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Proceedings of the AAAI Conference on Artificial Intelligence
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Found 25136 items.
  • A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains

    Harsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan
    4460-4468
    2020-04-03
  • Learning Student Networks with Few Data

    Shumin Kong, Tianyu Guo, Shan You, Chang Xu
    4469-4476
    2020-04-03
  • Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes

    Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo
    4477-4484
    2020-04-03
  • Stable Prediction with Model Misspecification and Agnostic Distribution Shift

    Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
    4485-4492
    2020-04-03
  • Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation

    Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt
    4493-4500
    2020-04-03
  • Google Research Football: A Novel Reinforcement Learning Environment

    Karol Kurach, Anton Raichuk, Piotr Stańczyk, Michał Zając, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
    4501-4510
    2020-04-03
  • Correcting Predictions for Approximate Bayesian Inference

    Tomasz Kuśmierczyk, Joseph Sakaya, Arto Klami
    4511-4518
    2020-04-03
  • Improved Subsampled Randomized Hadamard Transform for Linear SVM

    Zijian Lei, Liang Lan
    4519-4526
    2020-04-03
  • A Simple and Efficient Tensor Calculus

    Sören Laue, Matthias Mitterreiter, Joachim Giesen
    4527-4534
    2020-04-03
  • Proximity Preserving Binary Code Using Signed Graph-Cut

    Inbal Lavi, Shai Avidan, Yoram Singer, Yacov Hel-Or
    4535-4544
    2020-04-03
  • Residual Neural Processes

    Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim
    4545-4552
    2020-04-03
  • Residual Continual Learning

    Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim
    4553-4560
    2020-04-03
  • Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients

    Jongmin Lee, Wonseok Jeon, Geon-Hyeong Kim, Kee-Eung Kim
    4561-4568
    2020-04-03
  • URNet: User-Resizable Residual Networks with Conditional Gating Module

    Sangho Lee, Simyung Chang, Nojun Kwak
    4569-4576
    2020-04-03
  • Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents

    Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar
    4577-4584
    2020-04-03
  • Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation

    Alexander Levine, Soheil Feizi
    4585-4593
    2020-04-03
  • Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval

    Dung D. Le, Hady W. Lauw
    4594-4601
    2020-04-03
  • Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling

    Chao Li, Mohammad Emtiyaz Khan, Zhun Sun, Gang Niu, Bo Han, Shengli Xie, Qibin Zhao
    4602-4609
    2020-04-03
  • Infrared-Visible Cross-Modal Person Re-Identification with an X Modality

    Diangang Li, Xing Wei, Xiaopeng Hong, Yihong Gong
    4610-4617
    2020-04-03
  • Automated Spectral Kernel Learning

    Jian Li, Yong Liu, Weiping Wang
    4618-4625
    2020-04-03
  • Graph Attention Based Proposal 3D ConvNets for Action Detection

    Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song
    4626-4633
    2020-04-03
  • Symmetric Metric Learning with Adaptive Margin for Recommendation

    Mingming Li, Shuai Zhang, Fuqing Zhu, Wanhui Qian, Liangjun Zang, Jizhong Han, Songlin Hu
    4634-4641
    2020-04-03
  • Practical Federated Gradient Boosting Decision Trees

    Qinbin Li, Zeyi Wen, Bingsheng He
    4642-4649
    2020-04-03
  • New Efficient Multi-Spike Learning for Fast Processing and Robust Learning

    Shenglan Li, Qiang Yu
    4650-4657
    2020-04-03
  • Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold

    Shengxi Li, Zeyang Yu, Min Xiang, Danilo Mandic
    4658-4666
    2020-04-03
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