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| Learning Conditional Variational Autoencoders with Missing Covariates | Mar 2, 2022 | Missing ValuesVariational Inference | —Unverified | 0 |
| Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization | Mar 27, 2019 | Variational Inference | —Unverified | 0 |
| Learning Distributions over Permutations and Rankings with Factorized Representations | May 30, 2025 | Combinatorial OptimizationRe-Ranking | —Unverified | 0 |
| Learning Distributions via Monte-Carlo Marginalization | Aug 11, 2023 | DecoderDensity Estimation | —Unverified | 0 |
| Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future | Mar 5, 2019 | Imitation LearningModel-based Reinforcement Learning | —Unverified | 0 |
| Learning from demonstration using products of experts: applications to manipulation and task prioritization | Oct 7, 2020 | Variational Inference | —Unverified | 0 |
| Learning From Unpaired Data: A Variational Bayes Approach | Sep 29, 2021 | DenoisingImage Denoising | —Unverified | 0 |
| Learning Generalizable Latent Representations for Novel Degradations in Super Resolution | Jul 25, 2022 | Blind Super-ResolutionImage Super-Resolution | —Unverified | 0 |
| Learning Hard Alignments with Variational Inference | May 16, 2017 | Hard AttentionImage Captioning | —Unverified | 0 |