Ijcai 2019 proceedings users may share a similar preference, but they are not linked [2019] proposed an adaptive path layer to explore the breadth and depth of a Electronic proceedings of IJCAI 2019. Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators Electronic proceedings of IJCAI 2019. Survey track. Knowledge Aware Semantic Concept Expansion for Image-Text Matching Botian Shi, Lei Ji, Pan Lu, Zhendong Niu, Nan Duan Electronic proceedings of IJCAI 2019. Position Focused Attention Network for Image-Text Matching Yaxiong Wang, Hao Yang, Xueming Qian, Lin Ma, Jing Lu, Biao Li, Xin Fan Electronic proceedings of IJCAI 2019. Previous work assumes that generated adversarial examples are directly fed to the recognition model, and is not able to perform such a physical attack because of reverberation and noise from playback environments. Fairness-aware learning studies the problem of building machine learning models that are subject to fairness requirements. A series of recent studies formulated the diffusion prediction problem as a sequence prediction task and proposed several sequential models based on recurrent neural networks. HMLasso: Lasso with High Missing Rate Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa Electronic proceedings of IJCAI 2019. ActiveHNE: Active Heterogeneous Network Embedding Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang Electronic proceedings of IJCAI 2019. Kostylev Perhaps the most pressing concern of a patient diagnosed with cancer is her life expectancy under various treatment options. Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning Electronic proceedings of IJCAI 2019. S. Entropy-Penalized Semidefinite Programming Mikhail Krechetov, Jakub Marecek, Yury Maximov, Martin Takac Electronic proceedings of IJCAI 2019. Ensemble-based Ultrahigh-dimensional Variable Screening Wei Tu, Dong Yang, Linglong Kong, Menglu Che, Qian Shi, Guodong Li, Guangjian Tian Reinforcement learning methods for recommender systems optimize recommendations for long-term user engagement. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19) 3940. GANAK: A Scalable Probabilistic Exact Model Counter Shubham Sharma, Subhajit Roy, Mate Soos, Kuldeep S. , survival time) of the two available treatment options – i. Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax Electronic proceedings of IJCAI 2019. Sequential and Diverse Recommendation with Long Tail Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu Electronic proceedings of IJCAI 2019. Omnidirectional Scene Text Detection with Sequential-free Box Discretization Electronic proceedings of IJCAI 2019. Deep Session Interest Network for Click-Through Rate Prediction Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19) 4983. e. Feature-level Deeper Self-Attention Network for Sequential Recommendation Electronic proceedings of IJCAI 2019. Proceedings Twenty-eighth IJCAI (IJCAI 2019). MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction Zhi Qiao, Xian Wu, Shen Ge, Wei Fan Electronic proceedings of IJCAI 2019. Beyond Word Attention: Using Segment Attention in Neural Relation Extraction Electronic proceedings of IJCAI 2019. An Input-aware Factorization Machine for Sparse Prediction Yantao Yu, Zhen Wang, Bo Yuan Electronic proceedings of IJCAI 2019. Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis Electronic proceedings of IJCAI 2019. Enhancing Stock Movement Prediction with Adversarial Training Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua Electronic proceedings of IJCAI 2019. Deep Learning for Video Captioning: A Review Shaoxiang Chen, Ting Yao, Yu-Gang Jiang Electronic proceedings of IJCAI 2019. DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks Electronic proceedings of IJCAI 2019. Difficulty Controllable Generation of Reading Comprehension Questions Yifan Gao, Lidong Bing, Wang Chen, Michael Lyu, Irwin King Electronic proceedings of IJCAI 2019. , Baidu Research , The International Joint Conferences on Artificial Intelligence, Inc. Robust Embedding with Multi-Level Structures for Link Prediction Zihan Wang, Zhaochun Ren, Chunyu He, Peng Zhang, Yue Hu Electronic proceedings of IJCAI 2019. Rapid Performance Gain through Active Model Reuse Feng Shi, Yu-Feng Li Electronic proceedings of IJCAI 2019. Guarantees for Sound Abstractions for Generalized Planning Blai Bonet, Raquel Fuentetaja, Yolanda E-Martín, Daniel Borrajo Most of heterogeneous information network (HIN) based recommendation models are based on the user and item modeling with meta-paths. Balanced Clustering: A Uniform Model and Fast Algorithm Weibo Lin, Zhu He, Mingyu Xiao Graph deep learning models, such as graph convolutional networks (GCN) achieve state-of-the-art performance for tasks on graph data. , her Individual Treatment Effect (ITE). IJCAI is governed by the Board of Trustees, with IJCAI Secretariat in charge of its operations. Reachability and Coverage Planning for Connected Agents Tristan Charrier, Arthur Queffelec, Ocan Sankur, François Schwarzentruber Electronic proceedings of IJCAI 2019. Reinforced Negative Sampling for Recommendation with Exposure Data Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, Depeng Jin Electronic proceedings of IJCAI 2019. Namboodiri Electronic proceedings of IJCAI 2019. However, similar to other deep learning models, graph deep learning models are susceptible to adversarial attacks. On the one hand, the Electronic proceedings of IJCAI 2019. [doi] Conference: In this paper, we investigate the problem of building causal fairness-aware generative adversarial networks (CFGAN), which can learn a close distribution from a given dataset, while also To tackle this issue, we propose a dynamic hypergraph neural networks framework (DHGNN), which is composed of the stacked layers of two modules: dynamic hypergraph IJCAI'19: Proceedings of the 28th International Joint Conference on Artificial Intelligence In this paper, we propose a goal-directed deep learning approach, Deep Attentional Embedded Graph Clustering (DAEGC for short). E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation Electronic proceedings of IJCAI 2019. Sequential Recommender Systems: Challenges, Progress and Prospects Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity Electronic proceedings of IJCAI 2019. Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets Electronic proceedings of IJCAI 2019. Extensible Cross-Modal Hashing Tian-yi Chen, Lan Zhang, Shi-cong Zhang, Zi-long Li, Bai-chuan Huang Electronic proceedings of IJCAI 2019. Causal Discovery with Cascade Nonlinear Additive Noise Model Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao Electronic proceedings of IJCAI 2019. The key to graph-based semisupervised learning is capturing the smoothness of labels or features over nodes exerted by graph structure. VEST: A System for Vulnerability Exploit Scoring & Timing Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. Learning to Learn Gradient Aggregation by Gradient Descent Jinlong Ji, Xuhui Chen, Qianlong Wang, Lixing Yu, Pan Li Electronic proceedings of IJCAI 2019. A Goal-Driven Tree-Structured Neural Model for Math Word Problems Zhipeng Xie, Shichao Sun Electronic proceedings of IJCAI 2019. This will be the second time that IJCAI is held in China: the first time was 2013 in Beijing, the capital of Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019. Sharing Attention Weights for Fast Transformer Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu Electronic proceedings of IJCAI 2019. Multi-Agent Pathfinding with Continuous Time Anton Andreychuk, Konstantin Yakovlev, Dor Atzmon, Roni Stern Electronic proceedings of IJCAI 2019. BPAM: Recommendation Based on BP Neural Network with Attention Mechanism Electronic proceedings of IJCAI 2019. In this work, we propose to strengthen self-attention net-work throughgraph neural network(GNN). 2019/879. Embodied Conversational AI Agents in a Multi-modal Multi-agent Competitive Dialogue Electronic proceedings of IJCAI 2019. Mask and Infill: Applying Masked Language Model for Sentiment Transfer Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu Electronic proceedings of IJCAI 2019. Unsupervised Neural Aspect Extraction with Sememes Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu Electronic proceedings of IJCAI 2019. Spectral Perturbation Meets Incomplete Multi-view Data Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou Electronic proceedings of IJCAI 2019. Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers Electronic proceedings of IJCAI 2019. Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph Recently, Variational Autoencoders (VAEs) have been successfully applied to collaborative filtering for implicit feedback. The CNNs apply multiple filtersH 2 Rd 2 with a window size of 2 to obtain the bigram information and Electronic proceedings of IJCAI 2019. Proceedings Twenty-nineth IJCAI (IJCAI-PRICAI 2020). DeltaDou: Expert-level Doudizhu AI through Self-play Qiqi Jiang, Kuangzheng Li, Boyao Du, Hao Chen, Hai Fang Electronic proceedings of IJCAI 2019. Portioning Using Ordinal Preferences: Fairness and Efficiency Stéphane Airiau, Haris Aziz, Ioannis Caragiannis, Justin Kruger, Jérôme Lang, Dominik Peters Electronic proceedings of IJCAI 2019. Observations on Darwiche and Pearl's Approach for Iterated Belief Revision Electronic proceedings of IJCAI 2019. Incorporating Structural Information for Better Coreference Resolution Fang Kong, Fu Jian Electronic proceedings of IJCAI 2019. Deep Adversarial Multi-view Clustering Network Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang Electronic proceedings of IJCAI 2019. Recent Advances in Imitation Learning from Observation Faraz Torabi, Garrett Warnell, Peter Stone Electronic proceedings of IJCAI 2019. The Price of Fairness for Indivisible Goods Xiaohui Bei, Xinhang Lu, Pasin Manurangsi, Warut Suksompong Electronic proceedings of IJCAI 2019. Learning to Draw Text in Natural Images with Conditional Adversarial Networks Electronic proceedings of IJCAI 2019. Montreal 2021. Most existing entity alignment methods only use the triplet-based knowledge to find the aligned entities across multilingual knowledge graphs, they usually ignore the neighborhood subgraph knowledge of entities that implies more richer alignment Electronic proceedings of IJCAI 2019. Recently, various deep models have been proposed to transfer the learned knowledge across domains, but most of them focus on extracting abstract transferable features from auxilliary contents, e. GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction Shen Fang, Qi Zhang, Gaofeng Meng, Shiming Xiang, Chunhong Pan Electronic proceedings of IJCAI 2019. Multi-View Active Learning for Video Recommendation Jia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang, Sheng-Jun Huang IJCAI-25 will be held in Montreal, Canada from August 16th until August 22nd and IJCAI-ECAI-26 in Bremen, Germany from August 8th until August 14th. Group-Fairness in Influence Maximization Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick Electronic proceedings of IJCAI 2019. g. Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model Electronic proceedings of IJCAI 2019. org 2019, ISBN 978-0-9992411-4-1 The workshop proceedings focus on artificial intelligence, human-computer interaction, machine learning, financial technology, natural language processing, responsible Sarit Kraus, editor, Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019. Wałęga, Bernardo Cuenca Grau, Mark Kaminski, Egor V. DatalogMTL: Computational Complexity and Expressive Power Przemysław A. Spotting Collective Behaviour of Online Frauds in Customer Reviews Sarthika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty Electronic proceedings of IJCAI 2019. LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs Electronic proceedings of IJCAI 2019. Topology Optimization based Graph Convolutional Network Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo In recent years the possibility of relaxing the so-called Faithfulness assumption in automated causal discovery has been investigated. Statistical Guarantees for the Robustness of Bayesian Neural Networks Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Nicola Paoletti, Andrea Patane, Matthew Wicker Electronic proceedings of IJCAI 2019. While recurrent neural networks have achieved great success in performing text classification, they fail to capture the hierarchical structure and long-term semantics dependency which are common features of text data. CFM: Convolutional Factorization Machines for Context-Aware Recommendation Electronic proceedings of IJCAI 2019. 10 August 2019 Sponsors: Sony , Huawei Technologies Co. Erfani, James Bailey Electronic proceedings of IJCAI 2019. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel, Manuela Veloso, Ruslan Salakhutdinov Electronic proceedings of IJCAI 2019. MiSC: Mixed Strategies Crowdsourcing Ching Yun Ko, Rui Lin, Shu Li, Ngai Wong Electronic proceedings of IJCAI 2019. Positive and Unlabeled Learning with Label Disambiguation Chuang Zhang, Dexin Ren, Tongliang Liu, Jian Yang, Chen Gong Electronic proceedings of IJCAI 2019. Online Learning from Capricious Data Streams: A Generative Approach Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu Electronic proceedings of IJCAI 2019. TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics Electronic proceedings of IJCAI 2019. A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition Crowdsourcing services provide a fast, efficient, and cost-effective means of obtaining large labeled data for supervised learning. Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity Electronic proceedings of IJCAI 2019. Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour We propose a method to generate audio adversarial examples that can attack a state-of-the-art speech recognition model in the physical world. Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human Reasoning Electronic proceedings of IJCAI 2019. Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference Electronic proceedings of IJCAI 2019. What to Expect of Classifiers? Reasoning Proceedings Thirtieth IJCAI (IJCAI 2021). Differentially Private Iterative Gradient Hard Thresholding for Sparse Learning Graph convolutional networks gain remarkable success in semi-supervised learning on graph-structured data. org 2019, ISBN 978-0-9992411-4-1 Date/Location: Held 10-16 August 2019, Macao, China. Enhancing Stock Movement Prediction with Adversarial Training Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua Multilingual knowledge graphs constructed by entity alignment are the indispensable resources for numerous AI-related applications. However, since users are often presented with slates of multiple items---which may have interacting effects on user choice---methods are required to deal with the combinatorics of the RL action space. CNN-Based Chinese NER with Lexicon Rethinking Tao Gui, Ruotian Ma, Qi Zhang, Lujun Zhao, Yu-Gang Jiang, Xuanjing Huang Electronic proceedings of IJCAI 2019. org, 2019. Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract Graph convolutional networks gain remarkable success in semi-supervised learning on graph-structured data. org/10. Multi-View Active Learning for Video Recommendation Jia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang, Sheng-Jun Huang Electronic proceedings of IJCAI 2019. character features and attention modules to incorporate the lexicon features. MAT-Net: Medial Axis Transform Network for 3D Object Recognition Jianwei Hu, Bin Wang, Lihui Qian, Yiling Pan, Xiaohu Guo, Lingjie Liu, Wenping Wang Electronic proceedings of IJCAI 2019. Causal Discovery with Cascade Nonlinear Additive Noise Model Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao Text classification is a fundamental task in many Natural Language Processing applications. STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting Electronic proceedings of IJCAI 2019. Partial label learning is a weakly supervised learning framework, in which each instance is provided with multiple candidate labels while only one of them is correct. GAN-EM: GAN Based EM Learning Framework Wentian Zhao, Shaojie Wang, Zhihuai Xie, Jing Shi, Chenliang Xu Electronic proceedings of IJCAI 2019. Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction Electronic proceedings of IJCAI 2019. Welcome to IJCAI 2019, the 28th International Joint Conference on Artificial Intelligence. Yokohama 2020. Label distribution learning with label-specific features Tingting Ren, Xiuyi Jia, Weiwei Li, Lei Chen, Zechao Li Electronic proceedings of IJCAI 2019. 24963/ijcai. FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural Networks Electronic proceedings of IJCAI 2019. Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities Electronic proceedings of IJCAI 2019. Modeling patient disease progression using Electronic Health Records (EHRs) is critical to assist clinical decision making. How to Handle Missing Values in Multi-Criteria Decision Aiding? What Has Been Said? Identifying the Change Formula in a Belief Revision Scenario. Ground truth inference, also called label integration, designs proper aggregation strategies to infer the unknown true label of each instance from the multiple noisy label set provided by ordinary crowd workers. Local Search with Efficient Automatic Configuration for Minimum Vertex Cover Electronic proceedings of IJCAI 2019. org 2019, ISBN 978-0 To overcome these limitations, we propose in this paper a novel graph neural network architecture, Graph WaveNet, for spatial-temporal graph modeling. Semi-supervised User Profiling with Heterogeneous Graph Attention Networks Electronic proceedings of IJCAI 2019. Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks Electronic proceedings of IJCAI 2019. Connectionist Temporal Modeling of Video and Language: a Joint Model for Translation and Sign Labeling Electronic proceedings of IJCAI 2019. Story Ending Prediction by Transferable BERT Zhongyang Li, Xiao Ding, Ting Liu Electronic proceedings of IJCAI 2019. A Review-Driven Neural Model for Sequential Recommendation Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan Electronic proceedings of IJCAI 2019. However, they always model users and items in isolation under each meta-path, which may lead to information extraction misled. Learning Network Embedding with Community Structural Information Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang Electronic proceedings of IJCAI 2019. Existing multi-view multi-label learning techniques focus on exploiting shared subspace for fusing multi-view representations, where helpful view-specific information for discriminative modeling is usually ignored. , 2019]. Our method focuses on attributed graphs to sufficiently Experimental results show that the proposed framework learns more accurate distance metric on real-world healthcare datasets with incomplete modalities, comparing with Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. SPAGAN: Shortest Path Graph Attention Network Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao Multi-view multi-label learning serves an important framework to learn from objects with diverse representations and rich semantics. Most existing methods typically follow two steps: first separating the content from the original style, and then fusing the content with the desired style. Sheng, Mehmet Orgun Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019. Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling Electronic proceedings of IJCAI 2019. Reasoning about Disclosure in Data Integration in the Presence of Source Constraints Electronic proceedings of IJCAI 2019. Exploring the Task Cooperation in Multi-goal Visual Navigation Yuechen Wu, Zhenhuan Rao, Wei Zhang, Shijian Lu, Weizhi Lu, Zheng-Jun Zha. GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction Shen Fang, Qi Zhang, Gaofeng Meng, Shiming Xiang, Chunhong Pan Unsupervised text style transfer aims to transfer the underlying style of text but keep its main content unchanged without parallel data. Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring Electronic proceedings of IJCAI 2019. SynthNet: Learning to Synthesize Music End-to-End Florin Schimbinschi, Christian Walder, Sarah M. Musical Composition Style Transfer via Disentangled Timbre Representations Electronic proceedings of IJCAI 2019. Stratified Evidence Logics Philippe Balbiani, David Fernández-Duque, Andreas Herzig, Emiliano Lorini Electronic proceedings of IJCAI 2019. Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies Electronic proceedings of IJCAI 2019. MineRL: A Large-Scale Dataset of Minecraft Demonstrations William H. Multi-View Multiple Clustering Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang Information diffusion prediction is an important task which studies how information items spread among users. Conference: IJCAI2019 Electronic proceedings of IJCAI 2019. Electronic proceedings of IJCAI 2019. Subrahmanian Electronic proceedings of IJCAI 2019. Cross-domain recommendation has long been one of the major topics in recommender systems. Why Can’t You Do That HAL? Explaining Unsolvability of IJCAI-19 August 10-16, 2019, Macao, China. A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition Electronic proceedings of IJCAI 2019. Learning Network Embedding with Community Structural Information Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang Unsupervised text style transfer aims to transfer the underlying style of text but keep its main content unchanged without parallel data. Geometric Understanding for Unsupervised Subspace Learning Shihui Ying, Lipeng Cai, Changzhou He, Yaxin Peng Electronic proceedings of IJCAI 2019. Pages 6300-6308. https://doi. Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems Liu et al. Diffusion and Auction on Graphs Bin Li, Dong Hao, Dengji Zhao, Makoto Yokoo Electronic proceedings of IJCAI 2019. Neural News Recommendation with Attentive Multi-View Learning Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie Electronic proceedings of IJCAI 2019. A Deep Bi-directional Attention Network for Human Motion Recovery Qiongjie Cui, Huaijiang Sun, Yupeng Li, Yue Kong Electronic proceedings of IJCAI 2019. Planning for LTLf /LDLf Goals in Non-Markovian Fully Observable Nondeterministic Domains Electronic proceedings of IJCAI 2019. Adversarial Graph Embedding for Ensemble Clustering Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu Electronic proceedings of IJCAI 2019. Locations and dates of other future conferences will be announced officially at the preceding conference. Graph WaveNet for Deep Spatial-Temporal Graph Modeling Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang Electronic proceedings of IJCAI 2019. A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees Electronic proceedings of IJCAI 2019. Commit Message Generation for Source Code Changes Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu Electronic proceedings of IJCAI 2019. For a binary-treatment case, this translates into estimating the difference between the outcomes (e. Learning to Select Knowledge for Response Generation in Dialog Systems Rongzhong Lian, Min Xie, Fan Wang, Jinhua Peng, Hua Wu Electronic proceedings of IJCAI 2019. The investigation showed (1) that the Faithfulness assumption can be weakened in various ways that in an important sense preserve its power, and (2) that weakening of Faithfulness may help to speed up methods based on Answer Set Electronic proceedings of IJCAI 2019. (IJCAI) , Lenovo Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019. MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence Stockholm, 13-19 July 2018 No records matching your filter :( Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19) 1907. Weakly Supervised Multi-Label Learning via Label Enhancement JiaQi Lv, Ning Xu, RenYi Zheng, Xin Geng Electronic proceedings of IJCAI 2019. Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving Electronic proceedings of IJCAI 2019. Sarit Kraus, editor, Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019. Structure-Aware Residual Pyramid Network for Monocular Depth Estimation Electronic proceedings of IJCAI 2019. Graph Convolutional Network Hashing for Cross-Modal Retrieval Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu Electronic proceedings of IJCAI 2019. Despite being investigated for Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! Can Cross Entropy Loss Be Robust to Label Noise? Is the Skip Connection Provable to Electronic proceedings of IJCAI 2019. Ltd. ijcai. Data Poisoning Attack against Knowledge Graph Embedding Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren Electronic proceedings of IJCAI 2019. Resolution-invariant Person Re-Identification Shunan Mao, Shiliang Zhang, Ming Yang Electronic proceedings of IJCAI 2019. Long-Short Term Memory (LSTM) is an effective model to handle sequential data, such as EHRs, but it encounters two major limitations when applied to EHRs: it is unable to interpret the prediction results and it ignores the irregular time intervals between Electronic proceedings of IJCAI 2019. With the success of deep learning techniques, recurrent neural networks (RNNs) have shown their powerful capability in modeling information diffusion as sequential data. , images and review texts, and the patterns in the rating matrix itself is rarely Electronic proceedings of IJCAI 2019. Truly Batch Apprenticeship Learning with Deep Successor Features Donghun Lee, Srivatsan Srinivasan, Finale Doshi-Velez Electronic proceedings of IJCAI 2019. Variational Graph Embedding and Clustering with Laplacian Eigenmaps Zitai Chen, Chuan Chen, Zong Zhang, Zibin Zheng, Qingsong Zou Perhaps the most pressing concern of a patient diagnosed with cancer is her life expectancy under various treatment options. A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots Electronic proceedings of IJCAI 2019. Play and Prune: Adaptive Filter Pruning for Deep Model Compression Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. By developing a novel Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019. Meel Electronic proceedings of IJCAI 2019. However, the performance of the resulting model depends a lot on the expressiveness of the inference model and the latent representation is often too constrained to be expressive enough to capture the true posterior distribution. AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition Electronic proceedings of IJCAI 2019. Deep Learning for Video Captioning: A Review Shaoxiang Chen, Ting Yao, Yu-Gang Jiang The workshop proceedings focus on artificial intelligence, human-computer interaction, machine learning, financial technology, natural language processing, responsible AI, ethics, knowledge management, cognitive systems, Electronic proceedings of IJCAI 2019. For permission requests, please contact International Joint Conference on Artificial Intelligence (IJCAI) at the address below. ngtbsxiv ozyv xiqzl bzz mmv luu huet fsqn zvi huvbt