Encoder-Decoder

مرمِّز-فاكّ ترميز

بنية شبكة عصبية من جزأين: المرمِّز يعالج المدخل إلى تمثيل داخلي، وفاكّ الترميز يُولّد المخرج من ذلك التمثيل.

A neural network architecture with two parts — the encoder processes input into a representation, and the decoder generates output from that representation.

Also translated asالمعالج الثنائي (المشفر والمولد)، بنية المرمِّز وفاكّ الترميز، نظام الصياغة والتوليد

First appears in this corpus in: Representation Learning: A Review and New Perspectives (2013)

Appears in these papers

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware2023 in the sky ✦
Atlas: Few-shot Learning with Retrieval Augmented Language Models2023 in the sky ✦
Neural Machine Translation by Jointly Learning to Align and Translate2014 in the sky ✦
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting2021 in the sky ✦
BART: Denoising Sequence-to-Sequence Pre-Training for Natural Language Generation, Translation, and Comprehension2019 in the sky ✦
BART: Denoising Sequence-to-Sequence Pre-Training for Natural Language Generation, Translation, and Comprehension2019 in the sky ✦
BLIP-2: Bootstrapping Language-Image Pre-Training with Frozen Image Encoders and Large Language Models2023 in the sky ✦
Neural Machine Translation of Rare Words with Subword Units2016 in the sky ✦
Denoising Diffusion Probabilistic Models2020 in the sky ✦
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks2020 in the sky ✦
End-to-End Object Detection with Transformers2020 in the sky ✦
Fully Convolutional Networks for Semantic Segmentation2015 in the sky ✦
Fusion-in-Decoder: Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering2021 in the sky ✦
Google's Neural Machine Translation System: Bridging the Gap Between Human and Machine Translation2016 in the sky ✦
Google's Neural Machine Translation System: Bridging the Gap Between Human and Machine Translation2016 in the sky ✦
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection2023 in the sky ✦
Informer: Beyond Efficient Transformer for Long Sequence Time Series Forecasting2021 in the sky ✦
Informer: Beyond Efficient Transformer for Long Sequence Time Series Forecasting2021 in the sky ✦
MusicLM: Generating Music From Text2023 in the sky ✦
Representation Learning: A Review and New Perspectives2013 in the sky ✦
RETRO: Improving Language Models by Retrieving from Trillions of Tokens2022 in the sky ✦
Learning Phrase Representations Using RNN Encoder-Decoder for Statistical Machine Translation2014 in the sky ✦
Learning Phrase Representations Using RNN Encoder-Decoder for Statistical Machine Translation2014 in the sky ✦
Recurrent Neural Networks (RNNs): A Gentle Introduction and Overview2019 in the sky ✦
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control2023 in the sky ✦
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers2021 in the sky ✦
Sequence to Sequence Learning with Neural Networks2014 in the sky ✦
Show and Tell: A Neural Image Caption Generator2015 in the sky ✦
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention2015 in the sky ✦
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention2015 in the sky ✦
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer2019 in the sky ✦
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer2019 in the sky ✦
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions2018 in the sky ✦
U-Net: Convolutional Networks for Biomedical Image Segmentation2015 in the sky ✦
U-Net: Convolutional Networks for Biomedical Image Segmentation2015 in the sky ✦
Robust Speech Recognition via Large-Scale Weak Supervision2022 in the sky ✦