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End to end learning and optimization on graphs
Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe
Neural Information Processing Systems http://nips.cc/
- North America > United States > California (0.14)
- North America > Canada (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
LinkNet: Relational Embedding for Scene Graph
Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon
Neural Information Processing Systems http://nips.cc/
- Asia > South Korea > Daejeon > Daejeon (0.05)
- North America > Canada > Quebec > Montreal (0.04)
- North America > United States > Washington > King County > Redmond (0.04)
- Asia > China > Jiangsu Province > Nanjing (0.04)
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
This allows us to depict richer global behaviors of SAM.
- Europe > Switzerland > Zürich > Zürich (0.14)
- Europe > Romania > Sud - Muntenia Development Region > Giurgiu County > Giurgiu (0.04)
- Research Report > Experimental Study (1.00)
- Research Report > New Finding (0.67)
- North America > Trinidad and Tobago > Trinidad > Arima > Arima (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Vietnam (0.04)
- Africa > Mali (0.04)
- Banking & Finance (0.68)
- Health & Medicine (0.46)
Sequential Experimental Design for Transductive Linear Bandits
Tanner Fiez, Lalit Jain, Kevin G. Jamieson, Lillian Ratliff
Neural Information Processing Systems http://nips.cc/
- North America > United States > New Jersey > Hudson County > Hoboken (0.04)
- North America > Canada (0.04)
Compressed Video Prompt Tuning Bing Li1,2 Jiaxin Chen
Compressed videos offer a compelling alternative to raw videos, showing the possibility to significantly reduce the on-line computational and storage cost.
- Asia > China > Beijing > Beijing (0.04)
- Asia > Middle East > Republic of Türkiye > Karaman Province > Karaman (0.04)
- Asia > China > Guangxi Province > Nanning (0.04)
Strategizing against No-regret Learners
Yuan Deng, Jon Schneider, Balasubramanian Sivan
How should a player who repeatedly plays a game against a no-regret learner strategize to maximize his utility?
- North America > United States > New York > Tompkins County > Ithaca (0.04)
- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.04)
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks
Neural Information Processing Systems http://nips.cc/
- North America > United States > California > Los Angeles County > Los Angeles (0.14)
- Europe > United Kingdom > England > Oxfordshire > Oxford (0.04)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- (2 more...)
- Health & Medicine > Therapeutic Area > Oncology (1.00)
- Health & Medicine > Pharmaceuticals & Biotechnology (1.00)
- Health & Medicine > Therapeutic Area > Immunology (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.68)