Data Augmentation

Data augmentation in Bayesian neural networks and the cold posterior effect UAI 2022 Data Augmentation Using McAdams-Coefficient-Based Speaker Anonymization for Fake Audio Detection Interspeech 2022 Data Augmentation with Dual Training for Offensive Span Detection NAACL 2022 Data Augmented 3D Semantic Scene Completion With 2D Segmentation Priors WACV 2022 Data-Augmented Contact Model for Rigid Body Simulation L4DC 2022 Data Cartography for Low-Resource Neural Machine Translation EMNLP 2022 Data-Efficient Augmentation for Training Neural Networks NeurIPS 2022 DataLab: A Platform for Data Analysis and Intervention ACL 2022 Dataset Augmentation in Papyrology with Generative Models: A Study of Synthetic Ancient Greek Character Images IJCAI 2022 Dataset Condensation with Contrastive Signals ICML 2022 Dataset Distillation using Neural Feature Regression NeurIPS 2022 Dataset Distillation via Factorization NeurIPS 2022 Dataset Pruning for Resource-constrained Spoofed Audio Detection Interspeech 2022 Day-to-Night Image Synthesis for Training Nighttime Neural ISPs CVPR 2022 DE-ABUSE@TamilNLP-ACL 2022: Transliteration as Data Augmentation for Abuse Detection in Tamil ACL 2022 Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective NeurIPS 2022 Deepchecks: A Library for Testing and Validating Machine Learning Models and Data JMLR 2022 DeepFoids: Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement Learning NeurIPS 2022 Deep invariant networks with differentiable augmentation layers NeurIPS 2022 Deep Learning Approaches for Detecting Alzheimer’s Dementia from Conversational Speech of ILSE Study Interspeech 2022 Defending Against Image Corruptions Through Adversarial Augmentations ICLR 2022 Degrade Is Upgrade: Learning Degradation for Low-Light Image Enhancement AAAI 2022 DENT-DDSP: Data-efficient noisy speech generator using differentiable digital signal processors for explicit distortion modelling and noise-robust speech recognition Interspeech 2022 DepressionOne@LT-EDI-ACL2022: Using Machine Learning with SMOTE and Random UnderSampling to Detect Signs of Depression on Social Media Text. ACL 2022 Detecting Label Errors by Using Pre-Trained Language Models EMNLP 2022