conftrace_

prompt tuning

445 papers

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Also known as

PT

Co-occurring keywords · papers mentioning both

few-shot learning (89) vision-language model (81) transfer learning (59) pre-trained language model (54) parameter-efficient fine-tuning (45) large language model (45) soft prompt (40) zero-shot learning (36) domain adaptation (35) multimodal learning (29)

Papers

Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model ACL 2024 Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NeurIPS 2024 Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation AAAI 2024 Prompt-based Visual Alignment for Zero-shot Policy Transfer ICML 2024 PromptFusion: Decoupling Stability and Plasticity for Continual Learning ECCV 2024 Prompt Gradient Projection for Continual Learning ICLR 2024 Prompting Classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation WACV 2024 Prompting Fairness: Learning Prompts for Debiasing Large Language Models EACL 2024 Prompting Vision Foundation Models for Pathology Image Analysis CVPR 2024 PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning EMNLP 2024 Prompt Tuned Embedding Classification for Industry Sector Allocation NAACL 2024 Prompt-Tuned Muti-Task Taxonomic Transformer (PTMTTaxoFormer) EMNLP 2024 Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset Interspeech 2024 Prompt Tuning for Few-shot Relation Extraction via Modeling Global and Local Graphs COLING 2024 Prompt Tuning for Speech Recognition on Unknown Spoken Name Entities Interspeech 2024 Prompt-tuning Latent Diffusion Models for Inverse Problems ICML 2024 Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation NeurIPS 2024 ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval CVPR 2024 ProTeCt: Prompt Tuning for Taxonomic Open Set Classification CVPR 2024 Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning NAACL 2024 Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective NeurIPS 2024 Retrieval-Augmented Modular Prompt Tuning for Low-Resource Data-to-Text Generation COLING 2024 Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation EMNLP 2024 Robust Depth Enhancement via Polarization Prompt Fusion Tuning CVPR 2024 Robust Test-Time Adaptation for Zero-Shot Prompt Tuning AAAI 2024