Easy Instance

"Easy instance" identification in various computational problems focuses on efficiently separating readily solvable instances from more challenging ones. Research explores methods to identify these easy instances using techniques like algorithm selection guided by machine learning, attention mechanisms within multiple instance learning frameworks, and tailored representations for AlphaZero-inspired solvers. This research aims to improve the efficiency of complex algorithms by focusing computational resources on difficult instances, leading to faster and more effective solutions in diverse fields such as algorithm selection, image classification, and optimization problems.