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cs.CV2024
PRG: Prompt-Based Distillation Without Annotation via Proxy Relational Graph
Yijin Xu, Jialun Liu, Hualiang Wei +1
In this paper, we propose a new distillation method for extracting knowledge from Large Foundation Models (LFM) into lightweight models, introducing a novel supervision mode that d…
cs.LG2024
Fully Heteroscedastic Count Regression with Deep Double Poisson Networks
Spencer Young, Porter Jenkins, Longchao Da +2
Neural networks capable of accurate, input-conditional uncertainty representation are essential for real-world AI systems. Deep ensembles of Gaussian networks have proven highly ef…