Uncertainty-driven Embedding Convolution
Fuente:
arXiv
Guardado en:
| Autores principales: | Lim, Sungjun, Noh, Kangjun, Choi, Youngjun, Lee, Heeyoung, Song, Kyungwoo |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
por: Choi, Youngjun, et al.
Publicado: (2025)
por: Choi, Youngjun, et al.
Publicado: (2025)
Multi-LLM Adaptive Conformal Inference for Reliable LLM Responses
por: Noh, Kangjun, et al.
Publicado: (2026)
por: Noh, Kangjun, et al.
Publicado: (2026)
Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift
por: Lim, Sungjun, et al.
Publicado: (2026)
por: Lim, Sungjun, et al.
Publicado: (2026)
Semi-Supervised Preference Optimization with Limited Feedback
por: Lee, Seonggyun, et al.
Publicado: (2025)
por: Lee, Seonggyun, et al.
Publicado: (2025)
LBC: Language-Based-Classifier for Out-Of-Variable Generalization
por: Noh, Kangjun, et al.
Publicado: (2024)
por: Noh, Kangjun, et al.
Publicado: (2024)
MIDUS: Memory-Infused Depth Up-Scaling
por: Kim, Taero, et al.
Publicado: (2025)
por: Kim, Taero, et al.
Publicado: (2025)
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments
por: Lee, Heeyoung, et al.
Publicado: (2024)
por: Lee, Heeyoung, et al.
Publicado: (2024)
Sufficient Invariant Learning for Distribution Shift
por: Kim, Taero, et al.
Publicado: (2022)
por: Kim, Taero, et al.
Publicado: (2022)
Uncertainty Estimation by Flexible Evidential Deep Learning
por: Yoon, Taeseong, et al.
Publicado: (2025)
por: Yoon, Taeseong, et al.
Publicado: (2025)
Flat Posterior Does Matter For Bayesian Model Averaging
por: Lim, Sungjun, et al.
Publicado: (2024)
por: Lim, Sungjun, et al.
Publicado: (2024)
Uncertainty Estimation by Density Aware Evidential Deep Learning
por: Yoon, Taeseong, et al.
Publicado: (2024)
por: Yoon, Taeseong, et al.
Publicado: (2024)
Courtroom Analogy: New Perspective on Uncertainty-Aware Classification
por: Yoon, Taeseong, et al.
Publicado: (2026)
por: Yoon, Taeseong, et al.
Publicado: (2026)
Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness
por: Park, Subeen, et al.
Publicado: (2025)
por: Park, Subeen, et al.
Publicado: (2025)
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization
por: Song, Youngjun, et al.
Publicado: (2025)
por: Song, Youngjun, et al.
Publicado: (2025)
DAMEL: Dual-Axis Multi-Expert Learning for Class-Imbalanced Learning
por: Lee, Hyuck, et al.
Publicado: (2026)
por: Lee, Hyuck, et al.
Publicado: (2026)
Multimodal Deep Generative Model for Semi-Supervised Learning under Class Imbalance
por: Yoon, Heegeon, et al.
Publicado: (2026)
por: Yoon, Heegeon, et al.
Publicado: (2026)
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning
por: Kim, Seyeon, et al.
Publicado: (2024)
por: Kim, Seyeon, et al.
Publicado: (2024)
GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced Driver Assistance System
por: Lee, Kangjun, et al.
Publicado: (2024)
por: Lee, Kangjun, et al.
Publicado: (2024)
Multi-lingual Multi-institutional Electronic Health Record based Predictive Model
por: Hur, Kyunghoon, et al.
Publicado: (2026)
por: Hur, Kyunghoon, et al.
Publicado: (2026)
Graph Perceiver IO: A General Architecture for Graph Structured Data
por: Bae, Seyun, et al.
Publicado: (2022)
por: Bae, Seyun, et al.
Publicado: (2022)
On the Similarities of Embeddings in Contrastive Learning
por: Lee, Chungpa, et al.
Publicado: (2025)
por: Lee, Chungpa, et al.
Publicado: (2025)
Federated Learning for Face Recognition via Intra-subject Self-supervised Learning
por: Kim, Hansol, et al.
Publicado: (2024)
por: Kim, Hansol, et al.
Publicado: (2024)
Decomposing Uncertainty in Probabilistic Knowledge Graph Embeddings: Why Entity Variance Is Not Enough
por: Lee, Chorok
Publicado: (2025)
por: Lee, Chorok
Publicado: (2025)
Simultaneous Long-tailed Recognition and Multi-modal Fusion for Highly Imbalanced Multi-modal Data
por: Yoon, Heegeon, et al.
Publicado: (2026)
por: Yoon, Heegeon, et al.
Publicado: (2026)
CD-Buffer: Complementary Dual-Buffer Framework for Test-Time Adaptation in Adverse Weather Object Detection
por: Song, Youngjun, et al.
Publicado: (2026)
por: Song, Youngjun, et al.
Publicado: (2026)
QTALE: Quantization-Robust Token-Adaptive Layer Execution for LLMs
por: Noh, Kanghyun, et al.
Publicado: (2026)
por: Noh, Kanghyun, et al.
Publicado: (2026)
Adaptive Task Vectors for Large Language Models
por: Kang, Joonseong, et al.
Publicado: (2025)
por: Kang, Joonseong, et al.
Publicado: (2025)
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
por: Kim, Doyoung, et al.
Publicado: (2023)
por: Kim, Doyoung, et al.
Publicado: (2023)
Quantile-Free Uncertainty Quantification in Graph Neural Networks
por: park, Soyoung, et al.
Publicado: (2026)
por: park, Soyoung, et al.
Publicado: (2026)
Towards Understanding the Relationship between In-context Learning and Compositional Generalization
por: Han, Sungjun, et al.
Publicado: (2024)
por: Han, Sungjun, et al.
Publicado: (2024)
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
por: Oh, Changdae, et al.
Publicado: (2024)
por: Oh, Changdae, et al.
Publicado: (2024)
Robust Adaptation of Foundation Models with Black-Box Visual Prompting
por: Oh, Changdae, et al.
Publicado: (2024)
por: Oh, Changdae, et al.
Publicado: (2024)
Cosine Scoring with Uncertainty for Neural Speaker Embedding
por: Wang, Qiongqiong, et al.
Publicado: (2024)
por: Wang, Qiongqiong, et al.
Publicado: (2024)
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
por: Cha, Sungmin, et al.
Publicado: (2024)
por: Cha, Sungmin, et al.
Publicado: (2024)
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers
por: Cha, Sungmin, et al.
Publicado: (2023)
por: Cha, Sungmin, et al.
Publicado: (2023)
Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models
por: Byun, Hoyoon, et al.
Publicado: (2025)
por: Byun, Hoyoon, et al.
Publicado: (2025)
References Indeed Matter? Reference-Free Preference Optimization for Conversational Query Reformulation
por: Kim, Doyoung, et al.
Publicado: (2025)
por: Kim, Doyoung, et al.
Publicado: (2025)
Sparse Bayesian Message Passing under Structural Uncertainty
por: Choi, Yoonhyuk, et al.
Publicado: (2026)
por: Choi, Yoonhyuk, et al.
Publicado: (2026)
Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning
por: Ding, Wenhao, et al.
Publicado: (2025)
por: Ding, Wenhao, et al.
Publicado: (2025)
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
por: Park, Byoungwoo, et al.
Publicado: (2024)
por: Park, Byoungwoo, et al.
Publicado: (2024)
Ejemplares similares
-
Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
por: Choi, Youngjun, et al.
Publicado: (2025) -
Multi-LLM Adaptive Conformal Inference for Reliable LLM Responses
por: Noh, Kangjun, et al.
Publicado: (2026) -
Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift
por: Lim, Sungjun, et al.
Publicado: (2026) -
Semi-Supervised Preference Optimization with Limited Feedback
por: Lee, Seonggyun, et al.
Publicado: (2025) -
LBC: Language-Based-Classifier for Out-Of-Variable Generalization
por: Noh, Kangjun, et al.
Publicado: (2024)