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cs.CV2025
What Makes a Good Dataset for Knowledge Distillation?
Logan Frank, Jim Davis
Knowledge distillation (KD) has been a popular and effective method for model compression. One important assumption of KD is that the teacher's original dataset will also be availa…
cs.CV2024
Deep Learning Improvements for Sparse Spatial Field Reconstruction
Robert Sunderhaft, Logan Frank, Jim Davis
Accurately reconstructing a global spatial field from sparse data has been a longstanding problem in several domains, such as Earth Sciences and Fluid Dynamics. Historically, scien…