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/salesforce/bite

공식 코드

Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding

https://github.com/salesforce/cove

공식 코드

Learned in Translation: Contextualized Word Vectors

https://github.com/salesforce/decaNLP

공식 코드

The Natural Language Decathlon: Multitask Learning as Question Answering

https://github.com/salesforce/nonauto-nmt

공식 코드

Non-Autoregressive Neural Machine Translation

https://github.com/sally-sh/vsp-llm

공식 코드

Where Visual Speech Meets Language: VSP-LLM Framework for Efficient and Context-Aware Visual Speech Processing

https://github.com/sam575/axial-gan

공식 코드

Simultaneous Face Hallucination and Translation for Thermal to Visible Face Verification using Axial-GAN

https://github.com/samarth-robo/contactdb_prediction

공식 코드

ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging

https://github.com/samarth-robo/contactdb_utils

공식 코드

ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging

https://github.com/samarth4149/syncdr

공식 코드

SynCDR : Training Cross Domain Retrieval Models with Synthetic Data

https://github.com/samarthshukla/dcn

공식 코드

Zero-Pair Image to Image Translation using Domain Conditional Normalization

https://github.com/sameenmaruf/Bi-MSMT

공식 코드

Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations

https://github.com/sameenmaruf/acl2020-contextnmt-cataphora

공식 코드

Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns

https://github.com/sameenmaruf/selective-attn

공식 코드

Selective Attention for Context-aware Neural Machine Translation

https://github.com/samgregoost/Rethinking-CGANs

공식 코드

Rethinking conditional GAN training: An approach using geometrically structured latent manifolds

https://github.com/samsung/mt-llm-nlu

공식 코드

Large Language Models for Expansion of Spoken Language Understanding Systems to New Languages

https://github.com/samuki/reinforce-joey

공식 코드

Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation

https://github.com/sangwoomo/instagan

공식 코드

InstaGAN: Instance-aware Image-to-Image Translation

https://github.com/sapienzanlp/guardians-mt-eval

공식 코드

Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!

https://github.com/sapphire497/query-selected-attention

공식 코드

QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation

https://github.com/sara-rezaeimanesh/idiom_translation

공식 코드

A Comparative Study of LLMs, NMT Models, and Their Combination in Persian-English Idiom Translation

https://github.com/sarapapi/fbk-fairseq

공식 코드

Speechformer: Reducing Information Loss in Direct Speech Translation

https://github.com/sarapapi/reading_speed

공식 코드

Simultaneous Speech Translation for Live Subtitling: from Delay to Display

https://github.com/satwik77/Transformer-Computation-Analysis

공식 코드

On the Computational Power of Transformers and its Implications in Sequence Modeling

https://github.com/sberbank-ai/fusion_brain_aij2021

공식 코드

Many Heads but One Brain: Fusion Brain -- a Competition and a Single Multimodal Multitask Architecture

https://github.com/scientific-computing-lab-nrcn/mpi-rical

공식 코드

MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers

https://github.com/scofield7419/XSRL-ACL

공식 코드

Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus

https://github.com/scofield7419/ummt-vsh

공식 코드

Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination

https://github.com/scotthlee/nrc

공식 코드

Natural Language Generation for Electronic Health Records

https://github.com/scut-hc/utad-net

공식 코드

Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation

https://github.com/scuwr/securellm

공식 코드

SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data

https://github.com/sdadas/polish-roberta

공식 코드

Pre-training Polish Transformer-based Language Models at Scale

https://github.com/sdemyanov/ConvNet

공식 코드

Invariant backpropagation: how to train a transformation-invariant neural network

https://github.com/seamusl/gahealth

공식 코드

gaHealth: An English-Irish Bilingual Corpus of Health Data

https://github.com/seanie12/CLAPS

공식 코드

Contrastive Learning with Adversarial Perturbations for Conditional Text Generation

https://github.com/seanjia/srunit

공식 코드

Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics

https://github.com/seekingdream/nmtsloth

공식 코드

LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models

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