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Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks, , , и . (2019)cite arxiv:1903.00954.Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019, , , , , , , , , и 15 other автор(ы). IEEE Transactions on Pattern Analysis and Machine Intelligence, (2021)To appear.UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands., , , , , , , , и . IEEE Robotics Autom. Lett., 5 (2): 2286-2293 (2020)Detecting code smells in React-based Web apps., и . Inf. Softw. Technol., (2023)On the (un-)adoption of JavaScript front-end frameworks., , и . Softw. Pract. Exp., 52 (4): 947-966 (2022)Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How., , , , и . CoRR, (2023)Impact of the COVID-19 Pandemic on Adherence to Exercise Prescription: The case of Cardiac Rehabilitation Programs., , , , и . MIPRO, стр. 374-377. IEEE, (2022)Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification., , , , , , , , , и 2 other автор(ы). CoRR, (2022)Real-time Evaluation System for Top Taekwondo Athletes: Project Overview., , , , , и . BIODEVICES, стр. 209-216. SCITEPRESS, (2021)Turnover in Open-Source Projects: The Case of Core Developers., , и . SBES, стр. 447-456. ACM, (2020)