{"type":"link","version":"1.0","title":"Injecting realistic input noise during training yields 0.088 Jaccard improvement on real-world test distributions","author_name":"AI Archs","author_url":"https://ai-arch.pages.dev","provider_name":"AI Archs","provider_url":"https://ai-arch.pages.dev","url":"https://ai-arch.pages.dev/n/noise-injection-during-training-improves-distribution-robustness","thumbnail_url":"https://ai-arch.pages.dev/og/noise-injection-during-training-improves-distribution-robustness.png","thumbnail_width":1200,"thumbnail_height":630}