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Princeton University Masters Theses, 2022-2024
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Princeton University Masters Theses, 2022-2024
Chemical and Biological Engineering
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Computer Science, 2023
Department of Mechanical and Aerospace Engineering, 2022
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Issue Date
Title
Author(s)
2023
What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
Pan, Jane
2023
On the Manipulability of Tournament Rules by Throwing Matches
Sathyanarayanan, Sacheth
2023
Bayesian Filtering for Neural Networks
Bencomo, Gianluca Michele
2023
Counter-Based Summarization of Recursive Procedures
Pimpalkhare, Nikhil
2023
QUICstep: Circumventing QUIC-based Censorship
Jia, Watson
2023
Constructing Printable Surfaces with View-Dependent Appearance
Perroni-Scharf, Maxine Alexandra
2023
Spatial Birth-Death Point Process Models for Controllable Morphogenesis
Wantlin, Kathryn
2023
Investigating Persuasiveness in Large Language Models
Ekpo, Promise Osaine
2023
Learning Language through Interactions with the Digital World
Yang, John Boda
2023
Only Pay for What You Leak: Leveraging Sandboxes for a Minimally Invasive Browser Fingerprinting Defense
Torok, Ryan Daniel
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Author
1
Ajith, Anirudh
1
Bencomo, Gianluca Michele
1
Chhabria, Sabhya
1
Defay, John A
1
Ekpo, Promise Osaine
1
Ferragu, Constance
1
Gupta, Aatmik
1
Huang, Linhui
1
Jia, Watson
1
Liu, Grace
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Subject
8
Artificial intelligence
4
Machine Learning
3
Computer Vision
3
Interpretability
3
large language models
3
Neural Networks
2
Computer Science
2
Generative AI
2
Large Language Models
2
machine learning
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Date issued
17
2024
11
2023