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Recent Comments
What a fantastic example of how curiosity-driven observations can lead to genuinely fascinating science. I really enjoyed the way the article connects something as familiar as a crushed soda can with advanced concepts like homoclinic snaking and pattern formation.
Really insightful article. I appreciated the focus on how much design choices actually shape the behavior and performance of self-supervised models. The point about interdependent decisions is particularly important, because many benchmark comparisons often isolate factors that, in practice, cannot really be separated.
I also found the discussion about in-domain vs. out-of-domain pretraining very interesting. It raises an important question about how much current SSL research is still unintentionally optimized around a small set of popular datasets like ImageNet rather than true generalization.
One thing I would be very curious about: based on your survey, which design choice do you think is currently most underestimated by researchers and practitioners when building SSL pipelines from scratch? Is there one factor that consistently has a larger impact than people expect?
Thanks for sharing both the technical insights and the perspective behind the research process itself.