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data augmentation

3052 papers

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DA

Co-occurring keywords

text classification (6793) large language model (13587) transfer learning (5449) semi-supervised learning (2341) few-shot learning (3398) domain adaptation (4595) machine translation (2499) image classification (1944) language model (4599) low-resource language (2273)

Papers

Bias-Eliminating Augmentation Learning for Debiased Federated Learning CVPR 2023
A Neural CRF-based Hierarchical Approach for Linear Text Segmentation EACL 2023
Label efficient semi-supervised conversational intent classification ACL 2023
Consistent Text Categorization using Data Augmentation in e-Commerce ACL 2023
Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning NIPS 2023
Understanding and Mitigating Copying in Diffusion Models NIPS 2023
Towards robust and generalizable representations of extracellular data using contrastive learning NIPS 2023
Lookaround Optimizer: $k$ steps around, 1 step average NIPS 2023
Frequency Domain-Based Dataset Distillation NIPS 2023
SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization CVPR 2023
Exploring Zero and Few-shot Techniques for Intent Classification ACL 2023
A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks ACL 2023
Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping With Degradation Generator CVPR 2023
Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments CVPR 2023
LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization CVPR 2023
Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning CVPR 2023
AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation ACL 2023
Benchmarking Robustness to Adversarial Image Obfuscations NIPS 2023
Improving multimodal datasets with image captioning NIPS 2023
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection NIPS 2023
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning NIPS 2023
Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings ACML 2023
Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation NIPS 2023
Back-Modality: Leveraging Modal Transformation for Data Augmentation NIPS 2023
Training on Foveated Images Improves Robustness to Adversarial Attacks NIPS 2023