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data augmentation

3037 papers

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Also known as

DA-MCMC DADA DA TTA ADA EDA

Co-occurring keywords

text classification (6776) large language model (12755) transfer learning (5442) semi-supervised learning (2331) few-shot learning (3390) domain adaptation (4578) machine translation (2472) image classification (1943) language model (4573) low-resource language (2234)

Papers

How to use Language Models for Synthetic Text Generation in Cerebrovascular Disease-specific Medical Reports EACL 2024
Detection and Defense of Unlearnable Examples AAAI 2024
Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts AAAI 2024
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective JMLR 2024
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation AAAI 2024
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling ACL 2024
Dolomites@#SMM4H 2024: Helping LLMs “Know The Drill” in Low-Resource Settings - A Study on Social Media Posts ACL 2024
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation ACL 2024
Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization AAAI 2024
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation AAAI 2024
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data AAAI 2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2024
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training AAAI 2024
NodeMixup: Tackling Under-Reaching for Graph Neural Networks AAAI 2024
Learning Only When It Matters: Cost-Aware Long-Tailed Classification AAAI 2024
Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach AAAI 2024
A Comprehensive Augmentation Framework for Anomaly Detection AAAI 2024
Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation AAAI 2024
Random Smoothing Regularization in Kernel Gradient Descent Learning JMLR 2024
Is a Large Language Model a Good Annotator for Event Extraction? AAAI 2024
TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training AAAI 2024
Object-Aware Domain Generalization for Object Detection AAAI 2024
Weakly Supervised Semantic Segmentation for Driving Scenes AAAI 2024
Well Begun Is Half Done: An Implicitly Augmented Generative Framework with Distribution Modification for Hierarchical Text Classification COLING 2024
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond AAAI 2024