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Empirical Investigation of Optimization Algorithms in Neural Machine Translation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/icassp.2017.7952599openalex-snapshot
A comprehensive study of deep bidirectional LSTM RNNS for acoustic modeling in speech recognition
inferredcites →https://doi.org/10.1184/r1/6473090openalex-snapshot
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
inferredcites →https://doi.org/10.1214/aoms/1177729586openalex-snapshot
A Stochastic Approximation Method
inferredcites →https://doi.org/10.18653/v1/w15-3014openalex-snapshot
Montreal Neural Machine Translation Systems for WMT’15
inferredcites →https://doi.org/10.18653/v1/w16-2316openalex-snapshot
The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMT
inferredcites →https://doi.org/10.3115/v1/w14-4012openalex-snapshot
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
inferredcites →https://doi.org/10.48550/arxiv.1211.5590openalex-snapshot
Theano: new features and speed improvements
inferredcites →https://doi.org/10.48550/arxiv.1212.5701openalex-snapshot
ADADELTA: An Adaptive Learning Rate Method
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1409.3215openalex-snapshot
Sequence to Sequence Learning with Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1506.00619openalex-snapshot
Blocks and Fuel: Frameworks for deep learning
inferredcites →https://doi.org/10.48550/arxiv.1609.04747openalex-snapshot
An overview of gradient descent optimization algorithms
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.3833584openalex-extracted
A Study of the Mathematics of Deep Learning
inferred← citeshttps://doi.org/10.1007/s10489-020-01892-0openalex-snapshot
LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence
inferred← citeshttps://doi.org/10.1016/j.matcom.2022.03.013openalex-snapshot
Application of Monte Carlo stochastic optimization (MOST) to deep learning
inferred← citeshttps://doi.org/10.1109/iccubea58933.2023.10392049openalex-snapshot
TaaS: Translation as a Service (Transformer Based Translator)
inferred← citeshttps://doi.org/10.1109/sami58000.2023.10044484openalex-snapshot
Comparison of neural architectures for machine translation of the Slovak language using the Fairseq toolkit
inferred← citeshttps://doi.org/10.11591/ijai.v13.i1.pp563-571openalex-snapshot
Performance analysis of optimization algorithms for convolutional neural network-based handwritten digit recognition
inferred← citeshttps://doi.org/10.1162/tacl_a_00322openalex-snapshot
Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems
inferred← citeshttps://doi.org/10.13140/rg.2.2.28333.95201openalex-snapshot
A novel adaptive learning rate scheduler for deep neural networks
inferred← citeshttps://doi.org/10.18653/v1/2022.blackboxnlp-1.5openalex-snapshot
Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines
inferred← citeshttps://doi.org/10.18653/v1/n18-1136openalex-snapshot
Identifying Semantic Divergences in Parallel Text without Annotations
inferred← citeshttps://doi.org/10.18653/v1/p18-1118openalex-snapshot
Document Context Neural Machine Translation with Memory Networks
inferred← citeshttps://doi.org/10.18653/v1/w17-4723openalex-snapshot
FBK’s Participation to the English-to-German News Translation Task of WMT 2017
inferred← citeshttps://doi.org/10.18653/v1/w17-4735openalex-snapshot
The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4208408/v1openalex-snapshot
Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks
inferred← citeshttps://doi.org/10.2991/icmmct-18.2018.13openalex-snapshot
Applications Research of Machine Learning Algorithm in Translation System
inferred← citeshttps://doi.org/10.37896/ymer20.11/15openalex-snapshot
OPTIMIZED DEEP NEURAL NETWORKS ARCHITECTURE MODEL FOR BREAST CANCER DIAGNOSIS
inferred← citeshttps://doi.org/10.48550/arxiv.1805.02094openalex-snapshot
Exploring Hyper-Parameter Optimization for Neural Machine Translation on GPU Architectures
inferred← citeshttps://doi.org/10.48550/arxiv.1805.04185openalex-snapshot
Deep Neural Machine Translation with Weakly-Recurrent Units
inferred← citeshttps://doi.org/10.48550/arxiv.1807.06766openalex-snapshot
Convergence guarantees for RMSProp and ADAM in non-convex optimization and an empirical comparison to Nesterov acceleration
inferred← citeshttps://doi.org/10.48550/arxiv.1809.02223openalex-snapshot
Character-Aware Decoder for Translation into Morphologically Rich Languages
inferred← citeshttps://doi.org/10.48550/arxiv.1905.02957openalex-snapshot
SAdam: A Variant of Adam for Strongly Convex Functions
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