Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative
Priors

Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors

20 May 2022

Ravid Shwartz-Ziv

Sanyam Kapoor

Papers citing "Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors"

7 / 7 papers shown

Title
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification Kumar Manas Christian Schlauch Adrian Paschke Christian Wirth Nadja Klein 37 0 0 17 Apr 2025
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective Ethan Harvey Mikhail Petrov Michael C. Hughes 40 0 0 28 Jan 2025
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks Yunzhen Feng Tim G. J. Rudner Nikolaos Tsilivis Julia Kempe AAML BDL 43 1 0 27 Apr 2024
Probabilistic Multi-Layer Perceptrons for Wind Farm Condition Monitoring Filippo Fiocchi Domna Ladopoulou P. Dellaportas 39 1 0 25 Apr 2024
Reverse Engineering Self-Supervised Learning Ido Ben-Shaul Ravid Shwartz-Ziv Tomer Galanti S. Dekel Yann LeCun SSL 15 34 0 24 May 2023
The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation Mutian He Philip N. Garner 36 4 0 16 May 2023
Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning Junyu Xuan Jie Lu Guangquan Zhang BDL 148 7 0 27 Sep 2021