Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation
Recent advances in deep learning have provided impressive results across a wide range of
computational problems such as computer vision, natural language, or reinforcement …
computational problems such as computer vision, natural language, or reinforcement …
Representation Learning Through the Lens of Science: Symmetry, Language and Symbolic Inductive Biases
RR Dangovski - 2023 - dspace.mit.edu
In this thesis, we explore representation learning, a key technique in machine learning and
artificial intelligence that has led to remarkable advancements in fields such as speech …
artificial intelligence that has led to remarkable advancements in fields such as speech …
Online Tuning of Pre-trained Deep Neural Network for Guidance Against Non-cooperative Pursuer
R Du, Y Shu, J Liu, Y Chen - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In the astronautics, it is widely acknowledged as a hard problem that using neural network to
handle the intelligent observation and guidance when dealing with non-cooperative …
handle the intelligent observation and guidance when dealing with non-cooperative …