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Optimization

14,969 papers

Papers per year

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Papers

Bridging the Gap between Training and Inference for Neural Machine Translation ACL 2019
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity ACL 2019
AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text ACL 2019
Improving Textual Network Embedding with Global Attention via Optimal Transport ACL 2019
Improving Open Information Extraction via Iterative Rank-Aware Learning ACL 2019
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation ACL 2019
Interpolated Spectral NGram Language Models ACL 2019
Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units ACL 2019
Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning ACL 2019
Argumentative Evidences Classification and Argument Scheme Detection Using Tree Kernels ACL 2019
Ranking Passages for Argument Convincingness ACL 2019
Effective Dimensionality Reduction for Word Embeddings ACL 2019
Learning Word Embeddings without Context Vectors ACL 2019
PROMT Systems for WMT 2019 Shared Translation Task ACL 2019
Dual Monolingual Cross-Entropy Delta Filtering of Noisy Parallel Data ACL 2019
Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders ACML 2019
Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening ACML 2019
Canonical Soft Time Warping ACML 2019
Regularizing Neural Networks via Stochastic Branch Layers ACML 2019
Forward-Backward Generative Adversarial Networks for Anomaly Detection ACML 2019
Proximal Splitting Meets Variance Reduction AISTATS 2019
Efficient Linear Bandits through Matrix Sketching AISTATS 2019
Orthogonal Estimation of Wasserstein Distances AISTATS 2019
Greedy and IHT Algorithms for Non-convex Optimization with Monotone Costs of Non-zeros AISTATS 2019
Block Stability for MAP Inference AISTATS 2019