data augmentation

DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling CVPR 2023 Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning ICCV 2023 Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion AAAI 2023 Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation NeurIPS 2023 Does progress on ImageNet transfer to real-world datasets? NeurIPS 2023 Domain Generalization via Balancing Training Difficulty and Model Capability ICCV 2023 DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning NeurIPS 2023 DREAM: Efficient Dataset Distillation by Representative Matching ICCV 2023 DSHacker at SemEval-2023 Task 3: Genres and Persuasion Techniques Detection with Multilingual Data Augmentation through Machine Translation and Text Generation SemEval 2023 Dynamic Regularization in UDA for Transformers in Multimodal Classification ACL 2023 ECG-QALM: Entity-Controlled Synthetic Text Generation using Contextual Q&A for NER ACL 2023 Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data ACL 2023 EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones ICCV 2023 Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples NeurIPS 2023 End-to-end Adversarial Sample Generation for Data Augmentation EMNLP 2023 Enhanced Training Methods for Multiple Languages ACL 2023 Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information EMNLP 2023 Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification NeurIPS 2023 Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning ICCV 2023 Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks ACL 2023 EquiMod: An Equivariance Module to Improve Visual Instance Discrimination ICLR 2023 Euphemistic Abuse – A New Dataset and Classification Experiments for Implicitly Abusive Language EMNLP 2023 Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking EMNLP 2023 Expanding Small-Scale Datasets with Guided Imagination NeurIPS 2023 Expert Data Augmentation in Imitation Learning (Student Abstract) AAAI 2023