Europe
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- Asia > China > Shanghai > Shanghai (0.04)
- Europe > Russia (0.04)
- Europe > Belgium > Brussels-Capital Region > Brussels (0.04)
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Deep Supervised Summarization: Algorithm and Application to Learning Instructions
Chengguang Xu, Ehsan Elhamifar
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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- North America > United States > Massachusetts > Suffolk County > Boston (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Afghanistan > Parwan Province > Charikar (0.04)
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- Europe > United Kingdom > England > Oxfordshire > Oxford (0.04)
- Asia > Singapore > Central Region > Singapore (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
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- North America > United States > Minnesota > Hennepin County > Minneapolis (0.14)
- Europe > France (0.04)
- North America > United States > Virginia (0.04)
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- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.68)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (0.67)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
Improving Textual Network Learning with Variational Homophilic Embeddings
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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- North America > United States > New York (0.04)
- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.04)
- Europe > Denmark (0.04)
- Asia > China (0.04)
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation
Neural Information Processing Systems
This paper investigates posterior sampling algorithms for competitive reinforcement learning (RL) in the context of general function approximations.
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- North America > United States (0.14)
- Asia > Middle East > Jordan (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Fuzzy Logic (0.61)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Undirected Networks > Markov Models (0.46)
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- North America > United States (0.14)
- Asia > Middle East > Jordan (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Undirected Networks > Markov Models (0.46)
Why the Metric Backbone Preserves Community Structure
Neural Information Processing Systems
The metric backbone of a weighted graph is the union of all-pairs shortest paths.
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- Europe > Netherlands > South Holland > Leiden (0.04)
- North America > United States > California > Santa Clara County > Palo Alto (0.04)
- North America > United States > California > Alameda County > Berkeley (0.04)
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- Asia > Russia (0.28)
- North America > Canada (0.04)
- Europe > Germany (0.04)
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