mixup training

Out-Of-Distribution Detection with Diversification (Provably) NeurIPS 2024 Robust Image Denoising through Adversarial Frequency Mixup CVPR 2024 Adversarial robustness of VAEs through the lens of local geometry AISTATS 2023 On the Pitfall of Mixup for Uncertainty Calibration CVPR 2023 RankMixup: Ranking-Based Mixup Training for Network Calibration ICCV 2023 Logit Mixing Training for More Reliable and Accurate Prediction IJCAI 2022 On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency ACL 2022 SelfMix: Robust Learning against Textual Label Noise with Self-Mixup Training COLING 2022 Towards Understanding the Data Dependency of Mixup-style Training ICLR 2022 UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup NeurIPS 2022 Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup EMNLP 2021 How Does Mixup Help With Robustness and Generalization? ICLR 2021 Mixup Decoding for Diverse Machine Translation EMNLP 2021 Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training EMNLP 2020 Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS Interspeech 2020 Towards More Accurate Uncertainty Estimation In Text Classification EMNLP 2020 On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks NeurIPS 2019 Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples CVPR 2019 An Investigation of Mixup Training Strategies for Acoustic Models in ASR Interspeech 2018