Saved in:
| Main Authors: | You, Chenyu, Min, Yifei, Dai, Weicheng, Sekhon, Jasjeet S., Staib, Lawrence, Duncan, James S. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.07241 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncovering Memorization Effect in the Presence of Spurious Correlations
by: You, Chenyu, et al.
Published: (2025)
by: You, Chenyu, et al.
Published: (2025)
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels
by: You, Chenyu, et al.
Published: (2022)
by: You, Chenyu, et al.
Published: (2022)
Learning Emergent Modular Representations in Multi-modality Medical Vision Foundation Models
by: He, Yuting, et al.
Published: (2026)
by: He, Yuting, et al.
Published: (2026)
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout
by: Zeevi, Tal, et al.
Published: (2025)
by: Zeevi, Tal, et al.
Published: (2025)
Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration
by: Zhang, Xiaoran, et al.
Published: (2023)
by: Zhang, Xiaoran, et al.
Published: (2023)
BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma
by: Yang, Junlin, et al.
Published: (2026)
by: Yang, Junlin, et al.
Published: (2026)
Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation
by: Zeevi, Tal, et al.
Published: (2024)
by: Zeevi, Tal, et al.
Published: (2024)
Improving Medical Multi-modal Contrastive Learning with Expert Annotations
by: Kumar, Yogesh, et al.
Published: (2024)
by: Kumar, Yogesh, et al.
Published: (2024)
Spatially-Aware Evaluation of Segmentation Uncertainty
by: Zeevi, Tal, et al.
Published: (2025)
by: Zeevi, Tal, et al.
Published: (2025)
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation
by: Ghaznavi, Mahdi, et al.
Published: (2024)
by: Ghaznavi, Mahdi, et al.
Published: (2024)
Robust Visual Representation Learning with Multi-modal Prior Knowledge for Image Classification Under Distribution Shift
by: Zhou, Hongkuan, et al.
Published: (2024)
by: Zhou, Hongkuan, et al.
Published: (2024)
Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations
by: Qu, Linhao, et al.
Published: (2024)
by: Qu, Linhao, et al.
Published: (2024)
Adaptive Correspondence Scoring for Unsupervised Medical Image Registration
by: Zhang, Xiaoran, et al.
Published: (2023)
by: Zhang, Xiaoran, et al.
Published: (2023)
Countering Multi-modal Representation Collapse through Rank-targeted Fusion
by: Kim, Seulgi, et al.
Published: (2025)
by: Kim, Seulgi, et al.
Published: (2025)
Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data
by: Qayyum, Alif Bin Abdul, et al.
Published: (2024)
by: Qayyum, Alif Bin Abdul, et al.
Published: (2024)
Enhancing Fine-Grained Spatial Grounding in 3D CT Report Generation via Discriminative Guidance
by: Wang, Chenyu, et al.
Published: (2026)
by: Wang, Chenyu, et al.
Published: (2026)
Flexible Control of 3D CT Generation via Text and Semantically-Defined Segmentation Prompts
by: Dai, Weicheng, et al.
Published: (2026)
by: Dai, Weicheng, et al.
Published: (2026)
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
by: Wen, Tiansheng, et al.
Published: (2025)
by: Wen, Tiansheng, et al.
Published: (2025)
Progressive Test Time Energy Adaptation for Medical Image Segmentation
by: Zhang, Xiaoran, et al.
Published: (2025)
by: Zhang, Xiaoran, et al.
Published: (2025)
In-Context Symmetries: Self-Supervised Learning through Contextual World Models
by: Gupta, Sharut, et al.
Published: (2024)
by: Gupta, Sharut, et al.
Published: (2024)
CoMA: Compositional Human Motion Generation with Multi-modal Agents
by: Sun, Shanlin, et al.
Published: (2024)
by: Sun, Shanlin, et al.
Published: (2024)
Hierarchical Multi-Graphs Learning for Robust Group Re-Identification
by: Liu, Ruiqi, et al.
Published: (2024)
by: Liu, Ruiqi, et al.
Published: (2024)
On the Role of Discrete Tokenization in Visual Representation Learning
by: Du, Tianqi, et al.
Published: (2024)
by: Du, Tianqi, et al.
Published: (2024)
Hierarchical Concept Embedding & Pursuit for Interpretable Image Classification
by: Nguyen, Nghia, et al.
Published: (2026)
by: Nguyen, Nghia, et al.
Published: (2026)
Visual Imitation Learning with Calibrated Contrastive Representation
by: Wang, Yunke, et al.
Published: (2024)
by: Wang, Yunke, et al.
Published: (2024)
Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP
by: Jin, Ruinan, et al.
Published: (2024)
by: Jin, Ruinan, et al.
Published: (2024)
FactorHD: A Hyperdimensional Computing Model for Multi-Object Multi-Class Representation and Factorization
by: Zhou, Yifei, et al.
Published: (2025)
by: Zhou, Yifei, et al.
Published: (2025)
Multi-level and Multi-modal Action Anticipation
by: Kim, Seulgi, et al.
Published: (2025)
by: Kim, Seulgi, et al.
Published: (2025)
Enhancing Adversarial Robustness through Multi-Objective Representation Learning
by: Hotegni, Sedjro Salomon, et al.
Published: (2024)
by: Hotegni, Sedjro Salomon, et al.
Published: (2024)
Learn from Foundation Model: Fruit Detection Model without Manual Annotation
by: Wang, Yanan, et al.
Published: (2024)
by: Wang, Yanan, et al.
Published: (2024)
Count2Density: Crowd Density Estimation without Location-level Annotations
by: Litrico, Mattia, et al.
Published: (2025)
by: Litrico, Mattia, et al.
Published: (2025)
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
by: Wang, Hu, et al.
Published: (2023)
by: Wang, Hu, et al.
Published: (2023)
Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
by: Madaan, Divyam, et al.
Published: (2025)
by: Madaan, Divyam, et al.
Published: (2025)
Structure by Architecture: Structured Representations without Regularization
by: Leeb, Felix, et al.
Published: (2020)
by: Leeb, Felix, et al.
Published: (2020)
Prompting without Panic: Attribute-aware, Zero-shot, Test-Time Calibration
by: Hebbalaguppe, Ramya, et al.
Published: (2025)
by: Hebbalaguppe, Ramya, et al.
Published: (2025)
SCMM: Calibrating Cross-modal Representations for Text-Based Person Search
by: Liu, Jing, et al.
Published: (2023)
by: Liu, Jing, et al.
Published: (2023)
ReFiNe: Recursive Field Networks for Cross-modal Multi-scene Representation
by: Zakharov, Sergey, et al.
Published: (2024)
by: Zakharov, Sergey, et al.
Published: (2024)
Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learning
by: Shurrab, Saeed, et al.
Published: (2024)
by: Shurrab, Saeed, et al.
Published: (2024)
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization
by: Yang, Yifei, et al.
Published: (2024)
by: Yang, Yifei, et al.
Published: (2024)
TransDiffuser: Diverse Trajectory Generation with Decorrelated Multi-modal Representation for End-to-end Autonomous Driving
by: Jiang, Xuefeng, et al.
Published: (2025)
by: Jiang, Xuefeng, et al.
Published: (2025)
Similar Items
-
Uncovering Memorization Effect in the Presence of Spurious Correlations
by: You, Chenyu, et al.
Published: (2025) -
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels
by: You, Chenyu, et al.
Published: (2022) -
Learning Emergent Modular Representations in Multi-modality Medical Vision Foundation Models
by: He, Yuting, et al.
Published: (2026) -
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout
by: Zeevi, Tal, et al.
Published: (2025) -
Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration
by: Zhang, Xiaoran, et al.
Published: (2023)