conftrace_

data augmentation

3052 papers

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Also known as

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

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

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration ICCV 2023

Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification ICCV 2023

Pre-training Vision Transformers with Very Limited Synthesized Images ICCV 2023

The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data ICCV 2023

Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study ICCV 2023

Adversarial Bayesian Augmentation for Single-Source Domain Generalization ICCV 2023

Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction EMNLP 2023

Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning ICCV 2023

HULAT at SemEval-2023 Task 10: Data Augmentation for Pre-trained Transformers Applied to the Detection of Sexism in Social Media SEMEVAL 2023

When to Learn What: Model-Adaptive Data Augmentation Curriculum ICCV 2023