Attention Mechanism
Multi Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
... an attention mecha- nism to the basic encoder-decoder ...tention mechanism in the encoder-decoder network frees the network from having to map a sequence of arbitrary length to a single, fixed-dimensional ...
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Local Monotonic Attention Mechanism for End to End Speech And Language Processing
... global attention mechanism has often improved performance in some tasks, it is very computationally ...standard attention mechanism (Kim et ...
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A Novel Biologically Inspired Attention Mechanism for a Social Robot
... weighted normalized summation is employed to combine these features into a single saliency map. Depending on the current task to perform, different sets of weights are chosen. These task-dependent weights will be stored ...
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Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features
... In this paper, we proposed a 4-level hierarchical network and utilized attention mechanism to un- derstand satire at both paragraph level and doc- ument level. The evaluation suggests readability features ...
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Fine tune BERT with Sparse Self Attention Mechanism
... self-attention mechanism (SSAM) to induce spar- sity by replacing the traditional softmax func- tion with a sparse transformation in self-attention ...higher attention weights, and mean- while ...
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Negative Focus Detection via Contextual Attention Mechanism
... different attention mechanisms of our ap- proach, we also conduct several attention vari- ...of attention mechanisms (row 7-9 in Table 2), the topic-level attention based model achieves the ...
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Intelligent Virtual Security System using Attention Mechanism
... Within the past few years, organizational security has emerged as a critical challenge for industries, security agencies, academic institutions and organizations. The current security system lacks efficiency which ...
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Key value Attention Mechanism for Neural Machine Translation
... tention mechanism on the source-side en- coder. The key-value attention mechanism separates the source-side content vector into two types of memory known as the key and the ...the attention ...
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Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization
... needs attention and then decides which is the next appropriate occupation to attend to from the set of occupations (actor, di- rector, producer, ...bifocal attention mechanism which computes an ...
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Contrastive Attention Mechanism for Abstractive Sentence Summarization
... The “N × ” plates in Figure 1 stands for the stacked N identical layers. On the source side, each layer of the stacked N layers contains two sublayers: the self-attention mechanism, and the fully con- ...
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Self supervised Adversarial Hashing Cross modal Retrieval with Generative Models Based on Attention Mechanism
... with attention mechanism and adversarial network, to study the effective coding extraction of visual information features, establish the general representation of cross-modal data, and realize the accurate ...
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A Shared Attention Mechanism for Interpretation of Neural Automatic Post Editing Systems
... the attention weight matrices for a selection of cases from the test ...shared attention mech- anism shifts the attention weights between the to- kens of the src and mt inputs at each decoding ...
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Doubly Attentive Decoder for Multi modal Neural Machine Translation
... tion mechanism over the source-language words, an additional visual attention mechanism to incor- porate spatial visual features, and still improves on simpler text-only and multi-modal ...
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Iterative Recursive Attention Model for Interpretable Sequence Classification
... iterative attention mechanism (Sordoni et ...recursive attention model (IRAM), where the result of an attentive query is nonlinearly transformed and then added to the set of vector representations of ...
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Unsupervised Attention Embedding for Document Clustering
... The latter category defines a clustering loss and simulating classification error. Employing de-noising stacked auto-encoder learning approach, Xie et al [15] first pre-trained the model layer-wisely and then fine-tuned ...
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A Multi Hop Attention for RNN based Neural Machine Translation
... a mechanism to repeat up- dating the states for each word with parameters shared, it requires a larger number of parameters than ...multi-hop attention mechanism to the Transformer and reported that ...
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Deep Learning Applied To Arabic And Latin Scripts: A Review
... Attention based RNN networks have rarely been used for handwriting recognition. This framework consists of an encoder, attention mechanism and a decoder. The input image i[r] ...
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Monotonic Infinite Lookback Attention for Simultaneous Machine Translation
... (MILk) attention, an attention mechanism that uses a hard, monotonic head to manage the reading of the source, and a soft traditional head to attend over whatever has been ...
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AFS: An Attention-Based Mechanism for Supervised Feature Selection
... the attention mechanism, a recent proposed technique to focus on the most pertinent piece of information, rather than using all available information, has already gained much success in various machine ...
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A Review of Color Image Segmentation Based on Visual Attention
... visual attention, first of all, through the visual attention method to locating interested object, then use other methods for accurate ...visual attention mechanism to achieve the complex ...
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