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Data Augmentation
3622 directly classified papers
Papers per year
2002: 2
2006: 1
2008: 2
2009: 1
2011: 3
2012: 3
2013: 9
2014: 8
2015: 7
2016: 35
2017: 45
2018: 108
2019: 239
2020: 329
2021: 477
2022: 518
2023: 607
2024: 561
2025: 546
2026: 121
Papers
Improving Cross-Lingual CSR Classification Using Pretrained Transformers with Variable Selection Networks and Data Augmentation
COLING 2024
Spatial-Temporal Augmentation for Crime Prediction (Student Abstract)
AAAI 2024
QuickRender: A Photorealistic Procedurally Generated Dataset with Applications to Super Resolution (Student Abstract)
AAAI 2024
Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning
ACML 2024
NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement
AAAI 2024
Managing Fine-grained Metadata for Text Bases in Extremely Low Resource Languages: The Cases of Two Regional Languages of France
COLING 2024
Continual Learning in the Frequency Domain
NIPS 2024
Image Captioning with Multi-Context Synthetic Data
AAAI 2024
Limitations of Face Image Generation
AAAI 2024
Overcoming Early Saturation on Low-Resource Languages in Multilingual Dependency Parsing
COLING 2024
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models
ACL 2024
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond
AAAI 2024
VIGC: Visual Instruction Generation and Correction
AAAI 2024
Deep Learning on Graphs: A Data-Centric Exploration
AAAI 2024
Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation
AAAI 2024
Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach
AAAI 2024
TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation
AAAI 2024
AdvST: Revisiting Data Augmentations for Single Domain Generalization
AAAI 2024
You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions
EMNLP 2024
Quality-Diversity Generative Sampling for Learning with Synthetic Data
AAAI 2024
Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding
AAAI 2024
Altogether: Image Captioning via Re-aligning Alt-text
EMNLP 2024
Detection and Defense of Unlearnable Examples
AAAI 2024
Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts
AAAI 2024
Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization
AAAI 2024
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