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Md Yousuf Harun

2 accepted papers

2025

Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning

ICML 2025poster

Out-of-distribution (OOD) detection and OOD generalization are widely studied in Deep Neural Networks (DNNs), yet their relationship remains poorly understood. We empirically show that the degree of Neural Collapse (NC) in a network layer is inversely related with these objectives: stronger NC impro…

Cited by 1SourcePDFScholar
2024

What Variables Affect Out-of-Distribution Generalization in Pretrained Models?

NeurIPS 2024poster

Embeddings produced by pre-trained deep neural networks (DNNs) are widely used; however, their efficacy for downstream tasks can vary widely. We study the factors influencing transferability and out-of-distribution (OOD) generalization of pre-trained DNN embeddings through the lens of the tunnel eff…

Cited by 2SourcePDFScholar