A study from arXiv reveals that a benchmark leak caused an OOD detector's AUROC to drop to 0.326, well below chance, because the designated OOD class was actually in the training set. After deleting t…
Efficient Long-hOrizon (ELO) learning, a new learned optimizer, surpasses traditional models like AdamW and Muon across diverse tasks including language modeling and image classification, requiring le…
Researchers propose TheProfessor, a multi-teacher prompt distillation method for vision-language models that ensembles a domain-finetuned teacher and a zero-shot teacher. On four datasets, confidence-…
Researchers have developed Bayesian Conditional Priors (BCP) Estimation, a gradient-free test-time adaptation method that improves multi-label recognition with frozen Vision-Language Models under dist…
Researchers have developed a Marchenko-Pastur (MP) random-matrix approach for pruning deep neural networks that requires minimal post-pruning fine-tuning. The method provides deterministic data-path c…