Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
Fuente:
arXiv
Saved in:
| Main Authors: | Choi, Wonjeong, Park, Jungwuk, Han, Dong-Jun, Park, Younghyun, Moon, Jaekyun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pruning-based Data Selection and Network Fusion for Efficient Deep Learning
by: Kousar, Humaira, et al.
Published: (2025)
by: Kousar, Humaira, et al.
Published: (2025)
SEAL: Scaling to Emphasize Attention for Long-Context Retrieval
by: Lee, Changhun, et al.
Published: (2025)
by: Lee, Changhun, et al.
Published: (2025)
Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis
by: Zehtabi, Shahryar, et al.
Published: (2025)
by: Zehtabi, Shahryar, et al.
Published: (2025)
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
by: Wi, Hyowon, et al.
Published: (2025)
by: Wi, Hyowon, et al.
Published: (2025)
WATS: Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling
by: Li, Xiaoyang, et al.
Published: (2025)
by: Li, Xiaoyang, et al.
Published: (2025)
Prediction of Sea Ice Velocity and Concentration in the Arctic Ocean using Physics-informed Neural Network
by: Koo, Younghyun, et al.
Published: (2025)
by: Koo, Younghyun, et al.
Published: (2025)
Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions
by: Shrestha, Sagar, et al.
Published: (2024)
by: Shrestha, Sagar, et al.
Published: (2024)
CURing Large Models: Compression via CUR Decomposition
by: Park, Sanghyeon, et al.
Published: (2025)
by: Park, Sanghyeon, et al.
Published: (2025)
Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks
by: Kim, Jeongmo, et al.
Published: (2025)
by: Kim, Jeongmo, et al.
Published: (2025)
Domain-Adaptive Health Indicator Learning with Degradation-Stage Synchronized Sampling and Cross-Domain Autoencoder
by: Choo, Jungho, et al.
Published: (2026)
by: Choo, Jungho, et al.
Published: (2026)
Scalable On-Policy Reinforcement Learning via Adaptive Batch Scaling
by: Park, Jongchan
Published: (2026)
by: Park, Jongchan
Published: (2026)
MIDUS: Memory-Infused Depth Up-Scaling
by: Kim, Taero, et al.
Published: (2025)
by: Kim, Taero, et al.
Published: (2025)
AIS-LLM: A Unified Framework for Maritime Trajectory Prediction, Anomaly Detection, and Collision Risk Assessment with Explainable Forecasting
by: Park, Hyobin, et al.
Published: (2025)
by: Park, Hyobin, et al.
Published: (2025)
Consistently Informative Soft-Label Temperature for Knowledge Distillation
by: Luong, Hoang-Chau, et al.
Published: (2026)
by: Luong, Hoang-Chau, et al.
Published: (2026)
Graph Neural Networks for Emulation of Finite-Element Ice Dynamics in Greenland and Antarctic Ice Sheets
by: Koo, Younghyun, et al.
Published: (2024)
by: Koo, Younghyun, et al.
Published: (2024)
Graph Neural Network as Computationally Efficient Emulator of Ice-sheet and Sea-level System Model (ISSM)
by: Koo, Younghyun, et al.
Published: (2024)
by: Koo, Younghyun, et al.
Published: (2024)
Calibrating Language Models with Adaptive Temperature Scaling
by: Xie, Johnathan, et al.
Published: (2024)
by: Xie, Johnathan, et al.
Published: (2024)
A Swap-Adversarial Framework for Improving Domain Generalization in Electroencephalography-Based Parkinson's Disease Prediction
by: Jin, Seongwon, et al.
Published: (2026)
by: Jin, Seongwon, et al.
Published: (2026)
Content-Style Identification via Differential Independence
by: Timilsina, Subash, et al.
Published: (2026)
by: Timilsina, Subash, et al.
Published: (2026)
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors
by: Tao, Linwei, et al.
Published: (2024)
by: Tao, Linwei, et al.
Published: (2024)
Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
by: Choi, Jeongwhan, et al.
Published: (2025)
by: Choi, Jeongwhan, et al.
Published: (2025)
Curriculum Guided Personalized Subgraph Federated Learning
by: Kang, Minku, et al.
Published: (2025)
by: Kang, Minku, et al.
Published: (2025)
Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models
by: Kim, Yeongmin, et al.
Published: (2026)
by: Kim, Yeongmin, et al.
Published: (2026)
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks
by: Jin, Zhibo, et al.
Published: (2024)
by: Jin, Zhibo, et al.
Published: (2024)
Possibility for Proactive Anomaly Detection
by: Jeon, Jinsung, et al.
Published: (2025)
by: Jeon, Jinsung, et al.
Published: (2025)
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series
by: Park, Min-Yeong, et al.
Published: (2025)
by: Park, Min-Yeong, et al.
Published: (2025)
Synthetic Mixed Training: Scaling Parametric Knowledge Acquisition Beyond RAG
by: Han, Seungju, et al.
Published: (2026)
by: Han, Seungju, et al.
Published: (2026)
Distilling Privileged Information for Dubins Traveling Salesman Problems with Neighborhoods
by: Shin, Min Kyu, et al.
Published: (2024)
by: Shin, Min Kyu, et al.
Published: (2024)
Uncertainty-Calibrated Spatiotemporal Field Diffusion with Sparse Supervision
by: Valencia, Kevin, et al.
Published: (2026)
by: Valencia, Kevin, et al.
Published: (2026)
Observation-Guided Diffusion Probabilistic Models
by: Kang, Junoh, et al.
Published: (2023)
by: Kang, Junoh, et al.
Published: (2023)
Chunk-Guided Q-Learning
by: Song, Gwanwoo, et al.
Published: (2026)
by: Song, Gwanwoo, et al.
Published: (2026)
Action-Sufficient Goal Representations
by: Hyeon, Jinu, et al.
Published: (2026)
by: Hyeon, Jinu, et al.
Published: (2026)
Effective Test-Time Scaling of Discrete Diffusion through Iterative Refinement
by: Lee, Sanghyun, et al.
Published: (2025)
by: Lee, Sanghyun, et al.
Published: (2025)
Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
by: Wu, Yuxuan, et al.
Published: (2024)
by: Wu, Yuxuan, et al.
Published: (2024)
Predicting Euler Characteristics and Constructing Topological Structure Using Machine Learning Techniques
by: Yu, Gyunghun, et al.
Published: (2026)
by: Yu, Gyunghun, et al.
Published: (2026)
CAMEL-CLIP: Channel-aware Multimodal Electroencephalography-text Alignment for Generalizable Brain Foundation Models
by: Choi, Hanseul, et al.
Published: (2026)
by: Choi, Hanseul, et al.
Published: (2026)
Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval
by: Hu, Tianle, et al.
Published: (2025)
by: Hu, Tianle, et al.
Published: (2025)
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
by: Ahn, Hongjoon, et al.
Published: (2025)
by: Ahn, Hongjoon, et al.
Published: (2025)
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
by: Wang, Song, et al.
Published: (2025)
by: Wang, Song, et al.
Published: (2025)
Hierarchy Representation of Data in Machine Learnings
by: Yegang, Han, et al.
Published: (2023)
by: Yegang, Han, et al.
Published: (2023)
Similar Items
-
Pruning-based Data Selection and Network Fusion for Efficient Deep Learning
by: Kousar, Humaira, et al.
Published: (2025) -
SEAL: Scaling to Emphasize Attention for Long-Context Retrieval
by: Lee, Changhun, et al.
Published: (2025) -
Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis
by: Zehtabi, Shahryar, et al.
Published: (2025) -
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
by: Wi, Hyowon, et al.
Published: (2025) -
WATS: Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling
by: Li, Xiaoyang, et al.
Published: (2025)