'True label' presentation slideshows

MaxEnt : Training, Smoothing, Tagging

MaxEnt : Training, Smoothing, Tagging. Advanced Statistical Methods in NLP Ling572 February 7, 2012. Roadmap. Maxent : Training Smoothing Case study: POS Tagging ( redux ) Beam search. Training. Training. Learn ?s from training data. Training. Learn ?s from training data

1.25k views • 104 slides

Example

Example. 16,000 documents 100 topic Picked those with large p(w|z). New document?. Given a new document, compute and words allocated to each topic approximates p ( z n | w ) See cases where these values are relatively large 4 topics found. Unseen document (contd.).

422 views • 28 slides

Stack Machine ISA

476 views • 19 slides

Deep Neural Networks as 0-1 Mixed Integer Linear Programs: A feasibility study

Deep Neural Networks as 0-1 Mixed Integer Linear Programs: A feasibility study. Matteo Fischetti , University of Padova Jason Jo , Montreal Institute for Learning Algorithms (MILA). Machine Learning. Example (MIPpers only!): Continuous 0-1 Knapack Problem with a fixed n. of items.

177 views • 17 slides

Artifacts of Adversarial Examples

Artifacts of Adversarial Examples. Reuben Feinman reuben.feinman@nyu.edu. Motivation. Something fundamentally interesting about the adversarial example phenomenon Adversarial examples are pathological

170 views • 15 slides

Efficiently Learning the Accuracy of Labeling Sources for Selective Sampling

147 views • 14 slides