conftrace_

mixup training

16 papers

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Co-occurring keywords

data augmentation (3052) label smoothing (108) model calibration (232) word error rate (406) uncertainty estimation (648) latent space (854) deep neural network (1803) automatic speech recognition (1774) text classification (6793) latent space geometry (9)

Papers

Out-Of-Distribution Detection with Diversification (Provably) NIPS 2024
Robust Image Denoising through Adversarial Frequency Mixup CVPR 2024
Adversarial robustness of VAEs through the lens of local geometry AISTATS 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration ICCV 2023
On the Pitfall of Mixup for Uncertainty Calibration CVPR 2023
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
Logit Mixing Training for More Reliable and Accurate Prediction IJCAI 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup NIPS 2022
Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup EMNLP 2021
Mixup Decoding for Diverse Machine Translation EMNLP 2021
Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS INTERSPEECH 2020
Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training EMNLP 2020
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks NIPS 2019
Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples CVPR 2019
An Investigation of Mixup Training Strategies for Acoustic Models in ASR INTERSPEECH 2018