| On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond | Apr 20, 2020 | DecoderDialogue Generation | CodeCode Available | 0 | 5 |
| On the optimization and pruning for Bayesian deep learning | Oct 24, 2022 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Adaptive RKHS Fourier Features for Compositional Gaussian Process Models | Jul 1, 2024 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Orthogonally Decoupled Variational Gaussian Processes | Sep 24, 2018 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Deep Recurrent Generative Decoder for Abstractive Text Summarization | Aug 2, 2017 | Abstractive Text SummarizationDecoder | CodeCode Available | 0 | 5 |
| Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation | Nov 2, 2017 | Autonomous DrivingVariational Inference | CodeCode Available | 0 | 5 |
| GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies | Jul 7, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| GFlowNets and variational inference | Oct 2, 2022 | DiversityReinforcement Learning (RL) | CodeCode Available | 0 | 5 |
| Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference | Jun 15, 2018 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 | 5 |
| Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs) | Jun 9, 2016 | Document ClassificationVariational Inference | CodeCode Available | 0 | 5 |
| PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from Video | May 16, 2025 | Data AugmentationSelf-Supervised Learning | CodeCode Available | 0 | 5 |
| End-to-End Pixel-Based Deep Active Inference for Body Perception and Action | Dec 28, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference | Jun 6, 2015 | Small Data Image ClassificationVariational Inference | CodeCode Available | 0 | 5 |
| Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India | Dec 13, 2017 | BIG-bench Machine LearningVariational Inference | CodeCode Available | 0 | 5 |
| Globally Convergent Variational Inference | Jan 14, 2025 | Variational Inference | CodeCode Available | 0 | 5 |
| Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | May 12, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 | 5 |
| Enhanced Variational Inference with Dyadic Transformation | Jan 30, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Generating Neural Networks with Neural Networks | Jan 6, 2018 | DiversityVariational Inference | CodeCode Available | 0 | 5 |
| Gaussian Process-Gated Hierarchical Mixtures of Experts | Feb 9, 2023 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Generalized Variational Inference: Three arguments for deriving new Posteriors | Apr 3, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter | Oct 17, 2020 | DiversityState Space Models | CodeCode Available | 0 | 5 |
| Entity Abstraction in Visual Model-Based Reinforcement Learning | Oct 28, 2019 | modelModel-based Reinforcement Learning | CodeCode Available | 0 | 5 |
| Generative Adversarial Networks with Decoder-Encoder Output Noise | Jul 11, 2018 | DecoderImage Generation | CodeCode Available | 0 | 5 |
| Function Space Particle Optimization for Bayesian Neural Networks | Feb 26, 2019 | Reinforcement LearningVariational Inference | CodeCode Available | 0 | 5 |
| Deep Markov Spatio-Temporal Factorization | Mar 22, 2020 | ClusteringTime Series | CodeCode Available | 0 | 5 |
