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

Domain Generalization by Rejecting Extreme Augmentations WACV 2024 Domain Generalization with Vital Phase Augmentation AAAI 2024 Don't Judge by the Look: Towards Motion Coherent Video Representation ICLR 2024 DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks NeurIPS 2024 Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection AAAI 2024 Duration Dynamics: Fin-Turbo’s Rapid Route to ESG Impact Insight COLING 2024 EDDA: An Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection COLING 2024 Effective Data Augmentation With Diffusion Models ICLR 2024 Effects of Markers in Training Datasets on the Accuracy of 6D Pose Estimation WACV 2024 Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously NeurIPS 2024 E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator CVPR 2024 Emergent Equivariance in Deep Ensembles ICML 2024 Empowering Large Language Models for Textual Data Augmentation ACL 2024 Empowering Low-Resource Regional Languages with Lexicons : A Comparative Study of NLP Tools for Morphosyntactic Analysis COLING 2024 Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model CVPR 2024 Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning ACML 2024 Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation ICLR 2024 Enhancing Cross-Lingual Emotion Detection with Data Augmentation and Token-Label Mapping ACL 2024 Enhancing Cross Text-Molecule Learning by Self-Augmentation ACL 2024 Enhancing Dialogue State Tracking Models through LLM-backed User-Agents Simulation ACL 2024 Enhancing Diverse Intra-Identity Representation for Visible-Infrared Person Re-Identification WACV 2024 Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation COLING 2024 Enhancing Legal Violation Identification with LLMs and Deep Learning Techniques: Achievements in the LegalLens 2024 Competition EMNLP 2024 Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting ICLR 2024 Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NeurIPS 2024