Tag: data augmentation
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Face Density and Data Complexity: Measuring Instance Hardness
Explore how face density impacts data complexity and model performance, revealing new strategies for training robust machine learning models.
Enhancing Language Model Reliability in Instruction-Following
Explore how nuance-oriented reliability impacts language model performance and learn about new metrics and tools to improve instruction-following accuracy.
Data Augmentation Impact on Hausa & Fongbe NLP Tasks
Explore how LLM and back-translation data augmentation affect NLP tasks like NER and POS tagging in low-resource Hausa and Fongbe languages.
NTIRE 2026 Cross-Domain Few-Shot Object Detection Results
Explore top methods and results from the NTIRE 2026 challenge on cross-domain few-shot object detection with limited data and domain shifts.
Unbiased Fix for Fake Orders in Sequential Recommenders
Discover DITaR, a method to rectify fake orders in sequential recommender systems, boosting accuracy, efficiency, and robustness without retraining.