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Showing results 223 to 242 of 330 < previous next >

Issue Date	Title	Author(s)
2018	Personal Photo Enhancement	Chang, Huiwen
2017	Photo Manipulation, The Easy Way	Fried, Ohad
2018	Pixel-Level Prediction: From Geometry to Semantics	Yu, Fu
2022	Policy Evaluation in Batch Reinforcement Learning	Duan, Yaqi
2017	Polynomial Identity Testing: Derandomization Results and Applications to Algebraic Computation	Mendes de Oliveira, Rafael
2022	Precise Alignment of Serial Section Electron Microscopy Images and Analysis of Neural Circuits	Macrina, Thomas
2022	Predicting Cancer Driver Mutations Using Deep Learning Protein Language Models	Du, Judy
2021	Primal-Dual Method for Reinforcement Learning and Markov Decision Processes	Gong, Hao
2012	Privacy and Integrity in the Untrusted Cloud	Feldman, Ariel Joseph
2018	Privacy Infrastructure for Content and Communications	Edmundson, Anne
2018	Privacy-Preserving Machine Learning via Data Compression & Differential Privacy	Chanyaswad, Thee
2023	Probabilistic Inference When the Model Is Wrong	Cai, Diana
2020	Probabilistic Modeling of Structure in Science: Statistical Physics to Recommender Systems	Altosaar, Jaan
2022	Probabilistic Models for Characterizing Animal Learning and Decision-Making	Ashwood, Zoe
2021	Progressive Automated Formal Verification of Memory Consistency in Parallel Processors	Manerkar, Yatin
2023	Promises and Pitfalls of Generative AI: An AI-Safety Centric Approach	Sehwag, Vikash
2014	A Proof Theory for Loop-Parallelizing Transformations	Bell, Christian James
2013	Provable Algorithms for Machine Learning Problems	Ge, Rong
2022	Provable Reinforcement Learning with Constraints and Function Approximation	Mir Yoosefi, Seyed Sobhan
2016	Quantitative Analysis of Metabolism and Protein Abundance Using Integrative `Omics	Hackett, Sean Richard

Showing results 223 to 242 of 330 < previous next >