model optimization

Bag of Tricks for Optimizing Transformer Efficiency EMNLP 2021 Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization AAAI 2021 Gender bias amplification during Speed-Quality optimization in Neural Machine Translation ACL 2021 GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training ICML 2021 THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation AAAI 2021 ILFO: Adversarial Attack on Adaptive Neural Networks CVPR 2020 Inefficiency of K-FAC for Large Batch Size Training AAAI 2020 Optimizing Transformer for Low-Resource Neural Machine Translation COLING 2020 Rethinking Skip Connection with Layer Normalization COLING 2020 Continual and Multi-Task Architecture Search ACL 2019 Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition EMNLP 2019 Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing AAAI 2019 SSN: Learning Sparse Switchable Normalization via SparsestMax CVPR 2019 Visual Tracking via Adaptive Spatially-Regularized Correlation Filters CVPR 2019 A Bridging Framework for Model Optimization and Deep Propagation NeurIPS 2018 Human-in-the-Loop Interpretability Prior NeurIPS 2018 Marian: Cost-effective High-Quality Neural Machine Translation in C++ ACL 2018 PolyNet: A Pursuit of Structural Diversity in Very Deep Networks CVPR 2017 Unsatisfiable Core Shrinking for Anytime Answer Set Optimization IJCAI 2017 Efficient Training of Very Deep Neural Networks for Supervised Hashing CVPR 2016 Convolutional Neural Networks at Constrained Time Cost CVPR 2015 Fast SVM Training Using Approximate Extreme Points JMLR 2014 Optimization on a Budget: A Reinforcement Learning Approach NeurIPS 2008 Anytime Learning of Decision Trees JMLR 2007