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

Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification CVPR 2021
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models IJCNLP 2021
Unsupervised Foreground Extraction via Deep Region Competition NIPS 2021
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation AAAI 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration ICCV 2021
Unsupervised Learning of Compositional Energy Concepts NIPS 2021
Improved Contrastive Divergence Training of Energy-Based Models ICML 2021
On Energy-Based Models with Overparametrized Shallow Neural Networks ICML 2021
Implicit Behavioral Cloning CORL 2021
Learning to Compose Visual Relations NIPS 2021
Towards understanding retrosynthesis by energy-based models NIPS 2021
Arbitrary Conditional Distributions with Energy NIPS 2021
Controllable and Compositional Generation with Latent-Space Energy-Based Models NIPS 2021
Perturb-and-max-product: Sampling and learning in discrete energy-based models NIPS 2021
Pseudo-Spherical Contrastive Divergence NIPS 2021
Trajectory Prediction With Latent Belief Energy-Based Model CVPR 2021
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction NIPS 2021
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks EMNLP 2020
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation ACL 2020
Energy-Based Processes for Exchangeable Data ICML 2020
Training Deep Energy-Based Models with f-Divergence Minimization ICML 2020
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks EMNLP 2020
Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking EMNLP 2020
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020
Flow Contrastive Estimation of Energy-Based Models CVPR 2020