parameter optimization

Leveraging Filter Correlations for Deep Model Compression WACV 2020 Optimization and Evaluation of an Intelligibility-Improving Signal Processing Approach (IISPA) for the Hurricane Challenge 2.0 with FADE Interspeech 2020 Parameter Optimization for Learning-based Control of Control-Affine Systems L4DC 2020 SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking CVPR 2020 A Bayesian Optimization Framework for Neural Network Compression ICCV 2019 Classification of Semantic Paraphasias: Optimization of a Word Embedding Model NAACL 2019 Learning Compact Model for Large-Scale Multi-Label Data AAAI 2019 Learning To Simulate ICLR 2019 Analyzing Filters Toward Efficient ConvNet CVPR 2018 Decoupling Gradient-Like Learning Rules from Representations ICML 2018 Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation CoRL 2017 Towards Neural Machine Translation with Partially Aligned Corpora IJCNLP 2017 Bayesian Optimization for Probabilistic Programs NeurIPS 2016 A Convergence Analysis of Log-Linear Training NeurIPS 2011 Parameter Screening and Optimisation for ILP using Designed Experiments JMLR 2011 Asymptotically Optimal Regularization in Smooth Parametric Models NeurIPS 2009 Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NeurIPS 2006 Uniform Object Generation for Optimizing One-class Classifiers JMLR 2001