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information bottleneck

224 papers

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Also known as

2O-IB AIB MIB GIB IBA SIB IB VIB

Co-occurring keywords

representation learning (6174) mutual information (717) variational inference (2069) graph neural network (3945) self-supervised learning (3751) neural network (6616) adversarial robustness (1335) disentangled representation (516) knowledge distillation (3680) model compression (3283)

Papers

Multi-View Information-Bottleneck Representation Learning AAAI 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification ICML 2021
IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks AAAI 2021
Heterogeneous Graph Information Bottleneck IJCAI 2021
InfoGCL: Information-Aware Graph Contrastive Learning NIPS 2021
Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck CVPR 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization NIPS 2021
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition WACV 2021
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks EMNLP 2021
Detecting Beneficial Feature Interactions for Recommender Systems AAAI 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness NIPS 2021
EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle EMNLP 2021
Fair Representations by Compression AAAI 2021
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles AAAI 2021
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck NIPS 2021
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck NIPS 2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification CVPR 2021
EnD: Entangling and Disentangling Deep Representations for Bias Correction CVPR 2021
Unsupervised Skill Discovery with Bottleneck Option Learning ICML 2021
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information NIPS 2021
Parameterized Rate-Distortion Stochastic Encoder ICML 2020
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information ICML 2020
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback NIPS 2020
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification NIPS 2020