Data Augmentation
3,648 papers
Papers per year
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10
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35
46
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227
331
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122
'15
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'25
Papers
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth
NeurIPS 2024
Text Filtering Classifiers for Medium-Resource Languages
COLING 2024
Text Injection for Neural Contextual Biasing
Interspeech 2024
TextNeRF: A Novel Scene-Text Image Synthesis Method based on Neural Radiance Fields
CVPR 2024
ThangDLU at #SMM4H 2024: Encoder-decoder models for classifying text data on social disorders in children and adolescents
ACL 2024
The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators
NeurIPS 2024
The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct Representation
COLING 2024
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
NeurIPS 2024
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective
JMLR 2024
The Greek podcast corpus: Competitive speech models for low-resourced languages with weakly supervised data
Interspeech 2024
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
NeurIPS 2024
The Neglected Tails in Vision-Language Models
CVPR 2024
The PGNSC Benchmark: How Do We Predict Where Information Spreads?
ACL 2024
The Role of Data Curation in Image Captioning
EACL 2024
The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
ICLR 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
NeurIPS 2024
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
NeurIPS 2024
TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles
ACL 2024
Topic-Controllable Summarization: Topic-Aware Evaluation and Transformer Methods
COLING 2024
TopViewRS: Vision-Language Models as Top-View Spatial Reasoners
EMNLP 2024
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise
AAAI 2024
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation
NeurIPS 2024
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
NeurIPS 2024
Towards Cost-effective Multi-style Conversations: A Pilot Study in Task-oriented Dialogue Generation
COLING 2024
Towards Editing Time Series
NeurIPS 2024