Scendi Score: Prompt-Aware Diversity Evaluation via Schur Complement of CLIP Embeddings
Fuente:
arXiv
Saved in:
| Main Authors: | Ospanov, Azim, Jalali, Mohammad, Farnia, Farzan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Conditional Vendi Score: An Information-Theoretic Approach to Diversity Evaluation of Prompt-based Generative Models
by: Jalali, Mohammad, et al.
Published: (2024)
by: Jalali, Mohammad, et al.
Published: (2024)
Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error
by: Farnia, Farzan, et al.
Published: (2026)
by: Farnia, Farzan, et al.
Published: (2026)
SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
by: Jalali, Mohammad, et al.
Published: (2025)
by: Jalali, Mohammad, et al.
Published: (2025)
PromptSplit: Revealing Prompt-Level Disagreement in Generative Models
by: Lotfian, Mehdi, et al.
Published: (2026)
by: Lotfian, Mehdi, et al.
Published: (2026)
Towards an Explainable Comparison and Alignment of Feature Embeddings
by: Jalali, Mohammad, et al.
Published: (2025)
by: Jalali, Mohammad, et al.
Published: (2025)
Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees
by: Ospanov, Azim, et al.
Published: (2024)
by: Ospanov, Azim, et al.
Published: (2024)
Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance
by: Sani, Matina Mahdizadeh, et al.
Published: (2026)
by: Sani, Matina Mahdizadeh, et al.
Published: (2026)
Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach
by: Zhang, Jingwei, et al.
Published: (2024)
by: Zhang, Jingwei, et al.
Published: (2024)
When Exploration Comes for Free with Mixture-Greedy: Do we need UCB in Diversity-Aware Multi-Armed Bandits?
by: Nia, Bahar Dibaei, et al.
Published: (2026)
by: Nia, Bahar Dibaei, et al.
Published: (2026)
Sparse Domain Transfer via Elastic Net Regularization
by: Zhang, Jingwei, et al.
Published: (2024)
by: Zhang, Jingwei, et al.
Published: (2024)
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
by: Gong, Shizhan, et al.
Published: (2024)
by: Gong, Shizhan, et al.
Published: (2024)
Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
by: Gong, Shizhan, et al.
Published: (2025)
by: Gong, Shizhan, et al.
Published: (2025)
Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability
by: Ye, Zhuorui, et al.
Published: (2024)
by: Ye, Zhuorui, et al.
Published: (2024)
APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning
by: Ospanov, Azim, et al.
Published: (2025)
by: Ospanov, Azim, et al.
Published: (2025)
An Interpretable Evaluation of Entropy-based Novelty of Generative Models
by: Zhang, Jingwei, et al.
Published: (2024)
by: Zhang, Jingwei, et al.
Published: (2024)
A Super-pixel-based Approach to the Stable Interpretation of Neural Networks
by: Gong, Shizhan, et al.
Published: (2024)
by: Gong, Shizhan, et al.
Published: (2024)
SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation System
by: Fan, Yunfei, et al.
Published: (2023)
by: Fan, Yunfei, et al.
Published: (2023)
Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations
by: Oskouie, Haniyeh Ehsani, et al.
Published: (2022)
by: Oskouie, Haniyeh Ehsani, et al.
Published: (2022)
MedP-CLIP: Medical CLIP with Region-Aware Prompt Integration
by: Peng, Jiahui, et al.
Published: (2026)
by: Peng, Jiahui, et al.
Published: (2026)
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
by: Bai, Jiawang, et al.
Published: (2023)
by: Bai, Jiawang, et al.
Published: (2023)
miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward
by: Ospanov, Azim, et al.
Published: (2025)
by: Ospanov, Azim, et al.
Published: (2025)
VTD-CLIP: Video-to-Text Discretization via Prompting CLIP
by: Zhu, Wencheng, et al.
Published: (2025)
by: Zhu, Wencheng, et al.
Published: (2025)
Towards a Scalable Reference-Free Evaluation of Generative Models
by: Ospanov, Azim, et al.
Published: (2024)
by: Ospanov, Azim, et al.
Published: (2024)
QwenCLIP: Boosting Medical Vision-Language Pretraining via LLM Embeddings and Prompt tuning
by: Wei, Xiaoyang, et al.
Published: (2025)
by: Wei, Xiaoyang, et al.
Published: (2025)
PureCLIP-Depth: Prompt-Free and Decoder-Free Monocular Depth Estimation within CLIP Embedding Space
by: Miya, Ryutaro, et al.
Published: (2026)
by: Miya, Ryutaro, et al.
Published: (2026)
SPACE-CLIP: Spatial Perception via Adaptive CLIP Embeddings for Monocular Depth Estimation
by: Cho, Taewan, et al.
Published: (2026)
by: Cho, Taewan, et al.
Published: (2026)
PromptMoG: Enhancing Diversity in Long-Prompt Image Generation via Prompt Embedding Mixture-of-Gaussian Sampling
by: Ruan, Bo-Kai, et al.
Published: (2025)
by: Ruan, Bo-Kai, et al.
Published: (2025)
DiffPattern-Flex: Efficient Layout Pattern Generation via Discrete Diffusion
by: Wang, Zixiao, et al.
Published: (2025)
by: Wang, Zixiao, et al.
Published: (2025)
CLIP's Visual Embedding Projector is a Few-shot Cornucopia
by: Fahes, Mohammad, et al.
Published: (2024)
by: Fahes, Mohammad, et al.
Published: (2024)
AD-CLIP: Adapting Domains in Prompt Space Using CLIP
by: Singha, Mainak, et al.
Published: (2023)
by: Singha, Mainak, et al.
Published: (2023)
TNG-CLIP:Training-Time Negation Data Generation for Negation Awareness of CLIP
by: Cai, Yuliang, et al.
Published: (2025)
by: Cai, Yuliang, et al.
Published: (2025)
SPECS: Specificity-Enhanced CLIP-Score for Long Image Caption Evaluation
by: Chen, Xiaofu, et al.
Published: (2025)
by: Chen, Xiaofu, et al.
Published: (2025)
AttriPrompt: Dynamic Prompt Composition Learning for CLIP
by: Zhan, Qiqi, et al.
Published: (2025)
by: Zhan, Qiqi, et al.
Published: (2025)
GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection
by: Kim, Donghyeong, et al.
Published: (2025)
by: Kim, Donghyeong, et al.
Published: (2025)
AnimalMotionCLIP: Embedding motion in CLIP for Animal Behavior Analysis
by: Zhong, Enmin, et al.
Published: (2025)
by: Zhong, Enmin, et al.
Published: (2025)
Prompt Tuning for CLIP on the Pretrained Manifold
by: Yang, Xi, et al.
Published: (2026)
by: Yang, Xi, et al.
Published: (2026)
Making Better Mistakes in CLIP-Based Zero-Shot Classification with Hierarchy-Aware Language Prompts
by: Liang, Tong, et al.
Published: (2025)
by: Liang, Tong, et al.
Published: (2025)
Towards Fine-Grained Adaptation of CLIP via a Self-Trained Alignment Score
by: Ali, Eman, et al.
Published: (2025)
by: Ali, Eman, et al.
Published: (2025)
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
by: Cao, Yunkang, et al.
Published: (2024)
by: Cao, Yunkang, et al.
Published: (2024)
DeCLIP: Decoupled Prompting for CLIP-based Multi-Label Class-Incremental Learning
by: Du, Kaile, et al.
Published: (2025)
by: Du, Kaile, et al.
Published: (2025)
Similar Items
-
Conditional Vendi Score: An Information-Theoretic Approach to Diversity Evaluation of Prompt-based Generative Models
by: Jalali, Mohammad, et al.
Published: (2024) -
Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error
by: Farnia, Farzan, et al.
Published: (2026) -
SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
by: Jalali, Mohammad, et al.
Published: (2025) -
PromptSplit: Revealing Prompt-Level Disagreement in Generative Models
by: Lotfian, Mehdi, et al.
Published: (2026) -
Towards an Explainable Comparison and Alignment of Feature Embeddings
by: Jalali, Mohammad, et al.
Published: (2025)