energy-based model

Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models ACL 2021 Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines NeurIPS 2021 Generalized Energy Based Models ICLR 2021 Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification CVPR 2021 Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling NeurIPS 2021 Implicit Behavioral Cloning CoRL 2021 Improved Contrastive Divergence Training of Energy-Based Models ICML 2021 JEM++: Improved Techniques for Training JEM ICCV 2021 Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models EACL 2021 Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification ICML 2021 Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation AAAI 2021 Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling ICLR 2021 Learning Energy-Based Models by Diffusion Recovery Likelihood ICLR 2021 Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler AAAI 2021 Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent NeurIPS 2021 Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction NeurIPS 2021 Learning Neural Generative Dynamics for Molecular Conformation Generation ICLR 2021 Learning to Compose Visual Relations NeurIPS 2021 Learning Triadic Belief Dynamics in Nonverbal Communication From Videos CVPR 2021 LEO: Learning Energy-based Models in Factor Graph Optimization CoRL 2021 Limitations of Autoregressive Models and Their Alternatives NAACL 2021 LocalGAN: Modeling Local Distributions for Adversarial Response Generation JMLR 2021 No MCMC for me: Amortized sampling for fast and stable training of energy-based models ICLR 2021 On Energy-Based Models with Overparametrized Shallow Neural Networks ICML 2021 Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021