Michael C. Mozer
4 papers in the PaperMetrix corpus
Papers by this author
-
Improving Categorization Training with Structure-Sensitive Scheduling
2016 · Journal of Vision
Previous work on visual category training has demonstrated that the sequence of training trials can influence learning outcomes. Studies have compared blocked presentations (multiple examples of the same category in a row) to interleaved presentation …
-
Open-Ended Content-Style Recombination Via Leakage Filtering
2018 · arXiv (Cornell University)
We consider visual domains in which a class label specifies the content of an image, and class-irrelevant properties that differentiate instances constitute the style. We present a domain-independent method that permits the open-ended recombination of …
-
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
2021 · arXiv (Cornell University)
Inducing causal relationships from observations is a classic problem in machine learning. Most work in causality starts from the premise that the causal variables themselves are observed. However, for AI agents such as robots trying …
-
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
2021 · arXiv (Cornell University)
A discriminatively trained neural net classifier can fit the training data perfectly if all information about its input other than class membership has been discarded prior to the output layer. Surprisingly, past research has discovered …