Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
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NIPS: Oral Session 3 – Arunava Majumdar
Role of Coupled Networks in 21st Century Energy Infrastructure Our modern economy overwhelmingly depends on the electricity infrastructure or the grid. The architecture of the grid owes its origins to Tesla, Edison and their industrial…
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NIPS: Oral Session 4 – Yichuan Tang
Learning Generative Models with Visual Attention Attention has long been proposed by psychologists to be important for efficiently dealing with the massive amounts of sensory stimulus in the neocortex. Inspired by the attention models in…
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NIPS: Oral Session 2 – Xiangyu Wang
Median Selection Subset Aggregation for Parallel Inference For massive data sets, efficient computation commonly relies on distributed algorithms that store and process subsets of the data on different machines, minimizing communication costs. Our focus is…
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NIPS: Spotlight Session 2 – Large Scale Learning Spotlights
G. Bresler, G. Chen, D. Shah A Latent Source Model for Online Collaborative Filtering S. Lim, Y. Chen, H. Xu Clustering from Labels and Time-Varying Graphs W. Liu, C. Mu, S. Kumar, S. Chang Discrete…
