Code and Data

Minimizing Decomposable Submodular Functions

• S. Jegelka, F. Bach and S. Sra. Reflection methods for user-friendly submodular optimization. NIPS, 2013.
• R. Nishihara, S. Jegelka and M.I. Jordan. On the Linear Convergence Rate of Decomposable Submodular Function Minimization. NIPS, 2014.
• * Code for the pairwise functions (graph cuts / TV) is available here (see TV2D_DR for the DR variant)
• * data used in the 2013 paper

Parallel Double Greedy Submodular Maximization

• X. Pan, S. Jegelka, J. Gonzalez, J. Bradley and M.I. Jordan. Parallel Double Greedy Submodular Maximization. NIPS, 2014.
• * Code is available here

Semidifferential-Based Submodular Optimization

• R. Iyer, S. Jegelka and J. Bilmes. Fast Semidifferential-based Submodular Function Optimization. ICML 2013
  * Code (by R. Iyer)

Weakly supervised Object Detection

• H.O. Song, R. Girshick, S. Jegelka, J. Mairal, Z. Harchaoui and T. Darrell. On learning to localize objects with minimum supervision. ICML 2014
  * Code (by H.O. Song)

Image Segmentation with Cooperative Cuts

• P. Kohli, A. Osokin and S. Jegelka. A principled deep random field for image segmentation. CVPR 2013
  * Code (by A. Osokin)
  


• S. Jegelka and J. Bilmes. Submodularity beyond Submodular Energies: Coupling Edges in Graph Cuts. CVPR 2011
  * *New code* with documentation and demo (by Evan Shelhamer)
  * Old code
  * Data
  

Fast Kernel ICA

• H. Shen, S. Jegelka and A. Gretton. Fast Kernel-based Independent Component Analysis. IEEE Transactions on Signal Processing, 2009
  * Code webpage