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NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications Robert Tjarko Lange
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Recently, the Deep Learning community has become interested in evolutionary optimization (EO) as a means to address hard optimization problems, e.g.
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Symbolic Regression with a Learned Concept Library
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SR, uses zero-shot queries to a large language model (LLM) to discover and evolve abstract concepts occurring in known high-performing hypotheses.
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Distributed Stochastic Optimization via Adaptive SGD
Ashok Cutkosky, Róbert Busa-Fekete
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Neural Information Processing Systems http://nips.cc/
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Curvilinear Distance Metric Learning
Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang
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Neural Information Processing Systems http://nips.cc/
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