1st International Conference on Deep Learning Theory and Applications (DeLTA 2020)

Topics

• MACHINE LEARNING
  • Meta-Learning and Deep Networks
  • Active Learning
  • MAP Inference in Deep Networks
  • Deep Metric Learning Methods
  • Learning Deep Generative Models
  • Deep Reinforcement Learning
  • Graph Representation Learning
  • Deep Kernel Learning
  • Clustering, Classification and Regression
  • Gaussian Processes for Machine Learning
  • Classification Explainability
• MODELS AND ALGORITHMS
  • Sparse Coding
  • Recurrent Neural Network (RNN)
  • Evolutionary Methods
  • Neuro-Fuzzy Algorithms
  • Deep Hierarchical Networks (DHN)
  • Convolutional Neural Networks (CNN)
  • Unsupervised Feature Learning
  • Dimensionality Reduction
  • Generative Adversarial Networks (GAN)
  • Deep Boltzmann Machines
  • Deep Belief Networks
  • Autoencoders
• COMPUTER VISION APPLICATIONS
  • Object Detection
  • Image Classification
  • Facial Expression Analysis
  • Face Recognition
  • Human Pose Estimation
  • Action Recognition
  • Semantic Segmentation
  • Image Retrieval
  • Deep Image Denoising
• BIG DATA ANALYTICS
  • IoT and Smart Devices
  • Extracting Complex Patterns
  • Semantic Indexing
  • Security Threat Detection
  • Fast Information Retrieval
  • Data Tagging
  • Data Integration and Fusion
  • Scalability of Models
  • Streaming Data
  • High-Dimensional Data
  • Genomics and Bioinformatics
• NATURAL LANGUAGE UNDERSTANDING
  • Mobile Text Messaging Applications
  • Sentiment Analysis
  • Speech Interfaces
  • Question Answering Applications
  • Document Summarization
  • Language Translation
  • Recommender Systems
  • Content Filtering on Social Networks