Deep Learning applied to a broad spectrum of data- and domain-specific research fields, with focus on a wide portfolio of novel and distinct algorithmic deep learning concepts:
- Data:
- Images
- Acoustics
- Machine & Sensor Signals
- Text Data
- Domain:
- Computer Vision
- Acoustic Sound Analysis
- Machine Signal Processing
- Natural Language Processing
- Deep Learning Concept:
- Transfer Learning
- Contrastive Learning
- Distillation Learning
- Federated Learning
- Supervised, Semi-Supervised & Unsupervised Learning
- Self-Supervised Learning
- Generative Learning
- Single-/Zero-/Few-Shot Learning
- Representation Learning
- Multimodal Learning
- Causal Deep Learning
- Reinforcement Learning
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