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Variational Inference

1946 directly classified papers

Papers per year

Papers

Graph Representation Learning via Ladder Gamma Variational Autoencoders AAAI 2020
Capsule Routing via Variational Bayes AAAI 2020
Weakly Supervised Disentanglement by Pairwise Similarities AAAI 2020
Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding COLING 2020
Bayesian Attention Modules NIPS 2020
Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020
Robust Data Programming with Precision-guided Labeling Functions AAAI 2020
Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis INTERSPEECH 2020
Lifted Hybrid Variational Inference IJCAI 2020
What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics AAAI 2020
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning AAAI 2020
Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge IJCAI 2020
Explicit Semantic Decomposition for Definition Generation ACL 2020
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders ACL 2020
Adversarial Disentanglement with Grouped Observations AAAI 2020
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space AAAI 2020
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior AAAI 2020
Stochastic Approximate Gradient Descent via the Langevin Algorithm AAAI 2020
Variational Bayesian Unlearning NIPS 2020
Towards Consistent Variational Auto-Encoding (Student Abstract) AAAI 2020
DGE: Deep Generative Network Embedding Based on Commonality and Individuality AAAI 2020
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence AAAI 2020
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020
On the Expressiveness of Approximate Inference in Bayesian Neural Networks NIPS 2020
Markovian Score Climbing: Variational Inference with KL(p||q) NIPS 2020