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Found 2 papers, 1 papers with code
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement
One of the main motivations of MTL is to develop neural networks capable of inferring multiple tasks simultaneously.
DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection
In the realm of visual content synthesis using generative AI, key areas of significant concern has been image forgery (e. g., generation of images containing or derived from copyright content), and data poisoning (i. e., generation of adversarially contaminated images).
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