Skip to content
conftrace_

data augmentation

3,121 papers

Explore in graph

Also known as

DA

Co-occurring keywords · papers mentioning both

text classification (291) large language model (225) transfer learning (160) image classification (150) representation learning (144) contrastive learning (141) domain adaptation (139) few-shot learning (138) semi-supervised learning (132) self-supervised learning (131)

Papers

LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection CVPR 2021 LightTag: Text Annotation Platform EMNLP 2021 LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features SemEval 2021 Lingua Custodia’s Participation at the WMT 2021 Machine Translation Using Terminologies Shared Task EMNLP 2021 LIORI at SemEval-2021 Task 2: Span Prediction and Binary Classification approaches to Word-in-Context Disambiguation SemEval 2021 LIREx: Augmenting Language Inference with Relevant Explanations AAAI 2021 Logic Guided Genetic Algorithms (Student Abstract) AAAI 2021 Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic SemEval 2021 Lossy Compression for Lossless Prediction NeurIPS 2021 LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting SemEval 2021 Maastricht University’s Multilingual Speech Translation System for IWSLT 2021 ACL 2021 macech at SemEval-2021 Task 5: Toxic Spans Detection SemEval 2021 Machine Reading Comprehension as Data Augmentation: A Case Study on Implicit Event Argument Extraction EMNLP 2021 Mask Guided Matting via Progressive Refinement Network CVPR 2021 MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training CVPR 2021 MEDA: Meta-Learning with Data Augmentation for Few-Shot Text Classification IJCAI 2021 Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization MLHC 2021 Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization NAACL 2021 MetaAugment: Sample-Aware Data Augmentation Policy Learning AAAI 2021 MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition CVPR 2021 Metropolis-Hastings Data Augmentation for Graph Neural Networks NeurIPS 2021 Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization EMNLP 2021 MixKD: Towards Efficient Distillation of Large-scale Language Models ICLR 2021 MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks ICCV 2021 mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation ACL 2021