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Found 10 papers, 3 papers with code
Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
In this work, we propose a evolutionary multi-objective (EMO) approach specifically tailored for prompt optimization called EMO-Prompts, using sentiment analysis as a case study.
Comparing Heuristics, Constraint Optimization, and Reinforcement Learning for an Industrial 2D Packing Problem
Cutting and Packing problems are occurring in different industries with a direct impact on the revenue of businesses.
Earnings Prediction with Deep Learning
In the financial sector, a reliable forecast the future financial performance of a company is of great importance for investors' investment decisions.
Evolutionary Multi-Objective Design of SARS-CoV-2 Protease Inhibitor Candidates
Computational drug design based on artificial intelligence is an emerging research area.
Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent
In deep multi-task learning, weights of task-specific networks are shared between tasks to improve performance on each single one.
Acute Lymphoblastic Leukemia Classification from Microscopic Images using Convolutional Neural Networks
Examining blood microscopic images for leukemia is necessary when expensive equipment for flow cytometry is unavailable.
Limited Evaluation Evolutionary Optimization of Large Neural Networks
Finally, we train a network with 92k parameters on MNIST using an EA and achieve 97. 6 % test accuracy compared to 98 % test accuracy on the same network trained with Adam.
Lamarckian Evolution of Convolutional Neural Networks
Convolutional neural networks belong to the most successul image classifiers, but the adaptation of their network architecture to a particular problem is computationally expensive.
Multi-label Classification of Surgical Tools with Convolutional Neural Networks
Automatic tool detection from surgical imagery has a multitude of useful applications, such as real-time computer assistance for the surgeon.
Evolution of Convolutional Highway Networks
Convolutional highways are deep networks based on multiple stacked convolutional layers for feature preprocessing.
