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OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift

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OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift

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Robust machine learning for neuroscientific inference

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

Making Computer Vision Models Robust and Adaptive

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Robust machine learning for neuroscientific inference

Improving Generalization of Pretrained Language Models

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

Learning Robust and Adaptive Representations: from Interactions, for Interactions

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

Deep Learning Generalization with Limited and Noisy Labels

Arbitrary Decisions are a Hidden Cost of Differentially Private Training

Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback

Making Computer Vision Models Robust and Adaptive

Federated Learning under Covariate Shifts with Generalization Guarantees