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Data Augmentation

3,622 papers

Papers per year

Papers

Learning Instance-Specific Augmentations by Capturing Local Invariances ICML 2023
Input Perturbation Reduces Exposure Bias in Diffusion Models ICML 2023
Provable Benefit of Mixup for Finding Optimal Decision Boundaries ICML 2023
When does Privileged information Explain Away Label Noise? ICML 2023
TRAK: Attributing Model Behavior at Scale ICML 2023
Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows ICML 2023
Feature Programming for Multivariate Time Series Prediction ICML 2023
Regularization-free Diffeomorphic Temporal Alignment Nets ICML 2023
Context Consistency Regularization for Label Sparsity in Time Series ICML 2023
Synthetic data for model selection ICML 2023
Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations ICML 2023
Target-Aware Generative Augmentations for Single-Shot Adaptation ICML 2023
Towards Controlled Data Augmentations for Active Learning ICML 2023
OpenFE: Automated Feature Generation with Expert-level Performance ICML 2023
X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion ICML 2023
Transformed Distribution Matching for Missing Value Imputation ICML 2023
Evidential Interactive Learning for Medical Image Captioning ICML 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023
The Benefits of Mixup for Feature Learning ICML 2023
Improve Video Representation with Temporal Adversarial Augmentation IJCAI 2023
Universal Adaptive Data Augmentation IJCAI 2023
Vision Language Navigation with Knowledge-driven Environmental Dreamer IJCAI 2023
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels IJCAI 2023
CTW: Confident Time-Warping for Time-Series Label-Noise Learning IJCAI 2023
Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels IJCAI 2023