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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/iamwangyabin/s-prompts

공식 코드

S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning

https://github.com/ibm/ensemble-instruct

공식 코드

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

https://github.com/ict-bigdatalab/ugr

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A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning

https://github.com/igor-morawski/tmm-sem

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Leveraging Content and Context Cues for Low-Light Image Enhancement

https://github.com/jason-lim26/dipex

공식 코드

DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection

https://github.com/jasper0314-huang/Receler

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Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers

https://github.com/jaychempan/LAE-DINO

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Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community

https://github.com/jaygagaga/pronog

공식 코드

Non-Homophilic Graph Pre-Training and Prompt Learning

https://github.com/jeremyleiliu/xlingudial

공식 코드

Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue Generation

https://github.com/jiaqixuac/WResVLM

공식 코드

Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models

https://github.com/jiawen-zhu/vipt

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Visual Prompt Multi-Modal Tracking

https://github.com/jindongli-ai/survey_on_clip-powered_domain_generalization_and_adaptation

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CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey

https://github.com/jinfeihu-stan/ipl

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Instance-aware Prompt Learning for Language Understanding and Generation

https://github.com/jochemloedeman/pgn

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Prompt Generation Networks for Input-Space Adaptation of Frozen Vision Transformers

https://github.com/junfanlin/oohmg

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Being Comes from Not-being: Open-vocabulary Text-to-Motion Generation with Wordless Training

https://github.com/junfu1995/clip-agiqa

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Vision-Language Consistency Guided Multi-modal Prompt Learning for Blind AI Generated Image Quality Assessment

https://github.com/junfu1995/clip-dqa

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CLIP-DQA: Blindly Evaluating Dehazed Images from Global and Local Perspectives Using CLIP

https://github.com/juszzi/pen

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Prompt-enhanced Network for Hateful Meme Classification

https://github.com/kaist-dmlab/pcb

공식 코드

Active Prompt Learning in Vision Language Models

https://github.com/kaiyangzhou/coop

공식 코드

Learning to Prompt for Vision-Language Models

https://github.com/kanyooo/biomed-dpt

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Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language Models

https://github.com/kelvin-ywc/lpi

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Low-rank Prompt Interaction for Continual Vision-Language Retrieval

https://github.com/laihuiyuan/mmfld

공식 코드

Multilingual Multi-Figurative Language Detection

https://github.com/lbc12345/promptcir-ntire24

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PromptCIR: Blind Compressed Image Restoration with Prompt Learning

https://github.com/leonmakise/prores

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ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration

https://github.com/lhaof/unicell

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UniCell: Universal Cell Nucleus Classification via Prompt Learning

https://github.com/lhaof/vapl

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Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction

https://github.com/liaolea/mvp

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Modeling Variants of Prompts for Vision-Language Models

https://github.com/lileipisces/pepler

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Personalized Prompt Learning for Explainable Recommendation

https://github.com/linxin0/rscp2gan

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Re-boosting Self-Collaboration Parallel Prompt GAN for Unsupervised Image Restoration

https://github.com/lionel-w2/fap

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Few-Shot Adversarial Prompt Learning on Vision-Language Models

https://github.com/lirongwu/prompt-ddg

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Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning

https://github.com/littlehacker26/discriminator-cooperative-unlikelihood-prompt-tuning

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DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Generation

https://github.com/liupei101/vlsa

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Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology

https://github.com/livnlp/prompt-robustness

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Evaluating the Robustness of Discrete Prompts

https://github.com/lixuefeng2020ai/gzpl

공식 코드

Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting

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