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Variational Inference

11 directly classified papers

Papers per year

Papers

Enhance Vision-Language Alignment with Noise AAAI 2025
Identifiability Guarantees for Causal Disentanglement from Soft Interventions NIPS 2023
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units AAAI 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs NIPS 2022
Variational Pedestrian Detection CVPR 2021
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation NIPS 2020
Introducing Routing Uncertainty in Capsule Networks NIPS 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax NIPS 2020
Iterative Refinement of the Approximate Posterior for Directed Belief Networks NIPS 2016
Learning Structured Output Representation using Deep Conditional Generative Models NIPS 2015
Iterative Neural Autoregressive Distribution Estimator NADE-k NIPS 2014