Source Code Generation Based On User Intention Using LSTM Networks natural-language-processingdeep-learningprogram-synthesiscode-generationencoder-decoder-modellong-short-term-memoryautomatic-programmingsequential-models UpdatedJan 6, 2018 Python HTSM Masterwork ...
The rise of decoder-only Transformer models written byShraddha Goled Apart from the various interesting features of this model, one feature that catches the attention is its decoder-only architecture. In fact, not just PaLM, some of the most popular and widely used language models are decoder-...
Jointly Learning to Align and Convert Graphemes to Phonemes with Neural Attention Models We propose an attention-enabled encoder-decoder model for the problem of grapheme-to-phoneme conversion. Most previous work has tackled the problem via joi... S Toshniwal,K Livescu - Spoken Language Technol...
Image caption generation is an essential task in computer vision and image understanding.Contemporary image caption generation models usually use the encoder-decoder model as the underlying network structure.However,in the traditional Encoder-Decoder architectures,only the global features of the images are...
机器翻译:Sequence to Sequence Learning with Neural Networks 2014 语音识别:A Comparison of Sequence-to-Sequence Models for Speech Recognition 2017 图像描述生成:Sequence to Sequence – Video to Text 2015 Attention Encoder-Decoder 缺点就是压缩到了固定的长度,当输入信息太长时,会丢失掉一些信息。
accuracyof93.4%,whichisbetterthanseveralexistingnetworkmodels.Inthesegmentation task,thispaperevaluatedtheperformanceofthePCRTnetworkontheShapeNetandS3DIS datasetsandcompareditwithexistingpointcloud-baseddeeplearningmodels.Theexperimen- talresultsrevealedthatthePCRTnetworkcanachievemeanintersectionoverunionof86.3% onthe...
Can I create a predicate based on the properties of child class objects? I have two classes: Activity and Action. Activity is the parent class, Action are the child, this is a one to many relationship. In setting up a NSFetchedResultsController I would like to set a predic... ...
Typically, in the space of model behaviors, behavior deletion requests are addressed through model retrainings whereas model finetuning is done to address behavior addition requests, both procedures being instances of data-based model intervention. In this work, we present a preliminary study ...
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch machine-learningdeep-neural-networkstranslationdeep-learningmachine-translationpytorchtransformerseq2seqneural-machine-translationsequence-to-sequenceattention-mechanismencoder-decoderattention-modelsequence-to-sequence-modelsatte...
An important feature of RNN-based encoder-decoder models is the definition ofspecialvectors, such as theEOSEOSandBOSBOSvector. TheEOSEOSvector often represents the final input vectorxnxnto "cue" the encoder that the input sequence has ended and also defines the end of the target sequence. As ...