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Prompt Learning

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

https://github.com/shallowdream204/dreamclear

공식 코드

DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation

https://github.com/shaohuadong2021/dplnet

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Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning

https://github.com/sheldonresearch/ProG

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All in One: Multi-task Prompting for Graph Neural Networks

https://github.com/shengchaochen82/fedpod

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Federated Prompt Learning for Weather Foundation Models on Devices

https://github.com/shengchaochen82/metepfl

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Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data

https://github.com/shiningsunnyday/induction

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Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages

https://github.com/shirowalker/ucad

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Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt

https://github.com/shishuaihu/prosfda

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ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation

https://github.com/shiwoaz/lap

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Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection

https://github.com/shizhediao/black-box-prompt-learning

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Black-box Prompt Learning for Pre-trained Language Models

https://github.com/shogi880/DPLCLIP

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Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains

https://github.com/shuvenduroy/coprompt

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Consistency-guided Prompt Learning for Vision-Language Models

https://github.com/simonzpf/ap

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Adaptive Prompt Learning-based Few-Shot Sentiment Analysis

https://github.com/siyuanyan1/pldg

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Prompt-driven Latent Domain Generalization for Medical Image Classification

https://github.com/sleepwalkerg/svag

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State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking

https://github.com/smufang/fewshotgraph

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A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning

https://github.com/songchenlong/tcplp

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Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-Domain Recommendation

https://github.com/soumitri2001/gcpl

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Towards Generative Class Prompt Learning for Fine-grained Visual Recognition

https://github.com/sparktempest/bat

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Bi-directional Adapter for Multi-modal Tracking

https://github.com/sssaury/ham

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Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-identification

https://github.com/sssssuperior/vscode

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VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning

https://github.com/stephencurry-web/IQA

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Multi-Modal Prompt Learning on Blind Image Quality Assessment

https://github.com/sunyilgdx/prompts4keras

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NSP-BERT: A Prompt-based Few-Shot Learner Through an Original Pre-training Task--Next Sentence Prediction

https://github.com/sunzc-sunny/ppad

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Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays

https://github.com/syedhammadahmed/mmob

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Enhanced Multimodal Content Moderation of Children's Videos using Audiovisual Fusion

https://github.com/talalwasim/vita-clip

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Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting

https://github.com/thu-bpm/softmv

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Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer

https://github.com/thuiar/TCL-MAP

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Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition

https://github.com/thunlp/OpenPrompt

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OpenPrompt: An Open-source Framework for Prompt-learning

https://github.com/tiansongs/pl-fscil

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PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning

https://github.com/tianyucuiovo/fedpgp

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Harmonizing Generalization and Personalization in Federated Prompt Learning

https://github.com/tiggers23/albm

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Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability

https://github.com/tinnerhrhe/MTDiff

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Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning

https://github.com/tntek/source-free-domain-adaptation

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Source-Free Domain Adaptation with Frozen Multimodal Foundation Model

https://github.com/tom-tym/apg

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When Prompt-based Incremental Learning Does Not Meet Strong Pretraining

https://github.com/tonyhuang2022/upl

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Unsupervised Prompt Learning for Vision-Language Models

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