data augmentation

Deep Learning on Graphs: A Data-Centric Exploration AAAI 2024 Defending Object Detection Models Against Image Distortions WACV 2024 Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection EMNLP 2024 Delving into the Trajectory Long-tail Distribution for Muti-object Tracking CVPR 2024 Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph NAACL 2024 Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data CVPR 2024 Depth-aware Test-Time Training for Zero-shot Video Object Segmentation CVPR 2024 DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception CVPR 2024 Detection and Defense of Unlearnable Examples AAAI 2024 DetectiveReDASers at HSD-2Lang 2024: A New Pooling Strategy with Cross-lingual Augmentation and Ensembling for Hate Speech Detection in Low-resource Languages EACL 2024 Deterministic Reversible Data Augmentation for Neural Machine Translation ACL 2024 DFKI-MLST at DialAM-2024 Shared Task: System Description ACL 2024 DICE @ ML-ESG-3: ESG Impact Level and Duration Inference Using LLMs for Augmentation and Contrastive Learning COLING 2024 DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation ICML 2024 DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models CVPR 2024 Diffusion Based Counterfactual Augmentation for Dual Sentiment Classification COLING 2024 Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering ICML 2024 Disentangling Domain and General Representations for Time Series Classification IJCAI 2024 Distribution-Aware Data Expansion with Diffusion Models NeurIPS 2024 DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data CVPR 2024 Diverse Person: Customize Your Own Dataset for Text-Based Person Search AAAI 2024 DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness SemEval 2024 Do Generated Data Always Help Contrastive Learning? ICLR 2024 Dolomites@#SMM4H 2024: Helping LLMs “Know The Drill” in Low-Resource Settings - A Study on Social Media Posts ACL 2024 Domain Gap Embeddings for Generative Dataset Augmentation CVPR 2024