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Data Augmentation

3622 directly classified papers

Papers per year

Papers

Multilingual Summarization with Factual Consistency Evaluation ACL 2023
Codex to corpus: Exploring annotation and processing for an open and extensible machine-readable edition of the Florentine Codex ACL 2023
Mitigating Exposure Bias in Grammatical Error Correction with Data Augmentation and Reweighting EACL 2023
Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection ACL 2023
CDA: A Contrastive Data Augmentation Method for Alzheimer’s Disease Detection ACL 2023
CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality ACL 2023
Exploring Chemical Space with Score-based Out-of-distribution Generation ICML 2023
Provable Benefit of Mixup for Finding Optimal Decision Boundaries ICML 2023
TRAK: Attributing Model Behavior at Scale ICML 2023
A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing EACL 2023
When does Privileged information Explain Away Label Noise? ICML 2023
Input Perturbation Reduces Exposure Bias in Diffusion Models ICML 2023
Graph Mixup with Soft Alignments ICML 2023
Exploiting Summarization Data to Help Text Simplification EACL 2023
General Covariance Data Augmentation for Neural PDE Solvers ICML 2023
Towards Understanding and Reducing Graph Structural Noise for GNNs ICML 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023
Evidential Interactive Learning for Medical Image Captioning ICML 2023
Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking EACL 2023
Transformed Distribution Matching for Missing Value Imputation ICML 2023
Investigating Lexical Replacements for Arabic-English Code-Switched Data Augmentation EACL 2023
Regularization-free Diffeomorphic Temporal Alignment Nets ICML 2023
Towards Controlled Data Augmentations for Active Learning ICML 2023
Data-Efficient Methods For Improving Hate Speech Detection EACL 2023
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning ICML 2023