Saved in:
| Main Authors: | Sander, Tom, Yu, Yaodong, Sanjabi, Maziar, Durmus, Alain, Ma, Yi, Chaudhuri, Kamalika, Guo, Chuan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.02506 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Déjà Vu Memorization in Vision-Language Models
by: Jayaraman, Bargav, et al.
Published: (2024)
by: Jayaraman, Bargav, et al.
Published: (2024)
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)
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
by: Basu, Samyadeep, et al.
Published: (2023)
by: Basu, Samyadeep, et al.
Published: (2023)
Learning to Rank Caption Chains for Video-Text Alignment
by: Blume, Ansel, et al.
Published: (2026)
by: Blume, Ansel, et al.
Published: (2026)
Watermark Anything with Localized Messages
by: Sander, Tom, et al.
Published: (2024)
by: Sander, Tom, et al.
Published: (2024)
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training
by: Sander, Tom, et al.
Published: (2024)
by: Sander, Tom, et al.
Published: (2024)
VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis
by: Hsu, Chia-Yi, et al.
Published: (2025)
by: Hsu, Chia-Yi, et al.
Published: (2025)
Modeling Image-Caption Rating from Comparative Judgments
by: Minni, Kezia, et al.
Published: (2026)
by: Minni, Kezia, et al.
Published: (2026)
Differentially Private Synthetic Data via Foundation Model APIs 1: Images
by: Lin, Zinan, et al.
Published: (2023)
by: Lin, Zinan, et al.
Published: (2023)
Variational Feature Compression for Model-Specific Representations
by: Guo, Zinan, et al.
Published: (2026)
by: Guo, Zinan, et al.
Published: (2026)
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation
by: Liu, Bochao, et al.
Published: (2024)
by: Liu, Bochao, et al.
Published: (2024)
Good Representation, Better Explanation: Role of Convolutional Neural Networks in Transformer-Based Remote Sensing Image Captioning
by: Das, Swadhin, et al.
Published: (2025)
by: Das, Swadhin, et al.
Published: (2025)
Pixels to Prose: Understanding the art of Image Captioning
by: Singh, Hrishikesh, et al.
Published: (2024)
by: Singh, Hrishikesh, et al.
Published: (2024)
From Pixels to Prose: A Large Dataset of Dense Image Captions
by: Singla, Vasu, et al.
Published: (2024)
by: Singla, Vasu, et al.
Published: (2024)
RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
by: Jiang, Tanqiu, et al.
Published: (2025)
by: Jiang, Tanqiu, et al.
Published: (2025)
When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights
by: Luo, You-Wei, et al.
Published: (2024)
by: Luo, You-Wei, et al.
Published: (2024)
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge
by: Dognin, Pierre, et al.
Published: (2020)
by: Dognin, Pierre, et al.
Published: (2020)
Pretrained Image-Text Models are Secretly Video Captioners
by: Zhang, Chunhui, et al.
Published: (2025)
by: Zhang, Chunhui, et al.
Published: (2025)
DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training
by: Wang, Zihao, et al.
Published: (2024)
by: Wang, Zihao, et al.
Published: (2024)
Image-Caption Encoding for Improving Zero-Shot Generalization
by: Yu, Eric Yang, et al.
Published: (2024)
by: Yu, Eric Yang, et al.
Published: (2024)
Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning
by: Harilal, Nidhin, et al.
Published: (2024)
by: Harilal, Nidhin, et al.
Published: (2024)
SC-Captioner: Improving Image Captioning with Self-Correction by Reinforcement Learning
by: Zhang, Lin, et al.
Published: (2025)
by: Zhang, Lin, et al.
Published: (2025)
COD: Learning Conditional Invariant Representation for Domain Adaptation Regression
by: Yang, Hao-Ran, et al.
Published: (2024)
by: Yang, Hao-Ran, et al.
Published: (2024)
MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
by: Bafghi, Reza Akbarian, et al.
Published: (2024)
by: Bafghi, Reza Akbarian, et al.
Published: (2024)
Learning Conditional Invariances through Non-Commutativity
by: Chaudhuri, Abhra, et al.
Published: (2024)
by: Chaudhuri, Abhra, et al.
Published: (2024)
ICC: Quantifying Image Caption Concreteness for Multimodal Dataset Curation
by: Yanuka, Moran, et al.
Published: (2024)
by: Yanuka, Moran, et al.
Published: (2024)
Diffusing Differentiable Representations
by: Savani, Yash, et al.
Published: (2024)
by: Savani, Yash, et al.
Published: (2024)
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation
by: Barfoot, Theodore, et al.
Published: (2024)
by: Barfoot, Theodore, et al.
Published: (2024)
PICS: Pipeline for Image Captioning and Search
by: Rosario, Grant, et al.
Published: (2024)
by: Rosario, Grant, et al.
Published: (2024)
Generalizable Geometric Image Caption Synthesis
by: Xin, Yue, et al.
Published: (2025)
by: Xin, Yue, et al.
Published: (2025)
A Closer Look at Multimodal Representation Collapse
by: Chaudhuri, Abhra, et al.
Published: (2025)
by: Chaudhuri, Abhra, et al.
Published: (2025)
Learning Private Representations through Entropy-based Adversarial Training
by: Klein, Tassilo, et al.
Published: (2025)
by: Klein, Tassilo, et al.
Published: (2025)
RubiCap: Rubric-Guided Reinforcement Learning for Dense Image Captioning
by: Huang, Tzu-Heng, et al.
Published: (2026)
by: Huang, Tzu-Heng, et al.
Published: (2026)
Image Captioning via Dynamic Path Customization
by: Ma, Yiwei, et al.
Published: (2024)
by: Ma, Yiwei, et al.
Published: (2024)
Image Captions are Natural Prompts for Text-to-Image Models
by: Lei, Shiye, et al.
Published: (2023)
by: Lei, Shiye, et al.
Published: (2023)
PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining
by: Li, Kecen, et al.
Published: (2023)
by: Li, Kecen, et al.
Published: (2023)
Effective pruning of web-scale datasets based on complexity of concept clusters
by: Abbas, Amro, et al.
Published: (2024)
by: Abbas, Amro, et al.
Published: (2024)
Evaluating Image Caption via Cycle-consistent Text-to-Image Generation
by: Cui, Tianyu, et al.
Published: (2025)
by: Cui, Tianyu, et al.
Published: (2025)
Similar Items
-
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning
by: Lebensold, Jonathan, et al.
Published: (2024) -
Déjà Vu Memorization in Vision-Language Models
by: Jayaraman, Bargav, et al.
Published: (2024) -
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) -
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
by: Basu, Samyadeep, et al.
Published: (2023)