Copertina

Discovering the Hidden Role of Gini Index In Prompt-based Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Lin, Ruixi
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Prompting the Unseen: Detecting Hidden Backdoors in Black-Box Models
di: Huang, Zi-Xuan, et al.
Pubblicazione: (2024)

Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers
di: Roschmann, Simon, et al.
Pubblicazione: (2025)

Discovering Influential Neuron Path in Vision Transformers
di: Wang, Yifan, et al.
Pubblicazione: (2025)

Exploring the Stability Gap in Continual Learning: The Role of the Classification Head
di: Łapacz, Wojciech, et al.
Pubblicazione: (2024)

Prompt-Free SAM-Based Multi-Task Framework for Breast Ultrasound Lesion Segmentation and Classification
di: Johnny, Samuel E., et al.
Pubblicazione: (2026)

Robust Box Prompt based SAM for Medical Image Segmentation
di: Huang, Yuhao, et al.
Pubblicazione: (2024)

An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
di: Jin, Chen, et al.
Pubblicazione: (2023)

Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery
di: Rao, Sukrut, et al.
Pubblicazione: (2024)

Hidden in the Noise: Two-Stage Robust Watermarking for Images
di: Arabi, Kasra, et al.
Pubblicazione: (2024)

Hidden in plain sight: VLMs overlook their visual representations
di: Fu, Stephanie, et al.
Pubblicazione: (2025)

PAND: Prompt-Aware Neighborhood Distillation for Lightweight Fine-Grained Visual Classification
di: Luo, Qiuming, et al.
Pubblicazione: (2026)

Prediction Error-based Classification for Class-Incremental Learning
di: Zając, Michał, et al.
Pubblicazione: (2023)

Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling
di: Fan, Jianan, et al.
Pubblicazione: (2024)

PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
di: Ma'sum, Muhammad Anwar, et al.
Pubblicazione: (2024)

PromptSplit: Revealing Prompt-Level Disagreement in Generative Models
di: Lotfian, Mehdi, et al.
Pubblicazione: (2026)

RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning
di: Hong, Kiseong, et al.
Pubblicazione: (2025)

One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
di: Li, Lin, et al.
Pubblicazione: (2024)

Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs
di: Mirza, M. Jehanzeb, et al.
Pubblicazione: (2024)

Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution
di: Kim, Bryan Sangwoo, et al.
Pubblicazione: (2026)

PFM-VEPAR: Prompting Foundation Models for RGB-Event Camera based Pedestrian Attribute Recognition
di: Xu, Minghe, et al.
Pubblicazione: (2026)

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering
di: Li, Xu, et al.
Pubblicazione: (2025)

Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models
di: Burgess, James, et al.
Pubblicazione: (2023)

Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations
di: Kulkarni, Pranav, et al.
Pubblicazione: (2024)

BiPrompt: Bilateral Prompt Optimization for Visual and Textual Debiasing in Vision-Language Models
di: Gupta, Sunny, et al.
Pubblicazione: (2026)

PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
di: Ma'sum, M. Anwar, et al.
Pubblicazione: (2025)

Graph Your Own Prompt
di: Ding, Xi, et al.
Pubblicazione: (2025)

PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment
di: Lee, Suhyeon, et al.
Pubblicazione: (2025)

Towards Multi-dimensional Explanation Alignment for Medical Classification
di: Hu, Lijie, et al.
Pubblicazione: (2024)

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
di: Liu, Tao, et al.
Pubblicazione: (2025)

Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning
di: Brouwer, Eric, et al.
Pubblicazione: (2024)

Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification
di: De Santis, Antonio, et al.
Pubblicazione: (2024)

Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
di: Ma'sum, Muhammad Anwar, et al.
Pubblicazione: (2024)

Variational Classification
di: Dhuliawala, Shehzaad, et al.
Pubblicazione: (2023)

Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Framework
di: Li, Zhuohong, et al.
Pubblicazione: (2024)

ECRTime: Ensemble Integration of Classification and Retrieval for Time Series Classification
di: Zhao, Fan, et al.
Pubblicazione: (2024)

Hidden Biases of End-to-End Driving Datasets
di: Zimmerlin, Julian, et al.
Pubblicazione: (2024)

Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs
di: Hong, Yunqi, et al.
Pubblicazione: (2025)

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
di: Lin, Zinan, et al.
Pubblicazione: (2025)

The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering
di: Li, Zhuowei, et al.
Pubblicazione: (2025)

Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
di: Wang, Zifu, et al.
Pubblicazione: (2023)