Flat Posterior Does Matter For Bayesian Model Averaging
Fuente:
arXiv
Saved in:
| Main Authors: | Lim, Sungjun, Yeom, Jeyoon, Kim, Sooyon, Byun, Hoyoon, Kang, Jinho, Jung, Yohan, Jung, Jiyoung, Song, Kyungwoo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MIDUS: Memory-Infused Depth Up-Scaling
by: Kim, Taero, et al.
Published: (2025)
by: Kim, Taero, et al.
Published: (2025)
Graph Perceiver IO: A General Architecture for Graph Structured Data
by: Bae, Seyun, et al.
Published: (2022)
by: Bae, Seyun, et al.
Published: (2022)
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments
by: Lee, Heeyoung, et al.
Published: (2024)
by: Lee, Heeyoung, et al.
Published: (2024)
Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
by: Choi, Youngjun, et al.
Published: (2025)
by: Choi, Youngjun, et al.
Published: (2025)
Sufficient Invariant Learning for Distribution Shift
by: Kim, Taero, et al.
Published: (2022)
by: Kim, Taero, et al.
Published: (2022)
Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift
by: Lim, Sungjun, et al.
Published: (2026)
by: Lim, Sungjun, et al.
Published: (2026)
Uncertainty-driven Embedding Convolution
by: Lim, Sungjun, et al.
Published: (2025)
by: Lim, Sungjun, et al.
Published: (2025)
Robust Adaptation of Foundation Models with Black-Box Visual Prompting
by: Oh, Changdae, et al.
Published: (2024)
by: Oh, Changdae, et al.
Published: (2024)
Semi-Supervised Preference Optimization with Limited Feedback
by: Lee, Seonggyun, et al.
Published: (2025)
by: Lee, Seonggyun, et al.
Published: (2025)
P3T: Prototypical Point-level Prompt Tuning with Enhanced Generalization for 3D Vision-Language Models
by: Jung, Geunyoung, et al.
Published: (2026)
by: Jung, Geunyoung, et al.
Published: (2026)
Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models
by: Byun, Hoyoon, et al.
Published: (2025)
by: Byun, Hoyoon, et al.
Published: (2025)
Weighted Isolation and Random Cut Forest Algorithms for Anomaly Detection
by: Yeom, Sijin, et al.
Published: (2022)
by: Yeom, Sijin, et al.
Published: (2022)
TIDE: Temporal Incremental Draft Engine for Self-Improving LLM Inference
by: Park, Jiyoung, et al.
Published: (2026)
by: Park, Jiyoung, et al.
Published: (2026)
The Scaling Law of Evaluation Failure: Why Simple Averaging Collapses Under Data Sparsity and Item Difficulty Gaps, and How Item Response Theory Recovers Ground Truth Across Domains
by: Kang, Jung Min
Published: (2026)
by: Kang, Jung Min
Published: (2026)
A Theory of Machine Learning
by: Kim, Jinsook, et al.
Published: (2024)
by: Kim, Jinsook, et al.
Published: (2024)
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System
by: Jang, Hongsun, et al.
Published: (2024)
by: Jang, Hongsun, et al.
Published: (2024)
LBC: Language-Based-Classifier for Out-Of-Variable Generalization
by: Noh, Kangjun, et al.
Published: (2024)
by: Noh, Kangjun, et al.
Published: (2024)
GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters
by: Song, Jaeyong, et al.
Published: (2023)
by: Song, Jaeyong, et al.
Published: (2023)
FlatQuant: Flatness Matters for LLM Quantization
by: Sun, Yuxuan, et al.
Published: (2024)
by: Sun, Yuxuan, et al.
Published: (2024)
Multi-LLM Adaptive Conformal Inference for Reliable LLM Responses
by: Noh, Kangjun, et al.
Published: (2026)
by: Noh, Kangjun, et al.
Published: (2026)
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor
by: Jung, Jaewon, et al.
Published: (2024)
by: Jung, Jaewon, et al.
Published: (2024)
Adaptive Task Vectors for Large Language Models
by: Kang, Joonseong, et al.
Published: (2025)
by: Kang, Joonseong, et al.
Published: (2025)
Activation Quantization of Vision Encoders Needs Prefixing Registers
by: Kim, Seunghyeon, et al.
Published: (2025)
by: Kim, Seunghyeon, et al.
Published: (2025)
LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models
by: Kim, Chanyoung, et al.
Published: (2026)
by: Kim, Chanyoung, et al.
Published: (2026)
Input Adaptive Bayesian Model Averaging
by: Slavutsky, Yuli, et al.
Published: (2025)
by: Slavutsky, Yuli, et al.
Published: (2025)
Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness
by: Park, Subeen, et al.
Published: (2025)
by: Park, Subeen, et al.
Published: (2025)
Large-scale Score-based Variational Posterior Inference for Bayesian Deep Neural Networks
by: Kim, Minyoung
Published: (2026)
by: Kim, Minyoung
Published: (2026)
Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning
by: Kim, Hyeonjin, et al.
Published: (2026)
by: Kim, Hyeonjin, et al.
Published: (2026)
Posterior concentrations of fully-connected Bayesian neural networks with general priors on the weights
by: Kong, Insung, et al.
Published: (2024)
by: Kong, Insung, et al.
Published: (2024)
When Flatness Does (Not) Guarantee Adversarial Robustness
by: Walter, Nils Philipp, et al.
Published: (2025)
by: Walter, Nils Philipp, et al.
Published: (2025)
Revisiting Bayesian Model Averaging in the Era of Foundation Models
by: Park, Mijung
Published: (2025)
by: Park, Mijung
Published: (2025)
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions
by: Kim, Minkyu, et al.
Published: (2022)
by: Kim, Minkyu, et al.
Published: (2022)
Enhancing Visual Classification using Comparative Descriptors
by: Lee, Hankyeol, et al.
Published: (2024)
by: Lee, Hankyeol, et al.
Published: (2024)
LLM-Integrated Bayesian State Space Models for Multimodal Time-Series Forecasting
by: Cho, Sungjun, et al.
Published: (2025)
by: Cho, Sungjun, et al.
Published: (2025)
Does SGD Seek Flatness or Sharpness? An Exactly Solvable Model
by: Xu, Yizhou, et al.
Published: (2026)
by: Xu, Yizhou, et al.
Published: (2026)
Compressed Context Memory For Online Language Model Interaction
by: Kim, Jang-Hyun, et al.
Published: (2023)
by: Kim, Jang-Hyun, et al.
Published: (2023)
Stable On-Policy Distillation through Adaptive Target Reformulation
by: Jang, Ijun, et al.
Published: (2026)
by: Jang, Ijun, et al.
Published: (2026)
Label-Noise Robust Diffusion Models
by: Na, Byeonghu, et al.
Published: (2024)
by: Na, Byeonghu, et al.
Published: (2024)
Improving Generalization with Flat Hilbert Bayesian Inference
by: Truong, Tuan, et al.
Published: (2024)
by: Truong, Tuan, et al.
Published: (2024)
Pipette: Automatic Fine-grained Large Language Model Training Configurator for Real-World Clusters
by: Yim, Jinkyu, et al.
Published: (2024)
by: Yim, Jinkyu, et al.
Published: (2024)
Similar Items
-
MIDUS: Memory-Infused Depth Up-Scaling
by: Kim, Taero, et al.
Published: (2025) -
Graph Perceiver IO: A General Architecture for Graph Structured Data
by: Bae, Seyun, et al.
Published: (2022) -
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments
by: Lee, Heeyoung, et al.
Published: (2024) -
Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
by: Choi, Youngjun, et al.
Published: (2025) -
Sufficient Invariant Learning for Distribution Shift
by: Kim, Taero, et al.
Published: (2022)