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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/aaaceo890/Attention

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/aaronbae/ModifiedSentenceVAE

Generating Sentences from a Continuous Space

https://github.com/aaronheee/recformer

Text Is All You Need: Learning Language Representations for Sequential Recommendation

https://github.com/abhaskumarsinha/Corpus2GPT

Language Models are Few-Shot Learners

https://github.com/abhaskumarsinha/MinimalGPT

Language Models are Few-Shot Learners

https://github.com/abhaskumarsinha/Seq2Seq-Bahdanau-Attention-based-Encoder-Decoder-Language-Translator

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/abhidipbhattacharyya/srl_aware_ret

Stacked Cross Attention for Image-Text Matching

https://github.com/abhilash1910/ClusterTransformer

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/abhilash1910/MiniClassifier

Sequence to Sequence Learning with Neural Networks

https://github.com/abhishekanand1710/noiseandbias

Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application

https://github.com/abhishekr7/Summarization-of-Radiological-Reports

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/abhishekshakya/seq-2-seq-for-neural-machine-translation-english-to-hindi-

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/ablx/comparative-arguments-thesis

Categorizing Comparative Sentences

https://github.com/abmitra84/Machine_Translation

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/abstatic/ire_project18

Automatic Argumentative-Zoning Using Word2vec

https://github.com/acl-org/reviewer-paper-matching

Simple and Effective Paraphrastic Similarity from Parallel Translations

https://github.com/adamlin120/Zero-shot_Classification_of_News_Title

Train Once, Test Anywhere: Zero-Shot Learning for Text Classification

https://github.com/adamx97/Data-Science-Advanced-Capstone

Convolutional Neural Networks for Sentence Classification

https://github.com/adi2103/AML-CoVe

Convolutional Neural Networks for Sentence Classification

https://github.com/adlnlp/Midas

MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU

https://github.com/adrian9631/TextSumma

Neural Summarization by Extracting Sentences and Words

https://github.com/adrinta/MAGNET

Multi-Label Text Classification using Attention-based Graph Neural Network

https://github.com/advaithsrao/Chatbot_Seq2seq_model

Sequence to Sequence Learning with Neural Networks

https://github.com/advaithsrao/TwitterSentimentAnalysis_using_UniversalSentenceEncoder

Universal Sentence Encoder

https://github.com/afqueiruga/ContinuousNet

Stateful ODE-Nets using Basis Function Expansions

https://github.com/afqueiruga/ODENet

Stateful ODE-Nets using Basis Function Expansions

https://github.com/afrozloya/charrec

Convolutional Neural Networks for Sentence Classification

https://github.com/ag169/Image-Captioning

Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge

https://github.com/ag17sep/Image-Captioning-Project

Show and Tell: A Neural Image Caption Generator

https://github.com/ahalterman/ngec

Synthetically generated text for supervised text analysis

https://github.com/ahmadelsallab/spell_corrector

Sequence to Sequence Learning with Neural Networks

https://github.com/ahmedbahaaeldin/Papers-from-Scratch

Convolutional Neural Networks for Sentence Classification

https://github.com/ahmedssabir/Textual-Visual-Semantic-Dataset-for-Text-Spotting

Semantic Relatedness Based Re-ranker for Text Spotting

https://github.com/ahmedssabir/dataset

Semantic Relatedness Based Re-ranker for Text Spotting

https://github.com/ahmedssabir/textual-visual-semantic-dataset

Convolutional Neural Networks for Sentence Classification

https://github.com/ai-s2-lab/fluenteditor

CampNet: Context-Aware Mask Prediction for End-to-End Text-Based Speech Editing

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.