:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yan, Yang, Wang, Qiuyan, Huang, Tianjin, Yu, Qiudong, Zhang, Kexin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2604.10882
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Glocal Information Bottleneck for Time Series Imputation
by: Yang, Jie, et al.
Published: (2025)

Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2026)

Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
by: Mao, Wenyu, et al.
Published: (2024)

Robust Multimodal Sentiment Analysis via Double Information Bottleneck
by: Huang, Huiting, et al.
Published: (2025)

Harnessing LLMs for Cross-City OD Flow Prediction
by: Yu, Chenyang, et al.
Published: (2024)

Empowering Heterogeneous Graph Foundation Models via Decoupled Relation Alignment
by: Zheng, Ziyu, et al.
Published: (2026)

Causally-Aware Information Bottleneck for Domain Adaptation
by: Javidian, Mohammad Ali
Published: (2026)

Federated Graph Condensation with Information Bottleneck Principles
by: Yan, Bo, et al.
Published: (2024)

Decoupled Alignment for Robust Plug-and-Play Adaptation
by: Luo, Haozheng, et al.
Published: (2024)

Dynamic Graph Information Bottleneck
by: Yuan, Haonan, et al.
Published: (2024)

Online Policy Distillation with Decision-Attention
by: Yu, Xinqiang, et al.
Published: (2024)

MLGIB: Multi-Label Graph Information Bottleneck for Expressive and Robust Message Passing
by: Wu, Chaokai, et al.
Published: (2026)

Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation
by: Chen, Ge, et al.
Published: (2024)

Margin-Adaptive Confidence Ranking for Reliable LLM Judgement
by: Jin, Gaojie, et al.
Published: (2026)

Scale Decoupled Distillation
by: Luo, Shicai Wei Chunbo Luo Yang
Published: (2024)

DDTime: Dataset Distillation with Spectral Alignment and Information Bottleneck for Time-Series Forecasting
by: Li, Yuqi, et al.
Published: (2025)

Online Adversarial Knowledge Distillation for Graph Neural Networks
by: Wang, Can, et al.
Published: (2021)

GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck
by: Li, Shuangjie, et al.
Published: (2024)

Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising
by: Yan, Kangjia, et al.
Published: (2025)

Interpretable Prototype-based Graph Information Bottleneck
by: Seo, Sangwoo, et al.
Published: (2023)

Time Series Domain Adaptation via Latent Invariant Causal Mechanism
by: Cai, Ruichu, et al.
Published: (2025)

Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning
by: Zhang, Bowen, et al.
Published: (2024)

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization
by: Li, Xinyu, et al.
Published: (2025)

Revisiting LLM Reasoning via Information Bottleneck
by: Lei, Shiye, et al.
Published: (2025)

FlowDistill: Scalable Traffic Flow Prediction via Distillation from LLMs
by: Yu, Chenyang, et al.
Published: (2025)

Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
by: Liu, Rui, et al.
Published: (2025)

Graph Information Bottleneck for Remote Sensing Segmentation
by: Shou, Yuntao, et al.
Published: (2023)

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models
by: He, Chengbo, et al.
Published: (2025)

Generalizable Speech Deepfake Detection via Information Bottleneck Enhanced Adversarial Alignment
by: Huang, Pu, et al.
Published: (2025)

IIB-LPO: Latent Policy Optimization via Iterative Information Bottleneck
by: Deng, Huilin, et al.
Published: (2026)

Revealing Combinatorial Reasoning of GNNs via Graph Concept Bottleneck Layer
by: Niu, Yue, et al.
Published: (2026)

Robust Multimodal Learning via Representation Decoupling
by: Wei, Shicai, et al.
Published: (2024)

Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
by: Xiong, Jiafeng, et al.
Published: (2025)

Learning Fair Graph Representations with Multi-view Information Bottleneck
by: Liu, Chuxun, et al.
Published: (2025)

GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
by: Zeng, Fanlong, et al.
Published: (2025)

MemFly: On-the-Fly Memory Optimization via Information Bottleneck
by: Zhang, Zhenyuan, et al.
Published: (2026)

Stability-Preserving Online Adaptation of Neural Closed-loop Maps
by: Saccani, Danilo, et al.
Published: (2026)

HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily
by: Li, Xinyi, et al.
Published: (2026)

LLM-Guided Reinforcement Learning: Addressing Training Bottlenecks through Policy Modulation
by: Tan, Heng, et al.
Published: (2025)

GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention
by: Yan, Junchi, et al.
Published: (2024)