Data Augmentation
3,648 papers
Papers per year
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35
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Papers
Intra-Class Part Swapping for Fine-Grained Image Classification
WACV 2021
Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis
NeurIPS 2021
Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds
Interspeech 2021
Investigation on Data Adaptation Techniques for Neural Named Entity Recognition
ACL 2021
Isotonic Data Augmentation for Knowledge Distillation
IJCAI 2021
Joining datasets via data augmentation in the label space for neural networks
ICML 2021
Joint-Label Learning by Dual Augmentation for Time Series Classification
AAAI 2021
Joint Summarization-Entailment Optimization for Consumer Health Question Understanding
NAACL 2021
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
CVPR 2021
Kernel-convoluted Deep Neural Networks with Data Augmentation
AAAI 2021
Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training
NAACL 2021
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning
NeurIPS 2021
Language Conditioned Imitation Learning Over Unstructured Data
RSS 2021
Large-Scale English-Japanese Simultaneous Interpretation Corpus: Construction and Analyses with Sentence-Aligned Data
ACL 2021
LAST at CMCL 2021 Shared Task: Predicting Gaze Data During Reading with a Gradient Boosting Decision Tree Approach
NAACL 2021
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification
ACL 2021
Learning Backchanneling Behaviors for a Social Robot via Data Augmentation from Human-Human Conversations
CoRL 2021
Learning Data Augmentation Schedules for Natural Language Processing
EMNLP 2021
Learning Data Augmentation With Online Bilevel Optimization for Image Classification
WACV 2021
Learning Debiased Representation via Disentangled Feature Augmentation
NeurIPS 2021
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora
EMNLP 2021
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding
EMNLP 2021
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
ACL 2021
Learning perturbation sets for robust machine learning
ICLR 2021
Learning to Augment for Data-scarce Domain BERT Knowledge Distillation
AAAI 2021