hyperparameter optimization

Carburacy: Summarization Models Tuning and Comparison in Eco-Sustainable Regimes with a Novel Carbon-Aware Accuracy AAAI 2023 Code-Aware Cross-Program Transfer Hyperparameter Optimization AAAI 2023 Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference AutoML 2023 c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization IJCAI 2023 Curtin OCAI at WASSA 2023 Empathy, Emotion and Personality Shared Task: Demographic-Aware Prediction Using Multiple Transformers ACL 2023 Deep Ranking Ensembles for Hyperparameter Optimization ICLR 2023 DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization NeurIPS 2023 EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems AAAI 2023 Efficient Activation Function Optimization through Surrogate Modeling NeurIPS 2023 Efficient Gradient Approximation Method for Constrained Bilevel Optimization AAAI 2023 Efficient Hyper-parameter Optimization with Cubic Regularization NeurIPS 2023 Exploring the Impact of Model Scaling on Parameter-Efficient Tuning EMNLP 2023 FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization ICML 2023 FLASH: Automating federated learning using CASH UAI 2023 GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection NeurIPS 2023 Gray-Box Gaussian Processes for Automated Reinforcement Learning ICLR 2023 HyperJump: Accelerating HyperBand via Risk Modelling AAAI 2023 Hyperparameter Optimization through Neural Network Partitioning ICLR 2023 Hyperparameters in Reinforcement Learning and How To Tune Them ICML 2023 I2C-Huelva at SemEval-2023 Task 10: Ensembling Transformers Models for the Detection of Online Sexism SemEval 2023 Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models ICML 2023 Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures NeurIPS 2023 Learning Activation Functions for Sparse Neural Networks AutoML 2023 Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks JMLR 2023 Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization CVPR 2023