awesome-ebm
Awesome EBM offers a curated collection of works on energy-based learning, including papers, workshops, and libraries. It serves as a crucial resource for researchers and practitioners delving into energy-based models. Key areas include data generation, density estimation, and adversarial robustness. Featuring reverse chronological research papers from noteworthy conferences such as NeurIPS and ICML, it provides a window into current advancements. Additionally, it underscores applications in image and language modeling, acting as an informative guide for implementing energy-based techniques.
