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Found 4 papers, 0 papers with code
Clustering-based Domain-Incremental Learning
A key challenge in this setting is the so-called "catastrophic forgetting problem", in which the performance of the learner in an "old task" decreases when subsequently trained on a "new task".
The Vision of Self-Evolving Computing Systems
We motivate the need for self-evolving computing systems in light of the state of the art, outline a conceptual architecture of self-evolving computing systems, and illustrate the architecture for a future smart city mobility system that needs to evolve continuously with changing conditions.
The Unreasonable Effectiveness of the Final Batch Normalization Layer
Early-stage disease indications are rarely recorded in real-world domains, such as Agriculture and Healthcare, and yet, their accurate identification is critical in that point of time.
Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization
A preference based multi-objective evolutionary algorithm is proposed for generating solutions in an automatically detected knee point region.
