https://github.com/elbayadm/attn2d
공식 코드Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
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Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
Efficient Wait-k Models for Simultaneous Machine Translation
Token-level and sequence-level loss smoothing for RNN language models
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation
Beyond Deterministic Translation for Unsupervised Domain Adaptation
BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation
Deep High Dynamic Range Imaging with Large Foreground Motions
Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional Tagging
Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope
RPNet: an End-to-End Network for Relative Camera Pose Estimation
Broccoli: Sprinkling Lightweight Vocabulary Learning into Everyday Information Diets
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
SignBLEU: Automatic Evaluation of Multi-channel Sign Language Translation
E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation
Robust Open-Vocabulary Translation from Visual Text Representations
WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization
Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation
The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.