out-of-distribution data

Trainable Projected Gradient Method for Robust Fine-Tuning CVPR 2023 Class-Aware Contrastive Semi-Supervised Learning CVPR 2022 Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features EMNLP 2022 Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets ICML 2022 To Trust or Not To Trust Prediction Scores for Membership Inference Attacks IJCAI 2022 Decentralized Sharing and Valuation of Fleet Robotic Data CoRL 2021 Don’t Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques EMNLP 2021 Improving Adversarial Robustness via Unlabeled Out-of-Domain Data AISTATS 2021 Model-Based Domain Generalization NeurIPS 2021 Removing Undesirable Feature Contributions Using Out-of-Distribution Data ICLR 2021 RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning NeurIPS 2021 Safe Weakly Supervised Learning IJCAI 2021 Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data NeurIPS 2021