Research Interests:

Experience and interest in one or more of the following areas is desirable:

Graph Neural Networks; Knowledge-based Neural Networks

Generative models (GANs, VAEs, invertible flows, Autoregressive Image models)

Language modelling - word / sentence embeddings

Self-supervised and unsupervised learning

Content-based Image retrieval;

Metric learning

Cognitive Science, perception, semantic understanding and parsing

Multi-task learning

Distributed and Large scale training

Active Learning; applied Reinforcement learning

Time series analysis; temporal hierarchies

Few-shot learning; domain adaptation

Meta-learning; Neural architecture search; model compression

Theoretical analysis of Neural Network architectures

Distributed and Large scale training

Applied ML for Computer Vision tasks (Classification, Regression, Segmentation, Detection, Recognition) on Images and Video