. **[Interpretation of Neural Networks Is Fragile](https://doi.org/10.1609/aaai.v33i01.33013681)**Amirata Ghorbani, Abubakar Abid, James Zou*732 citations*
13. **[Neural Speech Synthesis with Transformer Network](https://doi.org/10.1609/aaai.v33i01.33016706)**Naihan Li, Shujie Liu, Yanqing Liu et al.*714 citations*
14. **[End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion](https://doi.org/10.1609/aaai.v33i01.33013060)**Chao Shang, Yun Tang, Jing Huang et al.*683 citations*
15. **[Direct Training for Spiking Neural Networks: Faster, Larger, Better](https://doi.org/10.1609/aaai.v33i01.33011311)**Yujie Wu, Lei Deng, Guoqi Li et al.*670 citations*
16. **[GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition](https://doi.org/10.1609/aaai.v33i01.33018126)**Hanqing Chao, Yiwei He, Junping Zhang et al.*659 citations*
17. **[End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks](https://doi.org/10.1609/aaai.v33i01.33013387)**Richard Cheng, Gábor Orosz, Richard M. Murray et al.*575 citations*
18. **[A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification](https://doi.org/10.1609/aaai.v33i01.33018738)**Yutian Lin, Xuanyi Dong, Liang Zheng et al.*564 citations*
19. **[Gradient Harmonized Single-Stage Detector](https://doi.org/10.1609/aaai.v33i01.33018577)**Buyu Li, Yu Liu, Xiaogang Wang*530 citations*
20. **[Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons](https://doi.org/10.1609/aaai.v33i01.33013779)**Byeongho Heo, Minsik Lee, Sangdoo Yun et al.*522 citations*
21. **[Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning](https://doi.org/10.1609/aaai.v33i01.33015693)**Hao Yu, Sen Yang, Shenghuo Zhu B*497 citations*
22. **[Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities](https://doi.org/10.1609/aaai.v33i01.33016892)**Hai Pham, Paul Pu Liang, Thomas Manzini et al.*481 citations*
23. **[Horizontal Pyramid Matching for Person Re-Identification](https://doi.org/10.1609/aaai.v33i01.33018295)**Yang Lie Fu, Yunchao Wei, Yuqian Zhou et al.*473 citations*
24. **[Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors](https://doi.org/10.1609/aaai.v33i01.33017216)**Yansen Wang, Ying Shen, Zhun Liu et al.*466 citations*
25. **[TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents](https://doi.org/10.1609/aaai.v33i01.33016120)**Yuexin Ma, Xinge Zhu, Sibo Zhang et al.*446 citations*

[See all 1,341 papers in Proceedings of the AAAI Conference on Artificial Intelligence 2019 — accepted papers →](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2019/papers/)

## Papers with our summary in our library (10)

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

1. **[Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment](https://md.research.elamur.ai/free/en/papers/jin-2019-bert-really-robust-strong-baseline/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Di Jin, Zhijing Jin, Joey Tianyi Zhou, et al.*2019 · 1,326 citations*
2. **[PIQA: Reasoning about Physical Commonsense in Natural Language](https://md.research.elamur.ai/free/en/papers/bisk-2019-piqa-reasoning-about-physical-commonsense/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Yonatan Bisk, Rowan Zellers, Ronan Le Bras, et al.*2019 · 1,220 citations*
3. **[K-BERT: Enabling Language Representation with Knowledge Graph](https://md.research.elamur.ai/free/en/papers/liu-2019-k-bert-enabling-language-representation/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Weijie Liu, Peng Zhou, Zhe Zhao, et al.*2019 · 1,014 citations*
4. **[ERNIE 2.0: A Continual Pre-training Framework for Language Understanding](https://md.research.elamur.ai/free/en/papers/sun-2019-ernie-2-0-continual/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Yu Sun, Shuohuan Wang, Yukun Li, et al.*2019 · 984 citations*
5. **[ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering](https://md.research.elamur.ai/free/en/papers/yu-2019-activitynet-qa-dataset-understanding-complex/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Zhou Yu, Dejing Xu, Jun Yu, et al.*2019 · 390 citations*
6. **[Neural Machine Translation with Byte-Level Subwords](https://md.research.elamur.ai/free/en/papers/wang-2019-neural-machine-translation-byte-level/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Changhan Wang, Kyunghyun Cho, Jiatao Gu*2019 · 228 citations*
7. **[Probing Natural Language Inference Models through Semantic Fragments](https://md.research.elamur.ai/free/en/papers/richardson-2019-probing-natural-language-inference-models/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Kyle Richardson, Hai Hu, Lawrence S. Moss, et al.*2019 · 102 citations*
8. **[A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context](https://md.research.elamur.ai/free/en/papers/udagawa-2019-natural-language-corpus-common-grounding/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Takuma Udagawa, Akiko Aizawa*2019 · 67 citations*
9. **[Story Realization: Expanding Plot Events into Sentences](https://md.research.elamur.ai/free/en/papers/ammanabrolu-2019-story-realization-expanding-plot-events/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, et al.*2019 · 42 citations*
10. **[An Annotated Corpus of Reference Resolution for Interpreting Common Grounding](https://md.research.elamur.ai/free/en/papers/udagawa-2019-annotated-corpus-reference-resolution-interpreting/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Takuma Udagawa, Akiko Aizawa*2019 · 14 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Reasoning (2)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Machine translation (1)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Knowledge graphs & ontologies (1)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Interpretability (1)](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Tokenization & segmentation (1)](https://md.research.elamur.ai/free/en/topics/tokenization/)

## Fields

[Computer Science (10)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (9)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/)

## Top authors

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

[🧑‍🔬**Akiko Aizawa**2 works here · 81 citations](https://md.research.elamur.ai/free/en/authors/akiko-aizawa/) · [🧑‍🔬**Takuma Udagawa**2 works here · 81 citations](https://md.research.elamur.ai/free/en/authors/takuma-udagawa/) · [🧑‍🔬**Di Jin**1 work here · 1,326 citations](https://md.research.elamur.ai/free/en/authors/di-jin/) · [🧑‍🔬**Joey Tianyi Zhou**1 work here · 1,326 citations](https://md.research.elamur.ai/free/en/authors/joey-tianyi-zhou/) · [🧑‍🔬**Peter Szolovits**1 work here · 1,326 citations](https://md.research.elamur.ai/free/en/authors/peter-szolovits/) · [🧑‍🔬**Zhijing Jin**1 work here · 1,326 citations](https://md.research.elamur.ai/free/en/authors/zhijing-jin/) · [🧑‍🔬**Jianfeng Gao**1 work here · 1,220 citations](https://md.research.elamur.ai/free/en/authors/jianfeng-gao/) · [🧑‍🔬**Ronan Le Bras**1 work here · 1,220 citations](https://md.research.elamur.ai/free/en/authors/ronan-le-bras/) · [🧑‍🔬**Rowan Zellers**1 work here · 1,220 citations](https://md.research.elamur.ai/free/en/authors/rowan-zellers/) · [🧑‍🔬**Yejin Choi**1 work here · 1,220 citations](https://md.research.elamur.ai/free/en/authors/yejin-choi/) · [🧑‍🔬**Yonatan Bisk**1 work here · 1,220 citations](https://md.research.elamur.ai/free/en/authors/yonatan-bisk/) · [🧑‍🔬**Haotang Deng**1 work here · 1,014 citations](https://md.research.elamur.ai/free/en/authors/haotang-deng/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🔬**National Institute of Informatics** Tokyo · Japan 2 works here](https://md.research.elamur.ai/free/en/labs/national-institute-of-informatics/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**The University of Tokyo** Tokyo · Japan 2 works here](https://md.research.elamur.ai/free/en/universities/the-university-of-tokyo/) · [🏛️**Agency for Science, Technology and Research** Singapore · Singapore 1 work here](https://md.research.elamur.ai/free/en/government/agency-for-science-technology-and-research/) · [🏢**Microsoft** Redmond · United States 1 work here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**The University of Sydney** Sydney · Australia 1 work here](https://md.research.elamur.ai/free/en/universities/the-university-of-sydney/) · [🎓**Georgia Institute of Technology** Atlanta · United States 1 work here](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**University of Washington** Seattle · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Peking University** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏢**Tencent** Shenzhen · China 1 work here](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**Beijing Normal University** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/beijing-normal-university/) · [🏢**Meta** Menlo Park · United States 1 work here](https://md.research.elamur.ai/free/en/companies/meta/)

works and citations from OpenAlex and our library.

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