| In situ bidirectional human-robot value alignment | 0 | 0.34 | 2022 |
| MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC | 0 | 0.34 | 2022 |
| Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning | 0 | 0.34 | 2022 |
| Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering | 0 | 0.34 | 2022 |
| Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis | 1 | 0.37 | 2022 |
| SAS: Self-Augmentation Strategy for Language Model Pre-training. | 0 | 0.34 | 2022 |
| Latent Diffusion Energy-Based Model for Interpretable Text Modelling. | 0 | 0.34 | 2022 |
| Iterative Teacher-Aware Learning. | 0 | 0.34 | 2021 |
| Generative Text Modeling through Short Run Inference. | 0 | 0.34 | 2021 |
| Extraction of an Explanatory Graph to Interpret a CNN | 1 | 0.34 | 2021 |
| Unsupervised Foreground Extraction via Deep Region Competition. | 0 | 0.34 | 2021 |
| Learning Energy-Based Models by Diffusion Recovery Likelihood | 0 | 0.34 | 2021 |
| Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis | 0 | 0.34 | 2021 |
| Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification | 0 | 0.34 | 2021 |
| Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns | 1 | 0.37 | 2021 |
| Planning on a (Risk) Budget: Safe Non-Conservative Planning in Probabilistic Dynamic Environments | 0 | 0.34 | 2021 |
| Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering | 0 | 0.34 | 2021 |
| Flow Contrastive Estimation of Energy-Based Models | 1 | 0.40 | 2020 |
| Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning | 0 | 0.34 | 2020 |
| Joint Training of Variational Auto-Encoder and Latent Energy-Based Model | 1 | 0.35 | 2020 |
| Imposing Implicit Feasibility Constraints On Deformable Image Registration Using A Statistical Generative Model | 1 | 0.36 | 2020 |
| Motion-Based Generator Model: Unsupervised Disentanglement Of Appearance, Trackable And Intrackable Motions In Dynamic Patterns | 0 | 0.34 | 2020 |
| Learning Latent Space Energy-Based Prior Model | 0 | 0.34 | 2020 |
| Unsupervised Disentangling Of Appearance And Geometry By Deformable Generator Network | 2 | 0.36 | 2019 |
| Inducing Sparse Coding and And-Or Grammar from Generator Network. | 0 | 0.34 | 2019 |
| Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion | 2 | 0.37 | 2019 |
| On Learning Non-Convergent Short-Run MCMC Toward Energy-Based Model. | 2 | 0.35 | 2019 |
| A tale of two explanations: Enhancing human trust by explaining robot behavior. | 6 | 1.01 | 2019 |
| On The Anatomy Of Mcmc-Based Maximum Likelihood Learning Of Energy-Based Models | 2 | 0.36 | 2019 |
| Network Transplanting (extended abstract). | 0 | 0.34 | 2019 |
| Unsupervised Learning of Neural Networks to Explain Neural Networks (extended abstract). | 0 | 0.34 | 2019 |
| Interpretable CNNs. | 0 | 0.34 | 2019 |
| Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model. | 0 | 0.34 | 2019 |
| Learning Vector Representation of Content and Matrix Representation of Change: Towards a Representational Model of V1. | 0 | 0.34 | 2019 |
| Interpreting Cnns Via Decision Trees | 5 | 0.38 | 2019 |
| Replicating Neuroscience Observations on ML/MF and AM Face Patches by Deep Generative Model. | 0 | 0.34 | 2019 |
| Learning Trajectory Prediction with Continuous Inverse Optimal Control via Langevin Sampling of Energy-Based Models. | 0 | 0.34 | 2019 |
| Learning Generator Networks for Dynamic Patterns | 0 | 0.34 | 2019 |
| Multi-Agent Tensor Fusion For Contextual Trajectory Prediction | 12 | 0.53 | 2019 |
| Learning Multi-View Generator Network For Shared Representation | 0 | 0.34 | 2018 |
| Mining deep And-Or object structures via cost-sensitive question-answer-based active annotations. | 0 | 0.34 | 2018 |
| Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering. | 0 | 0.34 | 2018 |
| Interpreting CNNs via Decision Trees. | 5 | 0.51 | 2018 |
| Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching. | 2 | 0.37 | 2018 |
| Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion. | 0 | 0.34 | 2018 |
| Interactive Agent Modeling by Learning to Probe. | 0 | 0.34 | 2018 |
| Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry | 5 | 0.49 | 2018 |
| Divergence Triangle For Joint Training Of Generator Model, Energy-Based Model, And Inferential Model | 3 | 0.37 | 2018 |
| Interpreting CNN Knowledge via An Explanatory Graph | 13 | 0.59 | 2018 |
| Deep neural network based i-vector mapping for speaker verification using short utterances. | 2 | 0.35 | 2018 |
