Abstract: Test-time domain adaptation adjusts a source domain model to accommodate previously unseen domain shifts in a target domain during inference. In real-world scenarios, domain shifts ...
For the artificial intelligence (AI) engineering, 95% of the time and effort is consumed by data related workloads. In order to tackle this challenge, tech giants spend thousands of hours on building ...
Abstract: Real-world multiobjective optimization problems (MOPs) usually have conflicting and differently scaled objectives. To deal with such problems, objective space normalization is widely used in ...