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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
22951 - 22975 of 25136 items
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