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Aug 28 2013 - ICCV2013

My work on test-time model selection will be published at the upcoming ICCV conference in December.

Feb 24 2013 - CVPR2013

My foray into image segmentation (SCALPEL) will be published at the upcoming CVPR conference in June.

June 17 2012 - CVPR2012

I am presenting work at the Workshop on Gesture Recogntion, where we achieved 2nd place in the CHALEARN One-shot Learning Challenge.

Feb 21 2011 - CVPR2011

I am co-author on a paper that was accepted for oral presentation at CVPR2011.

Aug 20 2010 - NIPS2010

I am co-organizing the NIPS 2010 workshop on Coarse-to-Fine Learning and Inference.

July 28 2009 - NY Times!

Dinosaur Planet is in the New York Times!

July 26, 2009 - Netflix!!

Along with the rest of The Ensemble, I finished in first place on the Netflix Prize Leaderboard at the end of the competition! We may or may not have won the prize, but it is a major accomplishment and a strong argument for the benefits of open collaboration. See my Netflix page for more.

February 6, 2009 - Update

I finally updated the website with a slightly tweaked design, better fonts and up-to-date content.

about me

Update 2/10/2014: I have now started at Google as a Research Scientist!

Previously, I was a graduate student in the Computer and Information Science (CIS) Department at the University of Pennsylvania. I was advised by Ben Taskar.

I do research in machine learning and specialize in computer vision and natural language processing. My research focuses on enabling more complex models via efficient, practical learning and inference procedures. I co-organized the NIPS 2010 workshop on Coarse-to-Fine Learning and Inference. I still enjoy neuroscience (as is my background); ultimately, I hope to promote the integration of machine learning and neuroscience, and to change the way we analyze and understand our minds.

I am currently a member of the GRASP Lab and the Penn Research in Machine Learning (PRIML) research groups. Previously, I was a research specialist at the Princeton Computational Memory Lab. I graduated from Princeton University with a degree in Computer Science and a certificate in Neuroscience in 2007, advised by Dave Blei (CS) and Ken Norman (Psychology).

In my spare time, I enjoy partaking in machine learning competitions. Most recently, I won 2nd place in the CHALEARN Gesture Challenge as part of Team Pennect. Before that, I was a member of Team Dinosaur Planet, Grand Prize Team, and The Ensemble, the greatest Netflix Prize wrecking crew ever created. Our team was written up in the New York Times.

Finally, I'm also a founding software developer of MedForward Inc. and maintain several software packages of my own. I also contributed significantly to the MVPA Toolbox for Matlab.

highlighted projects

publications

  • PDF | Poster
    Code TBA
    Learning adaptive value of information for structured prediction.
    David Weiss and Ben Taskar.
    Neural Information Processing Systems (NIPS), December 2013.
  • PDF | Poster
    Code TBA
    Dynamic structured model selection.
    David Weiss, Benjamin Sapp, and Ben Taskar.
    International Conference on Computer Vision (ICCV), December 2013.
  • PDF
    Code
    SCALPEL: Segmentation CAscasdes with Localized Priors and Efficient Learning.
    David Weiss and Ben Taskar.
    Computer Vision and Pattern Recognition (CVPR), June 2013.
  • PDF Structured Prediction Cascades.
    David Weiss, Benjamin Sapp, and Ben Taskar.
    Pre-print; under review at JMLR.
  • PDF
    Slides
    Code
    Parsing Human Motion with Stretchable Models.
    Benjamin Sapp, David Weiss, and Ben Taskar.
    Computer Vision and Pattern Recognition (CVPR), June 2011.
    (Oral presentation, 3.5% acceptance)
  • PDF | Supp. Info
    Poster
    Code
    Sidestepping Intractable Inference with Structured Ensemble Cascades.
    David Weiss, Benjamin Sapp, and Ben Taskar.
    Neural Information Processing Systems (NIPS), December 2010.
  • PDF | Supp. Info
    Code
    Mixed Membership Matrix Factorization.
    Lester Mackey, David Weiss, and Michael I. Jordan.
    International Conference on Machine Learning (ICML), June 2010.
  • PDF
    Poster
    Code
    Structured Prediction Cascades.
    David Weiss and Ben Taskar.
    International Conference on Artificial Intelligence and Statistics (AISTATS), May 2010.
  • URL Listening for recollection: A multi-voxel pattern analysis of recognition memory retrieval strategies.
    Joel R. Quamme, David J. Weiss, and Kenneth A. Norman.
    Frontiers in Human Neuroscience, 4(0), 2010.
  • PDF Probabilistic Additive Component Analysis: A Latent Variable Model for Dimensionality Reduction of Human fMRI Datasets.
    David Weiss. Senior Thesis, Princeton University, May 2007.
  • PDF Haptic Rendering of Tissue Cutting with Scissors in a Virtual Environment.
    David Weiss and Alison Okamura.
    Medicine Meets Virtual Reality 12, J.D. Westwood, et al. (Eds.), IOS Press, 2004, pp. 407-409.