conftrace_
← Application Areas
Machine Learning › Application Areas ›

Data Augmentation

3,622 papers

Papers per year

Papers

Compositional Feature Augmentation for Unbiased Scene Graph Generation ICCV 2023
RPG-Palm: Realistic Pseudo-data Generation for Palmprint Recognition ICCV 2023
Story Visualization by Online Text Augmentation with Context Memory ICCV 2023
SILT: Shadow-Aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels ICCV 2023
DRAW: Defending Camera-shooted RAW Against Image Manipulation ICCV 2023
SMMix: Self-Motivated Image Mixing for Vision Transformers ICCV 2023
Boosting Multi-modal Model Performance with Adaptive Gradient Modulation ICCV 2023
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement ICCV 2023
Robust Heterogeneous Federated Learning under Data Corruption ICCV 2023
Machine Learning Force Fields with Data Cost Aware Training ICML 2023
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup ICML 2023
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation ICML 2023
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory ICML 2023
Towards Understanding and Reducing Graph Structural Noise for GNNs ICML 2023
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift ICML 2023
Integrating Prior Knowledge in Contrastive Learning with Kernel ICML 2023
General Covariance Data Augmentation for Neural PDE Solvers ICML 2023
Out-of-Domain Robustness via Targeted Augmentations ICML 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks ICML 2023
Automatic Data Augmentation via Invariance-Constrained Learning ICML 2023
Curious Replay for Model-based Adaptation ICML 2023
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation ICML 2023
Exploring Chemical Space with Score-based Out-of-distribution Generation ICML 2023
Graph Mixup with Soft Alignments ICML 2023
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning ICML 2023