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Showing results 69 to 81 of 81 < previous 
Issue DateTitleAuthor(s)
2020The Role of Data Geometry in Adversarial Machine LearningBhagoji, Arjun Nitin Nitin
2023The Role Of Nonparametric Inference In Computational Models Of Categorization And AnalogyBattleday, Ruairidh McLennan
2023The successes and failures of human drivesDubey, Rachit
2018Thompson Sampling for Bandit ProblemsLIU, CHE-YU
2022Towards Efficient and Effective Deep Model-based Reinforcement LearningLuo, Yuping
2020Towards Flexible Active And Online Learning With Neural NetworksAsh, Jordan
2024Towards Optimizing In-Context Learning and Ensuring Data Transparency in Large Language ModelsAjith, Anirudh
2022Towards Understanding Self-Supervised Representation LearningSaunshi, Nikunj Umesh
2023Training Deep Neural Networks with In-Memory ComputingGrimm, Christopher Lee
2024Translating between Scientific Computing and Machine Learning with Automatic DifferentiationOktay, Deniz
2021Understanding Deep Learning via Analyzing Dynamics of Gradient DescentHu, Wei
2024Understanding the Role of Data in Model DecisionsGupta, Arushi
2024UNLOCKING TRUSTWORTHY MACHINE LEARNING WITH SPARSITYPanda, Ashwinee
Showing results 69 to 81 of 81 < previous