Presentations

Efficient Interactive Deep Learning with Humans in the Loop
Zachary C. Lipton
The 8th Annual Henry Taub TCE Conference | Deep Learning: Theory & Practice
PDF

Detecting and Correcting for Label Shift with Black Box Predictors
Zachary C. Lipton, Yu-Xiang Wang, Alex Smola
Machine Learning Department Faculty Seminar @ Carnegie Mellon University
PDF

Predicting Surgery Duration with Neural Heteroscedastic Regression (Spotlight Talk)
Nathan Ng, Rodney A Gabriel, Julian McAuley, Charles Elkan, Zachary C Lipton
Machine Learning for Healthcare (MLHC 2017)
PDF

The Mythos of Model Interpretability - NYU/AIAIAI Version
Zachary C. Lipton
Algorithms and Explanations (NYU), AIAIAI (Oslo)
PDF

Finding Structure in Time Series Data
Zachary C. Lipton
Carnegie Mellon
PDF

Shallow Learning (Part 1)
Zachary C. Lipton
UCSD CSE 258
PDF

Shallow Learning (Part 2)
Zachary C. Lipton
UCSD CSE 258
PDF

The Mythos of Model Interpretability
Zachary C. Lipton
Machine Learning for Healthcare (MLHC 2016)
PDF

A Critical Review of Recurrent Neural Networks for Sequence Learning
Zachary C. Lipton
UCSD Research Exam
PDF

zlipton [at] cmu [dot] edu