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data augmentation

3052 papers

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DA

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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

AlignMixup: Improving Representations by Interpolating Aligned Features CVPR 2022
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering CVPR 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification NIPS 2022
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks NIPS 2022
MEMO: Test Time Robustness via Adaptation and Augmentation NIPS 2022
Spectral Bias in Practice: The Role of Function Frequency in Generalization NIPS 2022
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers NIPS 2022
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome NIPS 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach NIPS 2022
SageMix: Saliency-Guided Mixup for Point Clouds NIPS 2022
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? NIPS 2022
Deep invariant networks with differentiable augmentation layers NIPS 2022
FeLMi : Few shot Learning with hard Mixup NIPS 2022
Open High-Resolution Satellite Imagery: The WorldStrat Dataset – With Application to Super-Resolution NIPS 2022
Data-Efficient Augmentation for Training Neural Networks NIPS 2022
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data NIPS 2022
DART: Articulated Hand Model with Diverse Accessories and Rich Textures NIPS 2022
TorchXRayVision: A library of chest X-ray datasets and models MIDL 2022
CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling MIDL 2022
VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction MIDL 2022
Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies MIDL 2022
Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data MIDL 2022
Learning Strategies for Contrast-agnostic Segmentation via SynthSeg for Infant MRI data MIDL 2022
MALM: Mixing Augmented Language Modeling for Zero-Shot Machine Translation AACL 2022
Domain Specific Augmentations as Low Cost Teachers for Large Students AACL 2022