Rejected at #ICLR2025:

Scalable Ensemble Diversification for OOD Generalisation and Detection

- Current approach: Ensemble diversification relies on a separate source of OOD samples for training models to diversify outputs.

- Ours: Use samples from the training set itself to diversify ensembles.

Another #ICLR2025 paper:

Intermediate Layer Classifiers for OOD generalization

- Common approach: Use penultimate-layer features of pre-trained models for downstream tasks.

- Our recommendation: Explore lower-layer features. You'll likely find better layers for OOD generalisation.

Finally accepted! #ICLR2025

Do Deep Neural Network Solutions Form a Star Domain?

- Known: as DNN width --> infty, solutions become convex modulo permutations of neurons.

- What's new: as DNN width --> infty, solutions **first form a star domain** and then a convex domain modulo permutations.

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