Saved in:
| Main Authors: | Jayaraman, Bargav, Guo, Chuan, Chaudhuri, Kamalika |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.02103 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Measuring Déjà vu Memorization Efficiently
by: Kokhlikyan, Narine, et al.
Published: (2025)
by: Kokhlikyan, Narine, et al.
Published: (2025)
Data Redaction from Conditional Generative Models
by: Kong, Zhifeng, et al.
Published: (2023)
by: Kong, Zhifeng, et al.
Published: (2023)
Differentially Private Representation Learning via Image Captioning
by: Sander, Tom, et al.
Published: (2024)
by: Sander, Tom, et al.
Published: (2024)
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning
by: Lebensold, Jonathan, et al.
Published: (2024)
by: Lebensold, Jonathan, et al.
Published: (2024)
Quantifying Cross-Modality Memorization in Vision-Language Models
by: Wen, Yuxin, et al.
Published: (2025)
by: Wen, Yuxin, et al.
Published: (2025)
Localizing Memorization in SSL Vision Encoders
by: Wang, Wenhao, et al.
Published: (2024)
by: Wang, Wenhao, et al.
Published: (2024)
On the Use of Anchoring for Training Vision Models
by: Narayanaswamy, Vivek, et al.
Published: (2024)
by: Narayanaswamy, Vivek, et al.
Published: (2024)
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training
by: Zhang, Wenyu, et al.
Published: (2024)
by: Zhang, Wenyu, et al.
Published: (2024)
Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse
by: Hwang, Jinwoo, et al.
Published: (2025)
by: Hwang, Jinwoo, et al.
Published: (2025)
Bridge the Modality and Capability Gaps in Vision-Language Model Selection
by: Yi, Chao, et al.
Published: (2024)
by: Yi, Chao, et al.
Published: (2024)
Self-Evolving Visual Concept Library using Vision-Language Critics
by: Sehgal, Atharva, et al.
Published: (2025)
by: Sehgal, Atharva, et al.
Published: (2025)
Generative Modeling of Weights: Generalization or Memorization?
by: Zeng, Boya, et al.
Published: (2025)
by: Zeng, Boya, et al.
Published: (2025)
Learning without Forgetting for Vision-Language Models
by: Zhou, Da-Wei, et al.
Published: (2023)
by: Zhou, Da-Wei, et al.
Published: (2023)
On Memorization in Diffusion Models
by: Gu, Xiangming, et al.
Published: (2023)
by: Gu, Xiangming, et al.
Published: (2023)
Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models
by: Hartman, Max, et al.
Published: (2025)
by: Hartman, Max, et al.
Published: (2025)
Generalization and Memorization in Rectified Flow
by: Rao, Mingxing, et al.
Published: (2026)
by: Rao, Mingxing, et al.
Published: (2026)
MMRL: Multi-Modal Representation Learning for Vision-Language Models
by: Guo, Yuncheng, et al.
Published: (2025)
by: Guo, Yuncheng, et al.
Published: (2025)
Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Models
by: He, Jack, et al.
Published: (2024)
by: He, Jack, et al.
Published: (2024)
Leveraging Registers in Vision Transformers for Robust Adaptation
by: Yellapragada, Srikar, et al.
Published: (2025)
by: Yellapragada, Srikar, et al.
Published: (2025)
Beyond Memorization: Selective Learning for Copyright-Safe Diffusion Model Training
by: Kothandaraman, Divya, et al.
Published: (2025)
by: Kothandaraman, Divya, et al.
Published: (2025)
A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis
by: Scardace, Antonio, et al.
Published: (2025)
by: Scardace, Antonio, et al.
Published: (2025)
Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images
by: Sahayam, Subin, et al.
Published: (2024)
by: Sahayam, Subin, et al.
Published: (2024)
FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models
by: Zheng, Weiying, et al.
Published: (2025)
by: Zheng, Weiying, et al.
Published: (2025)
Memorization in 3D Shape Generation: An Empirical Study
by: Pu, Shu, et al.
Published: (2025)
by: Pu, Shu, et al.
Published: (2025)
Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
by: Ren, Mengye
Published: (2026)
by: Ren, Mengye
Published: (2026)
Vision Language Models are Biased
by: Vo, An, et al.
Published: (2025)
by: Vo, An, et al.
Published: (2025)
Captured by Captions: On Memorization and its Mitigation in CLIP Models
by: Wang, Wenhao, et al.
Published: (2025)
by: Wang, Wenhao, et al.
Published: (2025)
Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads
by: Cherian, Anoop, et al.
Published: (2024)
by: Cherian, Anoop, et al.
Published: (2024)
U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding
by: Le, Anjie, et al.
Published: (2025)
by: Le, Anjie, et al.
Published: (2025)
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization
by: Choi, Hongjun, et al.
Published: (2024)
by: Choi, Hongjun, et al.
Published: (2024)
Vision-Language Models Encode Clinical Guidelines for Concept-Based Medical Reasoning
by: Harmanani, Mohamed, et al.
Published: (2026)
by: Harmanani, Mohamed, et al.
Published: (2026)
Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model
by: Yan, Hao, et al.
Published: (2024)
by: Yan, Hao, et al.
Published: (2024)
From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures
by: Khalid, Waleed, et al.
Published: (2026)
by: Khalid, Waleed, et al.
Published: (2026)
Fine-Grained Alignment in Vision-and-Language Navigation through Bayesian Optimization
by: Song, Yuhang, et al.
Published: (2024)
by: Song, Yuhang, et al.
Published: (2024)
Active Zero: Self-Evolving Vision-Language Models through Active Environment Exploration
by: He, Jinghan, et al.
Published: (2026)
by: He, Jinghan, et al.
Published: (2026)
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
by: Palit, Sanchar, et al.
Published: (2024)
by: Palit, Sanchar, et al.
Published: (2024)
Learning Conditional Invariances through Non-Commutativity
by: Chaudhuri, Abhra, et al.
Published: (2024)
by: Chaudhuri, Abhra, et al.
Published: (2024)
Post-hoc Probabilistic Vision-Language Models
by: Baumann, Anton, et al.
Published: (2024)
by: Baumann, Anton, et al.
Published: (2024)
Understanding Task Transfer in Vision-Language Models
by: Sachdeva, Bhuvan, et al.
Published: (2025)
by: Sachdeva, Bhuvan, et al.
Published: (2025)
Neutral-Reference Prompting for Vision-Language Models
by: Tian, Senmao, et al.
Published: (2026)
by: Tian, Senmao, et al.
Published: (2026)
Similar Items
-
Measuring Déjà vu Memorization Efficiently
by: Kokhlikyan, Narine, et al.
Published: (2025) -
Data Redaction from Conditional Generative Models
by: Kong, Zhifeng, et al.
Published: (2023) -
Differentially Private Representation Learning via Image Captioning
by: Sander, Tom, et al.
Published: (2024) -
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning
by: Lebensold, Jonathan, et al.
Published: (2024) -
Quantifying Cross-Modality Memorization in Vision-Language Models
by: Wen, Yuxin, et al.
Published: (2025)