Abdul Kazeem Shamba
Forskning
Norwegian Research Center for AI Innovation (NorwAI)
NorwAI is the largest academic initiative on AI innovation in Norway. Hosted at NTNU in Trondheim, the center coordinates research and innovation activities among three universities, two research institutes and 11 companies.
Norwegian Open AI Lab (NAIL)
The Norwegian Open Artificial Intelligence Lab (NAIL) is a hub for research, education and innovation within AI. The center is hosted by the Faculty of Information Technology and Electrical Engineering at NTNU in Trondheim.
Publikasjoner
Divide and Contrast: Learning Robust Temporal Features without Augmentation
Divide and Contrast (Di-COT) is an unsupervised framework that avoids data augmentation and multiple encoder passes by contrasting informative substructures within a window rather than individual timesteps.
Learning by Shifting: Temporal View Construction for Time Series Contrastive Learning
We show that explicitly encoding temporal shift invariance through a simple, deterministic view construction is sufficient to learn strong representations for time series classification.
eMargin: Revisiting Contrastive Learning with Margin-Based Separation
We revisit previous contrastive learning frameworks to investigate the effect of introducing an adaptive margin into the contrastive loss function for time series representation learning.