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🎯🖼️🌟 New Research Alert - ICLR 2024! 🌟 🖼️🎯
🎯🖼️🌟 New Research Alert - ICLR 2024! 🌟 🖼️🎯
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📄 Title: Adversarial AutoMixup 🖼️
📄 Title: Adversarial AutoMixup 🖼️
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📝 Description: Adversarial AutoMixup is an approach to image classification augmentation. By alternately optimizing a classifier and a mixed-sample generator, it attempts to generate challenging samples and improve the robustness of the classifier against overfitting.
📝 Description: Adversarial AutoMixup is an approach to image classification augmentation. By alternately optimizing a classifier and a mixed-sample generator, it attempts to generate challenging samples and improve the robustness of the classifier against overfitting.
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👥 Authors: Huafeng Qin et al.
👥 Authors: Huafeng Qin et al.
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📅 Conference: ICLR, May 7-11, 2024 | Vienna, Austria 🇦🇹
📅 Conference: ICLR, May 7-11, 2024 | Vienna, Austria 🇦🇹
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🔗 Paper: 
🔗 Paper: 
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https://huggingface.co/papers/2312.11954
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2312.11954
https://huggingface.co/papers/2312.11954
Adversarial AutoMixup (2312.11954)
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📁 Repository: 
📁 Repository: 
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https://github.com/JinXins/Adversarial-AutoMixup
https://github.com/JinXins/Adversarial-AutoMixup
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📚 More Papers: more cutting-edge research presented at other conferences in the 
📚 More Papers: more cutting-edge research presented at other conferences in the 
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https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers
space
DmitryRyumin/NewEraAI-Papers
https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers
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 curated by 
 curated by 
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@DmitryRyumin
DmitryRyumin
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🔍 Keywords: #AutoMixup #ImageClassification #ImageAugmentation #AdversarialLearning #ICLR2024 #DeepLearning #Innovation
🔍 Keywords: #AutoMixup #ImageClassification #ImageAugmentation #AdversarialLearning #ICLR2024 #DeepLearning #Innovation
🎯🖼️🌟 New Research Alert - ICLR 2024! 🌟 🖼️🎯
📄 Title: Adversarial AutoMixup 🖼️

📝 Description: Adversarial AutoMixup is an approach to image classification augmentation. By alternately optimizing a classifier and a mixed-sample generator, it attempts to generate challenging samples and improve the robustness of the classifier against overfitting.

👥 Authors: Huafeng Qin et al.

📅 Conference: ICLR, May 7-11, 2024 | Vienna, Austria 🇦🇹

🔗 Paper: https://huggingface.co/papers/2312.11954

📁 Repository: https://github.com/JinXins/Adversarial-AutoMixup

📚 More Papers: more cutting-edge research presented at other conferences in the https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin

🔍 Keywords: #AutoMixup #ImageClassification #ImageAugmentation #AdversarialLearning #ICLR2024 #DeepLearning #Innovation
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