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Making Better Mistakes in CLIP-Based Zero-Shot Classification with Hierarchy-Aware Language Prompts
Tong Liang, Jim Davis
Recent studies are leveraging advancements in large language models (LLMs) trained on extensive internet-crawled text data to generate textual descriptions of downstream classes in…
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity
Tong Liang, Jim Davis
There is a recently discovered and intriguing phenomenon called Neural Collapse: at the terminal phase of training a deep neural network for classification, the within-class penult…
Learning When to Say "I Don't Know"
Nicholas Kashani Motlagh, Jim Davis, Tim Anderson +1
We propose a new Reject Option Classification technique to identify and remove regions of uncertainty in the decision space for a given neural classifier and dataset. Such existing…
Revisiting Batch Norm Initialization
Jim Davis, Logan Frank
Batch normalization (BN) is comprised of a normalization component followed by an affine transformation and has become essential for training deep neural networks. Standard initial…