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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

C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling AAAI 2021
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization AAAI 2021
Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation AAAI 2021
Logic Guided Genetic Algorithms (Student Abstract) AAAI 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective NIPS 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness NIPS 2021
Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space ACML 2021
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration NIPS 2021
Explanation-based Data Augmentation for Image Classification NIPS 2021
Grounding inductive biases in natural images: invariance stems from variations in data NIPS 2021
Adaptive Data Augmentation on Temporal Graphs NIPS 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics CORL 2021
Learning Backchanneling Behaviors for a Social Robot via Data Augmentation from Human-Human Conversations CORL 2021
ReMix: Towards Image-to-Image Translation With Limited Data CVPR 2021
Improving Panoptic Segmentation at All Scales CVPR 2021
Representative Forgery Mining for Fake Face Detection CVPR 2021
DeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach SEMEVAL 2021
Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation SEMEVAL 2021
SRPOL DIALOGUE SYSTEMS at SemEval-2021 Task 5: Automatic Generation of Training Data for Toxic Spans Detection SEMEVAL 2021
MetaAugment: Sample-Aware Data Augmentation Policy Learning AAAI 2021
Semantic Palette: Guiding Scene Generation With Class Proportions CVPR 2021
StyleMix: Separating Content and Style for Enhanced Data Augmentation CVPR 2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets CVPR 2021
On Feature Normalization and Data Augmentation CVPR 2021
Neural Camera Simulators CVPR 2021