Data Augmentation

Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models EMNLP 2023 Leveraging Domain Adaptation and Data Augmentation to Improve Qur’anic IR in English and Arabic EMNLP 2023 Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries EMNLP 2023 LexSym: Compositionality as Lexical Symmetry ACL 2023 Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field CVPR 2023 LIQUID: A Framework for List Question Answering Dataset Generation AAAI 2023 LLM-powered Data Augmentation for Enhanced Cross-lingual Performance EMNLP 2023 Lookaround Optimizer: k steps around, 1 step average NeurIPS 2023 Low-Resource Comparative Opinion Quintuple Extraction by Data Augmentation with Prompting EMNLP 2023 Machine Learning Force Fields with Data Cost Aware Training ICML 2023 Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation ICCV 2023 Making Large Language Models Better Data Creators EMNLP 2023 Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation ACL 2023 MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins CVPR 2023 Markov Game Video Augmentation for Action Segmentation ICCV 2023 Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages SemEval 2023 [MASK] Insertion: a robust method for anti-adversarial attacks EACL 2023 Measuring the Impact of Data Augmentation Methods for Extremely Low-Resource NMT EACL 2023 MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation CVPR 2023 Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection CVPR 2023 MetricAug: A Distortion Metric-Lead Augmentation Strategy for Training Noise-Robust Speech Emotion Recognizer Interspeech 2023 MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty EMNLP 2023 MIM4DD: Mutual Information Maximization for Dataset Distillation NeurIPS 2023 MIMEx: Intrinsic Rewards from Masked Input Modeling NeurIPS 2023 MIMO Is All You Need：A Strong Multi-in-Multi-Out Baseline for Video Prediction AAAI 2023