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Proceedings of the AAAI Conference on Artificial Intelligence
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Found 25136 items.
  • On-Line Adaptative Curriculum Learning for GANs

    Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
    3470-3477
    2019-07-17
  • Multistream Classification with Relative Density Ratio Estimation

    Bo Dong, Yang Gao, Swarup Chandra, Latifur Khan
    3478-3485
    2019-07-17
  • Single-Label Multi-Class Image Classification by Deep Logistic Regression

    Qi Dong, Xiatian Zhu, Shaogang Gong
    3486-3493
    2019-07-17
  • How to Combine Tree-Search Methods in Reinforcement Learning

    Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
    3494-3501
    2019-07-17
  • Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection

    Qing En, Lijuan Duan, Zhaoxiang Zhang, Xiang Bai, Yundong Zhang
    3502-3509
    2019-07-17
  • Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation

    Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong
    3510-3517
    2019-07-17
  • Partial Multi-Label Learning via Credible Label Elicitation

    Jun-Peng Fang, Min-Ling Zhang
    3518-3525
    2019-07-17
  • Improved Knowledge Graph Embedding Using Background Taxonomic Information

    Bahare Fatemi, Siamak Ravanbakhsh, David Poole
    3526-3533
    2019-07-17
  • Unsupervised Feature Selection by Pareto Optimization

    Chao Feng, Chao Qian, Ke Tang
    3534-3541
    2019-07-17
  • Partial Label Learning with Self-Guided Retraining

    Lei Feng, Bo An
    3542-3549
    2019-07-17
  • Collaboration Based Multi-Label Learning

    Lei Feng, Bo An, Shuo He
    3550-3557
    2019-07-17
  • Hypergraph Neural Networks

    Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao
    3558-3565
    2019-07-17
  • Transductive Bounds for the Multi-Class Majority Vote Classifier

    Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
    3566-3573
    2019-07-17
  • The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes

    Stanislav Fort, Adam Scherlis
    3574-3581
    2019-07-17
  • Combined Reinforcement Learning via Abstract Representations

    Vincent Francois-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau
    3582-3589
    2019-07-17
  • Efficient Data Point Pruning for One-Class SVM

    Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai, Yasutoshi Ida, Naonori Ueda
    3590-3597
    2019-07-17
  • Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing

    Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki
    3598-3605
    2019-07-17
  • Bayesian Posterior Approximation via Greedy Particle Optimization

    Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama
    3606-3613
    2019-07-17
  • Towards Reliable Learning for High Stakes Applications

    Jinyang Gao, Junjie Yao, Yingxia Shao
    3614-3621
    2019-07-17
  • Explainable Recommendation through Attentive Multi-View Learning

    Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie
    3622-3629
    2019-07-17
  • Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds

    Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans
    3630-3637
    2019-07-17
  • Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting

    Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang
    3638-3646
    2019-07-17
  • Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift

    Carles Gelada, Marc G. Bellemare
    3647-3655
    2019-07-17
  • Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting

    Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu
    3656-3663
    2019-07-17
  • Counting and Sampling from Markov Equivalent DAGs Using Clique Trees

    AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang
    3664-3671
    2019-07-17
24726 - 24750 of 25136 items << < 985 986 987 988 989 990 991 992 993 994 > >> 

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