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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

CVAE-based Re-anchoring for Implicit Discourse Relation Classification EMNLP 2021
Simulated Chats for Building Dialog Systems: Learning to Generate Conversations from Instructions EMNLP 2021
Compositional Data and Task Augmentation for Instruction Following EMNLP 2021
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation EMNLP 2021
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data EMNLP 2021
Causal Augmentation for Causal Sentence Classification EMNLP 2021
TermMind: Alibaba’s WMT21 Machine Translation Using Terminologies Task Submission EMNLP 2021
Improved Handling of Motion Blur in Online Object Detection CVPR 2021
What Can Style Transfer and Paintings Do for Model Robustness? CVPR 2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework CVPR 2021
LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection CVPR 2021
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias CVPR 2021
What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels CVPR 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization CVPR 2021
Regularizing Generative Adversarial Networks Under Limited Data CVPR 2021
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation CVPR 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR 2021
AutoBalance: Optimized Loss Functions for Imbalanced Data NIPS 2021
How Data Augmentation affects Optimization for Linear Regression NIPS 2021
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data NIPS 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training NIPS 2021
Improving Robustness using Generated Data NIPS 2021
Data-Efficient Instance Generation from Instance Discrimination NIPS 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect NIPS 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style NIPS 2021