https://github.com/whai362/AE_TextSpotter
공식 코드AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting
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/whai362/TDA-ReCTS
공식 코드AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting
https://github.com/whatthebrett/hetersgt
공식 코드https://github.com/whb139426/grounded-video-llm
공식 코드Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
https://github.com/whu-zqh/e2s2
공식 코드E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation
https://github.com/whu-zqh/se4plms
공식 코드Self-Evolution Learning for Discriminative Language Model Pretraining
https://github.com/whynlp/probabilistic-transformer
공식 코드Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation
https://github.com/wiki-contradictory/wiki-self-contradictory
공식 코드WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia
https://github.com/wilcoxeg/targeted-assessment-imaze
공식 코드A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans
https://github.com/williamzr/protrix
공식 코드ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context
https://github.com/windylee0822/ctg
공식 코드Reinforcement Learning with Token-level Feedback for Controllable Text Generation
https://github.com/wing-nus/comparative-snippet-generation-dataset
공식 코드https://github.com/wiragotama/argmin2021
공식 코드https://github.com/wiseman/py-webrtcvad
공식 코드https://github.com/wjko2/Domain-Agnostic-Sentence-Specificity-Prediction
공식 코드https://github.com/wjko2/dcqa-discourse-comprehension-by-question-answering
공식 코드Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections
https://github.com/wjun0830/cgdetr
공식 코드Correlation-Guided Query-Dependency Calibration for Video Temporal Grounding
https://github.com/wjx-git/deptriggerner
공식 코드Low-Resource Named Entity Recognition Based on Multi-hop Dependency Trigger
https://github.com/wns823/NMT_SSP
공식 코드https://github.com/woohwanjung/dual
공식 코드Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation
https://github.com/woojinchung/lms
공식 코드https://github.com/workday/cpc
공식 코드Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference
https://github.com/worta/apty
공식 코드https://github.com/wouterkool/stochastic-beam-search
공식 코드https://github.com/wtliao/text2image
공식 코드https://github.com/wtma/PR-Embedding
공식 코드Conversational Word Embedding for Retrieval-Based Dialog System
https://github.com/wuning0929/ccp_ijcai22
공식 코드Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval
https://github.com/wusize/ovdet
공식 코드Aligning Bag of Regions for Open-Vocabulary Object Detection
https://github.com/wutaiqiang/ger-wsdm2023
공식 코드https://github.com/wutong18/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition
공식 코드Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
https://github.com/wuyuefei3/BR
공식 코드A Boundary Regression Model for Nested Named Entity Recognition
https://github.com/wxjiao/Data-Rejuvenation
공식 코드Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation
https://github.com/wxjiao/Pre-CODE
공식 코드Exploiting Unsupervised Data for Emotion Recognition in Conversations
https://github.com/wxjiao/is-chatgpt-a-good-translator
공식 코드https://github.com/wyripple/ada
공식 코드Adaptive Data Augmentation for Aspect Sentiment Quad Prediction
https://github.com/wyu97/permgen
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.