Energy-Based Models for Deep Probabilistic Regression

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Implicit Behavioral Cloning (2021, background): “In applications, 222 energy based models have recently shown state-of-the-art results across a number of domains, including 223 various computer vision tasks [35, 36], as well as generative modeling tasks such as image and text 224 generation [12, 37, 38].”
How to Train Your Energy-Based Model for Regression (2020, unknown): “NCE To match ML-IS, we set K = 3 in the noise distribution p N ( y | y i ) in (11).”
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving (2020, methodology): “[79] use a deep neural network to directly predict the conditional target density of an energy-based model.”
Energy-Based Models for Continual Learning (2020, background): “More broadly speaking, EBMs can go out of the scope of classification problems, and similar ideas can be applied to regression (Gustafsson et al., 2020), generation (Xie et al., 2016; Du et al., 2020), and reinforcement learning (Parshakova et al., 2019), although we do not explore them in this…”