| Benefits of Overparameterization in Single-Layer Latent Variable Generative Models | Sep 25, 2019 | Variational Inference | —Unverified | 0 |
| Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems | Dec 1, 2018 | Representation LearningVariational Inference | —Unverified | 0 |
| A Practical & Unified Notation for Information-Theoretic Quantities in ML | Jun 22, 2021 | Active LearningExperimental Design | —Unverified | 0 |
| Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise | Jan 3, 2023 | BenchmarkingClassification | —Unverified | 0 |
| Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks | Oct 25, 2023 | Conformal PredictionDecision Making | —Unverified | 0 |
| D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM | Jul 3, 2015 | parameter estimationVariational Inference | —Unverified | 0 |
| Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation | Dec 3, 2022 | Domain Adaptationdomain classification | —Unverified | 0 |
| Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder | May 16, 2024 | DecoderDiversity | —Unverified | 0 |
| Diversity-Promoting Bayesian Learning of Latent Variable Models | Nov 23, 2017 | DiversityMixture-of-Experts | —Unverified | 0 |
| β-CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck | Sep 12, 2022 | DisentanglementVariational Inference | —Unverified | 0 |
