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Proceedings of the AAAI Conference on Artificial Intelligence
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Found 25136 items.
  • Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees

    Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik
    3227-3234
    2020-04-03
  • Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding

    Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein
    3235-3242
    2020-04-03
  • Exploratory Combinatorial Optimization with Reinforcement Learning

    Thomas Barrett, William Clements, Jakob Foerster, Alex Lvovsky
    3243-3250
    2020-04-03
  • Midas: Microcluster-Based Detector of Anomalies in Edge Streams

    Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
    3242-3249
    2020-04-03
  • Event-Driven Continuous Time Bayesian Networks

    Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush Varshney, Dharmashankar Subramanian
    3259-3266
    2020-04-03
  • An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints

    Chao Bian, Chao Feng, Chao Qian, Yang Yu
    3267-3274
    2020-04-03
  • A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control

    Adel Bibi, El Houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtarik
    3275-3282
    2020-04-03
  • Proximal Distilled Evolutionary Reinforcement Learning

    Cristian Bodnar, Ben Day, Pietro Lió
    3283-3290
    2020-04-03
  • Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis

    Elena Botoeva, Panagiotis Kouvaros, Jan Kronqvist, Alessio Lomuscio, Ruth Misener
    3291-3299
    2020-04-03
  • Information-Theoretic Understanding of Population Risk Improvement with Model Compression

    Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal Veeravalli
    3300-3307
    2020-04-03
  • A Multi-Scale Approach for Graph Link Prediction

    Lei Cai, Shuiwang Ji
    3308-3315
    2020-04-03
  • Deterministic Value-Policy Gradients

    Qingpeng Cai, Ling Pan, Pingzhong Tang
    3316-3323
    2020-04-03
  • Predicting Propositional Satisfiability via End-to-End Learning

    Chris Cameron, Rex Chen, Jason Hartford, Kevin Leyton-Brown
    3324-3331
    2020-04-03
  • Active Ordinal Querying for Tuplewise Similarity Learning

    Gregory Canal, Stefano Fenu, Christopher Rozell
    3332-3340
    2020-04-03
  • Fatigue-Aware Bandits for Dependent Click Models

    Junyu Cao, Wei Sun, Zuo-Jun (Max) Shen, Markus Ettl
    3341-3348
    2020-04-03
  • Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks

    Yuan Cao, Quanquan Gu
    3349-3356
    2020-04-03
  • Exponential Family Graph Embeddings

    Abdulkadir Celikkanat, Fragkiskos D. Malliaros
    3357-3364
    2020-04-03
  • Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles

    Shayok Chakraborty
    3365-3372
    2020-04-03
  • Lifelong Learning with a Changing Action Set

    Yash Chandak, Georgios Theocharous, Chris Nota, Philip Thomas
    3373-3380
    2020-04-03
  • Reinforcement Learning When All Actions Are Not Always Available

    Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip Thomas
    3381-3388
    2020-04-03
  • A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models

    Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang
    3389-3396
    2020-04-03
  • Robust Data Programming with Precision-guided Labeling Functions

    Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi
    3397-3404
    2020-04-03
  • A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories

    Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li, Patrick Le Callet
    3405-3413
    2020-04-03
  • Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control

    Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li
    3414-3421
    2020-04-03
  • HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation

    Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-sheng Hua
    3422-3429
    2020-04-03
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