Data Augmentation

EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost IJCAI 2024 Estimating the Level of Dialectness Predicts Inter-annotator Agreement in Multi-dialect Arabic Datasets ACL 2024 Eulerian at BioLaySumm: Preprocessing Over Abstract is All You Need ACL 2024 Evaluating the Potential of Language-family-specific Generative Models for Low-resource Data Augmentation: A Faroese Case Study COLING 2024 Evaluation of Question Answer Generation for Portuguese: Insights and Datasets EMNLP 2024 EventRPG: Event Data Augmentation with Relevance Propagation Guidance ICLR 2024 Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation COLING 2024 Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models NAACL 2024 Exploring Data Augmentation in Neural DRS-to-Text Generation EACL 2024 Exploring Self-supervised Embeddings and Synthetic Data Augmentation for Robust Audio Deepfake Detection Interspeech 2024 Exploring the impact of noise in low-resource ASR for Tamil EACL 2024 Exploring the Impact of Rendering Method and Motion Quality on Model Performance When Using Multi-View Synthetic Data for Action Recognition WACV 2024 Exploring the Potential of Dense Information in Multimodal Alignment ACL 2024 Extremely Weakly-supervised Text Classification with Wordsets Mining and Sync-Denoising NAACL 2024 FastDrag: Manipulate Anything in One Step NeurIPS 2024 FedAvP: Augment Local Data via Shared Policy in Federated Learning NeurIPS 2024 Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization AAAI 2024 Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering EACL 2024 Fine-grained Control of Generative Data Augmentation in IoT Sensing NeurIPS 2024 Flow-Event Autoencoder: Event Stream Object Recognition Dataset Generation with Arbitrary High Temporal Resolution AAAI 2024 Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification CVPR 2024 Fraunhofer SIT at WASSA 2024 Empathy and Personality Shared Task: Use of Sentiment Transformers and Data Augmentation With Fuzzy Labels to Predict Emotional Reactions in Conversations and Essays ACL 2024 Frequency-mix Knowledge Distillation for Fake Speech Detection Interspeech 2024 From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024 From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis EMNLP 2024