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Optimization

1638 directly classified papers

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Papers

Dynamic Data Selection for Neural Machine Translation EMNLP 2017
Follow the Moving Leader in Deep Learning ICML 2017
Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages INTERSPEECH 2017
Concept Equalization to Guide Correct Training of Neural Machine Translation IJCNLP 2017
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU ICML 2017
An experimental analysis of Noise-Contrastive Estimation: the noise distribution matters EACL 2017
Decoding with Finite-State Transducers on GPUs EACL 2017
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation CVPR 2017
Global Optimality in Neural Network Training CVPR 2017
DOPE: Distributed Optimization for Pairwise Energies CVPR 2017
DSAC - Differentiable RANSAC for Camera Localization CVPR 2017
Deeply Aggregated Alternating Minimization for Image Restoration CVPR 2017
Convex Global 3D Registration With Lagrangian Duality CVPR 2017
Single Image Reflection Suppression CVPR 2017
Improving Interpretability of Deep Neural Networks With Semantic Information CVPR 2017
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NIPS 2016
Optimal Black-Box Reductions Between Optimization Objectives NIPS 2016
Low-Rank Regression with Tensor Responses NIPS 2016
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques NIPS 2016
Fast Algorithms for Linear and Kernel SVM+ CVPR 2016
Gradient-Domain Image Reconstruction Framework With Intensity-Range and Base-Structure Constraints CVPR 2016
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition JMLR 2016
Online PCA with Optimal Regret JMLR 2016
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels JMLR 2016
Video-Story Composition via Plot Analysis CVPR 2016