OpenCodePapers

prompt-engineering-on-caltech-101

Transfer LearningPrompt Engineering
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PaperCodeHarmonic meanModelNameReleaseDate
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models✓ Link97.77PromptKD2024-03-05
MERGETUNE: Continued Fine-Tuning of Vision-Language Models✓ Link97.77PromptKD + MergeTune2026-01-15
Causality-guided Prompt Learning for Vision-language Models via Visual Granulation97.47CaPL2025-09-04
Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics97.36GAPL2026-04-05
ProCAP: Probabilistic Cross-Attentive Prompt Learning for Vision-Language Models✓ Link97.11ProCAP2026-09-24
Fourier-Attentive Representation Learning: A Fourier-Guided Framework for Few-Shot Generalization in Vision-Language Models97.03FARL2025-12-04
AttriPrompt: Dynamic Prompt Composition Learning for CLIP96.99AttriPrompt2025-09-07
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling✓ Link96.96HPT++2024-08-27
DeAR: Fine-Grained VLM Adaptation by Decomposing Attention Head Roles✓ Link96.95DeAR2026-03-01
HeBA: Heterogeneous Bottleneck Adapters for Robust Vision-Language Models✓ Link96.92HeBA2026-03-17
Robust Prompt Tuning for Vision-Language Models with Mild Semantic Noise96.80ANPrompt2025-08-06
MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models✓ Link96.75MMRL++2025-05-15
SpecPL: Disentangling Spectral Granularity for Prompt Learning✓ Link96.71MMRL + SpecPL2026-05-06
MMRL: Multi-Modal Representation Learning for Vision-Language Models✓ Link96.68MMRL2025-03-11
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models✓ Link96.65HPT2023-12-11
SpecPL: Disentangling Spectral Granularity for Prompt Learning✓ Link96.60MaPLe + SpecPL2026-05-06
Consistency-guided Prompt Learning for Vision-Language Models✓ Link96.55CoPrompt2023-06-01
GLAD: Generalizable Tuning for Vision-Language Models96.49GLAD2025-07-17
A Closer Look at Conditional Prompt Tuning for Vision-Language Models✓ Link96.46DeCaPT2025-06-30
MERGETUNE: Continued Fine-Tuning of Vision-Language Models✓ Link96.45MMA + MergeTune2026-01-15
MERGETUNE: Continued Fine-Tuning of Vision-Language Models✓ Link96.37KgCoOp + MergeTune2026-01-15
Learning Domain Invariant Prompt for Vision-Language Models✓ Link96.32MetaPrompt2022-12-08
One Last Attention for Your Vision-Language Model✓ Link96.31RAda2025-07-21
One Last Attention for Your Vision-Language Model✓ Link96.31RAda + Prompt2025-07-21
DePT: Decoupled Prompt Tuning✓ Link96.28DePT2023-09-14
RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models96.26RMAdapter2025-12-07
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning96.26CoCoOp + IPL2026-05-06
MERGETUNE: Continued Fine-Tuning of Vision-Language Models✓ Link96.25CoOp + MergeTune2026-01-15
SpecPL: Disentangling Spectral Granularity for Prompt Learning✓ Link96.19CoCoOp + SpecPL2026-05-06
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning96.17PromptSRC + IPL2026-05-06
Prompt Learning via Meta-Regularization✓ Link96.16ProMetaR2024-04-01
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning96.14MaPLe + IPL2026-05-06
Read-only Prompt Optimization for Vision-Language Few-shot Learning✓ Link96.03RPO2023-08-29
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning96.03KgCoOp + IPL2026-05-06
MaPLe: Multi-modal Prompt Learning✓ Link96.02MaPLe2022-10-06
Self-regulating Prompts: Foundational Model Adaptation without Forgetting✓ Link96.02PromptSRC2023-07-13
Conditional Prompt Learning for Vision-Language Models✓ Link95.84CoCoOp2022-03-10
One Last Attention for Your Vision-Language Model✓ Link95.76RAda + Adapter2025-07-21
Learning Transferable Visual Models From Natural Language Supervision✓ Link95.40CLIP2021-02-26
SpecPL: Disentangling Spectral Granularity for Prompt Learning✓ Link95.31CoOp + SpecPL2026-05-06
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning95.19CoOp + IPL2026-05-06
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