Your question is Handling Egocentric Data Noise. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How do you handle the challenges of data sparsity or noise when training models on egocentric datasets?