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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

FerKD: Surgical Label Adaptation for Efficient Distillation ICCV 2023
Exploring multi-task learning and data augmentation in dementia detection with self-supervised pretrained models INTERSPEECH 2023
Data augmentation for children ASR and child-adult speaker classification using voice conversion methods INTERSPEECH 2023
On the robustness of wav2vec 2.0 based speaker recognition systems INTERSPEECH 2023
Visualizing Data Augmentation in Deep Speaker Recognition INTERSPEECH 2023
A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model INTERSPEECH 2023
Multi-VALUE: A Framework for Cross-Dialectal English NLP ACL 2023
Data Augmentation for Imbalanced Regression AISTATS 2023
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement ICCV 2023
An Empirical Study of Clinical Note Generation from Doctor-Patient Encounters EACL 2023
MixBag: Bag-Level Data Augmentation for Learning from Label Proportions ICCV 2023
The Risk and Opportunity of Data Augmentation and Translation for ESG News Impact Identification with Language Models IJCNLP 2023
Generative Oversampling for Imbalanced Data via Majority-Guided VAE AISTATS 2023
Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation IJCAI 2023
Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining EACL 2023
Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy ACL 2023
MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency ICCV 2023
Universal Adaptive Data Augmentation IJCAI 2023
Teaching What You Should Teach: A Data-Based Distillation Method IJCAI 2023
Part Aware Contrastive Learning for Self-Supervised Action Recognition IJCAI 2023
Context Consistency Regularization for Label Sparsity in Time Series ICML 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks ICML 2023
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning ICCV 2023
Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition ICCV 2023
Token-Label Alignment for Vision Transformers ICCV 2023