Context-Aware Neural Machine Translation Decoding.doi:10.18653/V1/D19-6502Eva Martínez GarciaCarles CreusCristina Espaa-BonetAssociation for Computational LinguisticsEmpirical Methods in Natural Language Processing
Despite being released nine years ago, the phone supports both hardware and software video decoding and, importantly, has a detachable battery that allows us to connect the phone to a high-frequency power meter. The VLC Player was chosen for the energy measurements due to its flexibility in ...
对于task loss的计算,则从concatenated features \mathbf{x}'_4=[\mathbf{x}_4, \mathbf{s}] \in \mathbb{R}^{H_4W_4\times {C+K}} 中decoding再计算。 (2)Context-Aware Prompting CoOp可以理解为Language-domain prompting,因为CoOp中learnable context仅仅是一个可学的向量,没有包含视觉信息;而Dense...
Preview: GenAI API supports multimodal AI deployment, including multimodal pipelines, transcription pipelines, and image generation pipelines. GenAI API adds speculative decoding, using a small draft model to periodically correct the full model, improving performance and text generation efficiency. Preview: ...
Other IUs, either appearing in the middle or at the end of a sentence, are translated by the context-aware decoding module. This module is able to exploit additional context from the history so that the model can generate coherent translation. ...
HPD is composed of a passage-aware decoder and a three-way copy mechanism to determine how much passage-level information is needed during decoding and copy rare words from the answer-specific sentence or the passage. Extensive experimental results andcase studiesdemonstrate that the hierarchical answ...
Reflective Decoding Network for Image Captioning论文阅读 基于注意力的循环模块 ARM中在结构上包括第一层LSTM和视觉注意层Attvis,第一层LSTM的输入有三部分,所有子区域视觉特征的均值、t-1时刻第二层LSTM的隐藏层状态、真实数据对应单词的嵌入向量(嵌入矩阵*单词的one-hot表示)。第一层LSTM的迭代公式: 视觉注意层...
mmseg/models/decode_heads/hrda_head.py: Implementation of the HRDA decoding with multi-resolution fusion and scale attention. mmseg/models/uda/dacs.py: Implementation of the DAFormer self-training. Acknowledgements HRDA is based on the following open-source projects. We thank their authors for maki...
First, the keyword-specific HMM Viterbi decoding process needed to obtain the confidence scores of each spotted word involves a large computational cost. Second, in its traditional conception, the model does not take into account any context information - and more recent works where simple character...
The consecutive pooling operations cause the loss of more spatial information during encoding, which is not conducive to the restoration of features in the decoding process. Second, when restoring the spatial information of feature maps in the decoder, a skip connection only connects a pair of ...