My Collaborator did a great job giving a talk on our research at the local San Francisco Bay ACM Meetup … More
Category: Uncategorized
Heavy Tailed Self Regularization in Deep Neural Nets: 1 year of research
My talk at ICSI-the International Computer Science Institute at UC Berkeley. ICSI is a leading independent, nonprofit center for research … More
Don’t Peek part 2: Predictions without Test Data
This is a followup to a previous post: DON’T PEEK: DEEP LEARNING WITHOUT LOOKING … AT TEST DATA The idea…suppose … More
Machine Learning and AI for the Lean Start Up
Machine Learning and AI for the Lean Start Up My recent talk at the French Tech Hub Startup Accelerator
Don’t Peek: Deep Learning without looking … at test data
What is the purpose of a theory ? To explain why something works. Sure. But what good is a theory … More
Rank Collapse in Deep Learning
We can learn a lot about Why Deep Learning Works by studying the properties of the layer weight matrices of … More
Power Laws in Deep Learning 2: Universality
Power Law Distributions in Deep Learning In a previous post, we saw that the Fully Connected (FC) layers of the … More
Power Laws in Deep Learning
Why Does Deep Learning Work ? If we could get a better handle on this, we could solve some very … More
Self-Regularization in Deep Neural Networks: a preview
Why Deep Learning Works: Self Regularization in DNNs An early talk describing details in this paper Implicit Self-Regularization in Deep … More
Rethinking–or Remembering–Generalization in Neural Networks
I just got back from ICLR 2019 and presented 2 posters, (and Michael gave a great talk!) at the Theoretical … More
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