data augmentation

Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain ICCV 2021 An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation ICCV 2021 An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems Interspeech 2021 An Evaluation of Data Augmentation Methods for Sound Scene Geotagging Interspeech 2021 An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation Interspeech 2021 Approaching SMM4H with auto-regressive language models and back-translation NAACL 2021 A Prototypical Network Approach for Evaluating Generated Emotional Speech Interspeech 2021 Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions ACL 2021 Artificial Dummies for Urban Dataset Augmentation AAAI 2021 A Semantic Feature-Wise Transformation Relation Network for Automatic Short Answer Grading EMNLP 2021 A Simple Baseline for Semi-Supervised Semantic Segmentation With Strong Data Augmentation ICCV 2021 A Simple Feature Augmentation for Domain Generalization ICCV 2021 A Speech Emotion Recognition Framework for Better Discrimination of Confusions Interspeech 2021 A Survey on Low-Resource Neural Machine Translation IJCAI 2021 A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios NAACL 2021 Attack-Guided Perceptual Data Generation for Real-World Re-Identification ICCV 2021 AugMax: Adversarial Composition of Random Augmentations for Robust Training NeurIPS 2021 Augmentation Strategies for Learning With Noisy Labels CVPR 2021 Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks NAACL 2021 Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space ACML 2021 Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models Interspeech 2021 AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation ACL 2021 AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models EMNLP 2021 AutoBalance: Optimized Loss Functions for Imbalanced Data NeurIPS 2021 AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation CVPR 2021