Co-occurring keywords · papers mentioning both
Papers
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
NeurIPS 2024
REMEDI: Corrective Transformations for Improved Neural Entropy Estimation
ICML 2024
Representation Learning with Conditional Information Flow Maximization
ACL 2024
RMIB: Representation Matching Information Bottleneck for Matching Text Representations
ICML 2024
Self-supervised Weighted Information Bottleneck for Multi-view Clustering
IJCAI 2024
TimeX++: Learning Time-Series Explanations with Information Bottleneck
ICML 2024
Transformers need glasses! Information over-squashing in language tasks
NeurIPS 2024
Understanding and Leveraging the Learning Phases of Neural Networks
AAAI 2024
Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach
ICML 2024
Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based Games
ACL 2023
Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle
ICCV 2023
Combating Bilateral Edge Noise for Robust Link Prediction
NeurIPS 2023
Conditional Graph Information Bottleneck for Molecular Relational Learning
ICML 2023
Deep Graph Structural Infomax
AAAI 2023
Effective and Efficient Structural Inference with Reservoir Computing
ICML 2023
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck
CVPR 2023
Enlarging Instance-Specific and Class-Specific Information for Open-Set Action Recognition
CVPR 2023
Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective
ICCV 2023
Explanation Regeneration via Information Bottleneck
ACL 2023
GenerTTS: Pronunciation Disentanglement for Timbre and Style Generalization in Cross-Lingual Text-to-Speech
Interspeech 2023
How Does Information Bottleneck Help Deep Learning?
ICML 2023
Improving Adversarial Robustness via Information Bottleneck Distillation
NeurIPS 2023
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective
EMNLP 2023
Interpretable Geometric Deep Learning via Learnable Randomness Injection
ICLR 2023
Interpretable Prototype-based Graph Information Bottleneck
NeurIPS 2023