Stephen Bach

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

Machine learning tools for massively multi-labeled networks

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

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

A framework for few-shot evaluation of autoregressive language models.

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

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

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

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

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