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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/violet-zct/fairseq-detect-hallucination
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
https://github.com/vipermu/ganimation
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/vishnuanil122/Bert-Binary-Text-Classifier
https://github.com/vita-group/gan-slimming
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
https://github.com/vivekgohel56/Neural-machine-translation-english-to-polish
https://github.com/vkumaresan/Rotational-CoordConv
https://github.com/vladsandulescu/hatefulmemes
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
https://github.com/vpj/jax_transformer
https://github.com/vscoboy/AI-
Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
https://github.com/vulus98/rethinking-attention
https://github.com/vvvm23/TchAIkovsky-Legacy
https://github.com/vvvm23/sundae
https://github.com/vxy10/p2-TrafficSigns
Traffic Sign Classification Using Deep Inception Based Convolutional Networks
https://github.com/vyraun/Half-Size
On Dimensional Linguistic Properties of the Word Embedding Space
https://github.com/walkacross/transformer-pytorch
https://github.com/wallacemplira/ganhopper
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation
https://github.com/walsvid/CoordConv
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
https://github.com/wang-chen/SubT
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning
https://github.com/wang-chen/interestingness_ros
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning
https://github.com/wang-h/neuralcompressor
Compressing Word Embeddings via Deep Compositional Code Learning
https://github.com/wangclnlp/deepspeed-chat-extension
ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation
https://github.com/wangmz15/Chinese-Error-Correction-with-THUMT
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/wangyu33/rStarGAN-master
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
https://github.com/wanyu2018umac/Unsupervised_Dialect_Translation
Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling
https://github.com/wayalhruhi/gogle_bert
https://github.com/wchh127/yykf
https://github.com/webnlg/webnlg-text-to-triples
Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text
https://github.com/weipeng0703/Pix2Pix_MindSpore_For_PaperWithCode/tree/main/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/weipingfu/qgeval
https://github.com/weiwang2330/sparse-structured-attention
A Regularized Framework for Sparse and Structured Neural Attention
https://github.com/wengong-jin/hgraph2graph
https://github.com/wgoldie/canvasdrawer
Unsupervised Image to Sequence Translation with Canvas-Drawer Networks
https://github.com/whr94621/NJUNMT-pytorch
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.