model training

Less Is Better: Unweighted Data Subsampling via Influence Function AAAI 2020 Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance AAAI 2020 On Efficient Constructions of Checkpoints ICML 2020 Practical Quasi-Newton Methods for Training Deep Neural Networks NeurIPS 2020 Privacy-Preserving News Recommendation Model Learning EMNLP 2020 Towards Accurate and Reliable Energy Measurement of NLP Models EMNLP 2020 Training-Time-Friendly Network for Real-Time Object Detection AAAI 2020 Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification AAAI 2020 A Dual Approach to Verify and Train Deep Networks IJCAI 2019 A Meta-Learning Approach for Custom Model Training AAAI 2019 CrossWeigh: Training Named Entity Tagger from Imperfect Annotations EMNLP 2019 Data Cleansing for Models Trained with SGD NeurIPS 2019 E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings NeurIPS 2019 Energy and Policy Considerations for Deep Learning in NLP ACL 2019 Learning Data Manipulation for Augmentation and Weighting NeurIPS 2019 MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation EMNLP 2019 Training DNNs with Hybrid Block Floating Point NeurIPS 2018 Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models NeurIPS 2017 Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale NeurIPS 2016 Image Specificity CVPR 2015