Co-occurring keywords · papers mentioning both
Papers
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
NeurIPS 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
NeurIPS 2021
Robust Predictable Control
NeurIPS 2021
Temporal Action Detection With Multi-Level Supervision
ICCV 2021
Unsupervised Hashing with Contrastive Information Bottleneck
IJCAI 2021
Unsupervised Skill Discovery with Bottleneck Option Learning
ICML 2021
Variational Information Bottleneck Based Regularization for Speaker Recognition
Interspeech 2021
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers
AAAI 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
EMNLP 2020
BiDet: An Efficient Binarized Object Detector
CVPR 2020
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
ICML 2020
Disentangled Representations for Sequence Data using Information Bottleneck Principle
ACML 2020
Graph Information Bottleneck
NeurIPS 2020
Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction
EMNLP 2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
NeurIPS 2020
Inserting Information Bottlenecks for Attribution in Transformers
EMNLP 2020
Invariant Representations through Adversarial Forgetting
AAAI 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
NeurIPS 2020
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
ICML 2020
Learning Optimal Representations with the Decodable Information Bottleneck
NeurIPS 2020
Learning Robust Representations via Multi-View Information Bottleneck
ICLR 2020
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
ICML 2020
Learning Task-Driven Control Policies via Information Bottlenecks
RSS 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
NeurIPS 2020
Mutual Information Gradient Estimation for Representation Learning
ICLR 2020