Information Bottleneck : Theory and Applications in Deep Learning

Information Bottleneck : Theory and Applications in Deep Learning

The celebrated information bottleneck (IB) principle of Tishby et al. has recently enjoyed renewed attention due to its application in the area of deep learning. This collection investigates the IB principle in this new context. The individual chapters in this collection: • provide novel insights in...

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Xehetasun bibliografikoak
Beste egile batzuk:	Geiger, Bernhard (Argitaratzailea), Kubin, Gernot (Argitaratzailea)
Formatua:	Liburu kapitulua
Argitaratua:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Gaiak:	Information technology industries information theory variational inference machine learning learnability information bottleneck representation learning conspicuous subset stochastic neural networks mutual information neural networks information bottleneck compression classification optimization classifier decision tree ensemble deep neural networks regularization methods information bottleneck principle deep networks semi-supervised classification latent space representation hand crafted priors learnable priors regularization deep learning
Sarrera elektronikoa:	Get Fullteks DOAB: description of the publication
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Antzeko izenburuak

Artificial Neural Networks as Models of Neural Information Processing
nork: Marcel van Gerven
Argitaratua: (2018)

Deep Learning for Facial Informatics
Argitaratua: (2020)

Chapter Risk Assessment and Automated Anomaly Detection Using a Deep Learning Architecture
nork: Thomopoulos, Stelios C.A
Argitaratua: (2021)

Collaborative Technologies and Data Science in Artificial Intelligence Applications
Argitaratua: (2020)

Applied Artificial Neural Networks
nork: Christian Dawson (Ed.)
Argitaratua: (2016)

Deep Learning for Toxicity and Disease Prediction
Argitaratua: (2020)

AI-Based Transportation Planning and Operation
Argitaratua: (2021)

Innovative Topologies and Algorithms for Neural Networks
Argitaratua: (2021)

Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
Argitaratua: (2021)

Ubiquitous Technologies for Emotion Recognition
Argitaratua: (2021)

Information Theory in Neuroscience
nork: Piasini, Eugenio
Argitaratua: (2019)

Deep Learning in Aging Neuroscience
Argitaratua: (2020)

Artificial Neural Networks and Evolutionary Computation in Remote Sensing
Argitaratua: (2021)

Big Data Analytics and Information Science for Business and Biomedical Applications
Argitaratua: (2022)

Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021
Argitaratua: (2021)

Computational Intelligence in Healthcare
Argitaratua: (2021)

Machine Learning/Deep Learning in Medical Image Processing
Argitaratua: (2021)

Spiking Neural Network Learning, Benchmarking, Programming and Executing
Argitaratua: (2020)

Advances in Intelligent Data Analysis XVIII : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings
Argitaratua: (2020)

Neural information processing with dynamical synapses
nork: Misha Tsodyks
Argitaratua: (2014)

Artificial Neural Networks in Agriculture
Argitaratua: (2021)

Chapter Deep Learning Training and Benchmarks for Earth Observation Images: Data Sets, Features, and Procedures
nork: Schwarz, Gottfried
Argitaratua: (2020)

Deep Learning Applications with Practical Measured Results in Electronics Industries
nork: Kung, Hsu-Yang
Argitaratua: (2020)

Statistical Methods for the Analysis of Genomic Data
Argitaratua: (2020)

Computational Optimizations for Machine Learning
Argitaratua: (2022)

New Advances at the Intersection of Brain-Inspired Learning and Deep Learning in Autonomous Vehicles and Robotics
Argitaratua: (2020)

Deep Learning in Medical Image Analysis
Argitaratua: (2021)

Learning to Understand Remote Sensing Images
nork: Wang, Qi
Argitaratua: (2019)

Learning to Understand Remote Sensing Images
nork: Wang, Qi
Argitaratua: (2019)

Optics for AI and AI for Optics
Argitaratua: (2020)

Advanced Applications for Artificial Neural Networks
nork: Adel El-Shahat
Argitaratua: (2018)

Sentiment Analysis for Social Media
nork: Moreno, Antonio
Argitaratua: (2020)

MaxEnt 2019-Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
nork: Von Toussaint, Udo
Argitaratua: (2020)

Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
Argitaratua: (2021)

Computation in Complex Networks
Argitaratua: (2021)

Statistical Machine Learning for Human Behaviour Analysis
Argitaratua: (2020)

Application of Artificial Neural Networks in Geoinformatics
nork: Saro Lee (Ed.)
Argitaratua: (2018)

Self Organizing Maps - Applications and Novel Algorithm Design
nork: Josphat Igadwa Mwasiagi
Argitaratua: (2011)

Artificial Neural Networks - Application
nork: Chi Leung Patrick Hui
Argitaratua: (2011)

Memristor and Memristive Neural Networks
nork: Alex Pappachen James
Argitaratua: (2018)