1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations?
Mark Ibrahim, David Klindt, Randall Balestriero
Deep Learning is often depicted as a trio of data-architecture-loss. Yet, recent Self Supervised Learning (SSL) solutions have introduced numerous additional design choices, e.g.,…
stat.ML2023★ 1 cited
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems
David Klindt, Sophia Sanborn, Francisco Acosta +2
Single neurons in neural networks are often interpretable in that they represent individual, intuitively meaningful features. However, many neurons exhibit $\textit{mixed selectivi…