Papers with Code 아카이브

Translation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

4

보존된 평가 기록

5

코드

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

https://github.com/lyonling/pix2pix

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/m3hrdadfi/news-headline-generation

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

https://github.com/m3hrdadfi/wiki-summary

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

https://github.com/m3yrin/aligned-cross-entropy

Aligned Cross Entropy for Non-Autoregressive Machine Translation

https://github.com/m3yrin/code2seq

code2seq: Generating Sequences from Structured Representations of Code

https://github.com/m3yrin/nar-latent-alignment

End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification

https://github.com/ma921/XRDidentifier

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

https://github.com/maanvithag/thinkai

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

https://github.com/macandro96/pytorch-depth-motion

Unsupervised Monocular Depth Learning in Dynamic Scenes

https://github.com/macco3k/deepstories

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

https://github.com/macomino/TFM

R-FCN: Object Detection via Region-based Fully Convolutional Networks

https://github.com/magahub/songrnn

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

https://github.com/maheshmylavarapu0057/QueryBasedSummarisation

Diversity driven Attention Model for Query-based Abstractive Summarization

https://github.com/mahfuzmohammad/fixed-point-gan

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

https://github.com/mahimanzum/seq2seq_corrected_for_NCT

Massive Exploration of Neural Machine Translation Architectures

https://github.com/majing2019/transformer

Attention Is All You Need

https://github.com/makcedward/nlpaug

Synthetic and Natural Noise Both Break Neural Machine Translation

https://github.com/makefile/frcnn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

https://github.com/makeyourownmaker/mixup

Regularizing Neural Networks by Penalizing Confident Output Distributions

https://github.com/makora9143/pytorch-convcnp

Convolutional Conditional Neural Processes

https://github.com/makozi/AfrikaansNMT

Unsupervised Machine Translation Using Monolingual Corpora Only

https://github.com/maloadba/mgenseg_2d

Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images

https://github.com/mamamot/Russian-ULMFit

Regularizing and Optimizing LSTM Language Models

https://github.com/mandalarotation/PixdosepiX-OpenKBP---2020-AAPM-Grand-Challenge-

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/manicman1999/CycleGAN256-BR

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/manicman1999/Sword-GAN32

Autoencoding beyond pixels using a learned similarity metric

https://github.com/manideep2510/siamese-BERT-fake-news-detection-LIAR

Attention Is All You Need

https://github.com/manigalati/quality_control_CMR

Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation

https://github.com/manshri/tesum

mT5: A massively multilingual pre-trained text-to-text transformer

https://github.com/manueldeprada/decoders

Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement

https://github.com/maochf/MUSE

Word Translation Without Parallel Data

https://github.com/marcoppasini/MelGAN-VC

MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms

https://github.com/marian-nmt/amun

Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions

https://github.com/mariob6/style_text

Style Transfer from Non-Parallel Text by Cross-Alignment

https://github.com/mariogeiger/se3cnn

Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

https://github.com/maroxtn/tun-sentiment

Attention Is All You Need

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