From the 2 of 16 linked papers with an AI index.
3 papers · 1 filter
Level, Sharpness, and Corpus: Why Zero-Shot OOD Detector Rankings Do Not Transfer
Ignacio M. De la Jara, Cristian Rodriguez-Opazo, Stephen Gould +1
The paper shows that zero-shot out-of-distribution detector rankings do not reliably transfer across vision-language model deployments and proposes a detector-agnostic wrapper, the…
Representation Trajectories Matters: Complementary Evidence for OOD Detection and Image Classification
Ignacio M. De la Jara, Cristian Rodriguez-Opazo, Hamed Damirchi +2
The paper investigates how the step‑by‑step changes in a vision model’s internal representations (representation trajectories) can be used to improve out‑of‑distribution detection…
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
I. M. De la Jara, C. Rodriguez-Opazo, D. Teney +2
Out-of-distribution (OOD) detection is essential for reliably deploying machine learning models in the wild. Yet, most methods treat large pre-trained models as monolithic encoders…