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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

Hallucination Improves Few-Shot Object Detection CVPR 2021
Unsupervised Pre-Training for Person Re-Identification CVPR 2021
Truly Shift-Invariant Convolutional Neural Networks CVPR 2021
GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving CVPR 2021
AutoFlow: Learning a Better Training Set for Optical Flow CVPR 2021
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation CVPR 2021
macech at SemEval-2021 Task 5: Toxic Spans Detection SEMEVAL 2021
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes SEMEVAL 2021
Metropolis-Hastings Data Augmentation for Graph Neural Networks NIPS 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style NIPS 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect NIPS 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA ACL 2021
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER ACL 2021
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach EMNLP 2021
LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection CVPR 2021
Maastricht University’s Multilingual Speech Translation System for IWSLT 2021 ACL 2021
DeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach ACL 2021
Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation ACL 2021
Towards Equal Gender Representation in the Annotations of Toxic Language Detection ACL 2021
Revisiting Self-training for Few-shot Learning of Language Model EMNLP 2021
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View AAAI 2021
Automatic Data Augmentation for Generalization in Reinforcement Learning NIPS 2021
Modeling the Probabilistic Distribution of Unlabeled Data for One-shot Medical Image Segmentation AAAI 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL NIPS 2021
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation NIPS 2021