performance prediction

Network Pruning via Performance Maximization CVPR 2021 Neural Architecture Search without Training ICML 2021 On the Use of ML for Blackbox System Performance Prediction NSDI 2021 RankNAS: Efficient Neural Architecture Search by Pairwise Ranking EMNLP 2021 ReNAS: Relativistic Evaluation of Neural Architecture Search CVPR 2021 TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework NeurIPS 2021 Towards More Fine-grained and Reliable NLP Performance Prediction EACL 2021 A Semi-Supervised Assessor of Neural Architectures CVPR 2020 BRP-NAS: Prediction-based NAS using GCNs NeurIPS 2020 Dissecting Span Identification Tasks with Performance Prediction EMNLP 2020 FIRM: An Intelligent Fine-grained Resource Management Framework for SLO-Oriented Microservices OSDI 2020 HyperSTAR: Task-Aware Hyperparameters for Deep Networks CVPR 2020 LinnOS: Predictability on Unpredictable Flash Storage with a Light Neural Network OSDI 2020 Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract) AAAI 2020 An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search AAAI 2019 RTM Stacking Results for Machine Translation Performance Prediction ACL 2019 To Annotate or Not? Predicting Performance Drop under Domain Shift EMNLP 2019 Analyzing Learned Representations of a Deep ASR Performance Prediction Model EMNLP 2018 Automatic Estimation of Simultaneous Interpreter Performance ACL 2018 Meta-Level Control of Anytime Algorithms with Online Performance Prediction IJCAI 2018 Predicting accuracy on large datasets from smaller pilot data ACL 2018 Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression NeurIPS 2010 Learning to Construct Fast Signal Processing Implementations JMLR 2002