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Stephen Bach's Projects

admm-speed-test icon admm-speed-test

Compares ADMM and an interior-point method on MAP inference for HL-MRFs.

bach-aistats15-code icon bach-aistats15-code

Code for "Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees." Stephen H. Bach, Bert Huang, and Lise Getoor. Artificial Intelligence and Statistics (AISTATS) 2015

bach-jmlr17-code icon bach-jmlr17-code

Code for "Hinge-loss Markov Random Fields and Probabilistic Soft Logic." Stephen H. Bach, Matthias Broecheler, Bert Huang, and Lise Getoor. JMLR 2017.

bach-uai13-code icon bach-uai13-code

Code for "Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction." Stephen H. Bach, Bert Huang, Ben London, and Lise Getoor. Uncertainty in Artificial Intelligence (UAI) 2013

biomedical icon biomedical

Tools for curating biomedical training data for large-scale language modeling

clipseg icon clipseg

This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mmln icon mmln

Machine learning tools for massively multi-labeled networks

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