Competition Platform
Competition platforms are systems designed to evaluate algorithms and models by pitting them against each other or against challenging tasks, fostering innovation and benchmarking progress. Current research focuses on developing robust evaluation methodologies, exploring the interplay of cooperation and competition within multi-agent systems, and adapting model architectures like large language models and deep reinforcement learning agents to thrive in competitive environments. These platforms are crucial for advancing various fields, from artificial intelligence and machine learning to robotics and even social sciences, by providing standardized benchmarks and driving the development of more efficient and effective algorithms.
Papers
ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents
Christoph Auer, Ahmed Nassar, Maksym Lysak, Michele Dolfi, Nikolaos Livathinos, Peter Staar
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup
Junyoung Byun, Myung-Joon Kwon, Seungju Cho, Yoonji Kim, Changick Kim