https://github.com/universebh/text_generation_fsa_gan
Long Text Generation via Adversarial Training with Leaked Information
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/unreliableXu/TensorFlow_RLRE
Reinforcement Learning for Relation Classification from Noisy Data
https://github.com/usama6832/attention_model
https://github.com/uzi0espil/research-papers-implementation/tree/master/Effective%20Approaches%20to%20Attention-based%20Neural%20Machine%20Translation
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/uzi0espil/research-papers-implementation/tree/master/Neural%20Machine%20Translation%20by%20Jointly%20Learning%20to%20Align%20and%20Translate
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/vGkatsis/Chat_Bot_DL
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/vackosar/fasttext-vector-norms-and-oov-words
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
https://github.com/vaibhav4595/BiMPM_PyTorch
Bilateral Multi-Perspective Matching for Natural Language Sentences
https://github.com/valko073/LyricsGANs
Long Text Generation via Adversarial Training with Leaked Information
https://github.com/valteruo/sql2circuits
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
https://github.com/varshakr24/CommonsenseReasoning
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
https://github.com/varun-bhaseen/Image-caption-generation-using-attention-model
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/varun-suresh/experiments-with-gpt2/tree/main/language_models
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/varunchaudharycs/aNswER_multirc
Repurposing Entailment for Multi-Hop Question Answering Tasks
https://github.com/varunchaudharycs/multi_rc
Repurposing Entailment for Multi-Hop Question Answering Tasks
https://github.com/vchopin/GNMT_v2
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
https://github.com/vdefont/readnet
ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis
https://github.com/vdogmcgee/SimCSE-Chinese-Pytorch
https://github.com/vene/sparse-structured-attention
A Regularized Framework for Sparse and Structured Neural Attention
https://github.com/vietai/SAT
https://github.com/vikua/keras-attention-models
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/vilm-ai/viet-llm-eval
https://github.com/vinodkkurmi/PQG
Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator
https://github.com/vios-s/ldm-phrase-grounding
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
https://github.com/viplazylmht/image-captioning-inference
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
https://github.com/virsagothethird/Korean-English-translator
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
https://github.com/vishalrk1/SkimLit
Neural Networks for Joint Sentence Classification in Medical Paper Abstracts
https://github.com/vithyayogarajan/covid-19-patient-shielding
https://github.com/vivekgohel56/Neural-machine-translation-english-to-polish
https://github.com/vivekpandian08/French_English_Translation-NMT-
https://github.com/vladsandulescu/hatefulmemes
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
https://github.com/voicy-ai/DialogStateTracking
https://github.com/volcengine/vegiantmodel
https://github.com/vrama91/cider
https://github.com/vrama91/coco-caption
https://github.com/vvvm23/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.