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PlaytoGrade: TestingCodingGamesasClassifying MarkovDecisionProcess

Neural Information Processing Systems

Contemporary codingeducation oftenpresents students withthetaskofdeveloping programs that have user interaction and complex dynamic systems, such as mousebasedgames.



0d18ab3b5fabfa6fe47c62e711af02f0-Supplemental-Conference.pdf

Neural Information Processing Systems

Inpractice,astronger 3D object detection method as ourDeepInteraction model is expected to reduce the potential accidents of self-driving cars. This improves the safety and reliability of autonomous driving. A.3 Limitations All the components for multi-modal fusion in ourDeepInteraction have no preference to any per-modalrepresentations. We will explore how to generate initial queries from both modalities (i.e., LiDAR'sbird-eyes-viewandcamera'sfront-view). The bounding boxesofground-truth and predictions are inthe color blue and green respectively.


Rethinking the Backward Propagation for Adversarial Transferability Xiaosen Wang

Neural Information Processing Systems

Recently, several works have been proposed to boost adversarial transferability, in which the surrogate model is usually overlooked. In this work, we identify that non-linear layers ( e.g .



With a Super Bowl ad, California governor's race 'is now kicked into gear'

Los Angeles Times

Things to Do in L.A. Tap to enable a layout that focuses on the article. With a Super Bowl ad, California governor's race'is now kicked into gear' San Josรฉ Mayor Matt Mahan, a moderate Democrat, has broken with Gov. Gavin Newsom on crime and other issues and is pitching himself as a pragmatist. This is read by an automated voice. Please report any issues or inconsistencies here . Backers of Matt Mahan, San Josรฉ's mayor, spend $1.4 million in Super Bowl ad campaign funded by Silicon Valley tech executives to boost his gubernatorial bid.



0cfc9404f89400c5ed897035e0d3748c-Paper-Conference.pdf

Neural Information Processing Systems

Machine learning models are often personalized by usinggroup attributesthat encodepersonalcharacteristics(e.g.,sex,agegroup,HIVstatus). Insuchsettings, individuals expect to receive more accurate predictions in return for disclosing group attributes to the personalized model.