conftrace_

energy-based model

251 papers

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Also known as

EBMS EBM

Co-occurring keywords

generative model (2892) markov chain monte carlo (725) variational inference (2069) out-of-distribution detection (617) diffusion model (3751) neural network (6616) latent space (854) langevin dynamics (128) image generation (2073) maximum likelihood (255)

Papers

Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling NIPS 2020
Learning Latent Space Energy-Based Prior Model NIPS 2020
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding AACL 2020
CLOUD: Contrastive Learning of Unsupervised Dynamics CORL 2020
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling ICML 2020
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020
Adversarial Localized Energy Network for Structured Prediction AAAI 2020
Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit EMNLP 2020
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model CVPR 2020
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration NIPS 2020
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models NIPS 2020
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control NIPS 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA NIPS 2020
Pre-Training Transformers as Energy-Based Cloze Models EMNLP 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models NIPS 2020
Strictly Batch Imitation Learning by Energy-based Distribution Matching NIPS 2020
Compositional Visual Generation with Energy Based Models NIPS 2020
Energy-Based Modelling for Dialogue State Tracking ACL 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions NIPS 2019
Regularizing Model-Based Planning with Energy-Based Models CORL 2019
Generalized Boltzmann Machine with Deep Neural Structure AISTATS 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation UAI 2019
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions NIPS 2019
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test NIPS 2019
Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph CVPR 2019