Co-occurring keywords · papers mentioning both
Papers
What Makes for Good Views for Contrastive Learning?
NeurIPS 2020
Adaptive Estimators Show Information Compression in Deep Neural Networks
ICLR 2019
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
AISTATS 2019
Auto-Encoding Total Correlation Explanation
AISTATS 2019
Automated Model Selection with Bayesian Quadrature
ICML 2019
Avoiding Latent Variable Collapse with Generative Skip Models
AISTATS 2019
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
ICCV 2019
AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation
ICCV 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
NeurIPS 2019
Categorical Feature Compression via Submodular Optimization
ICML 2019
Caveats for information bottleneck in deterministic scenarios
ICLR 2019
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions
AAAI 2019
Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization
AAAI 2019
Database Alignment with Gaussian Features
AISTATS 2019
Deep Graph Infomax
ICLR 2019
Deep Spectral Clustering Using Dual Autoencoder Network
CVPR 2019
Efficient Bayesian Experimental Design for Implicit Models
AISTATS 2019
EMI: Exploration with Mutual Information
ICML 2019
End-to-End Automatic Speech Recognition with a Reconstruction Criterion Using Speech-to-Text and Text-to-Speech Encoder-Decoders
Interspeech 2019
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation
EMNLP 2019
Estimating Information Flow in Deep Neural Networks
ICML 2019
Exact Rate-Distortion in Autoencoders via Echo Noise
NeurIPS 2019
Game Design for Eliciting Distinguishable Behavior
NeurIPS 2019
GNNExplainer: Generating Explanations for Graph Neural Networks
NeurIPS 2019
High-Throughput Computation of Shannon Mutual Information on Chip
RSS 2019