Co-occurring keywords · papers mentioning both
Papers
Variational Autoencoders: A Harmonic Perspective
AISTATS 2022
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
ICML 2022
Adaptive Curriculum Learning
ICCV 2021
Adaptive Sampling for Best Policy Identification in Markov Decision Processes
ICML 2021
A Distributional Approach to Controlled Text Generation
ICLR 2021
Adversarially Guided Actor-Critic
ICLR 2021
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
IJCAI 2021
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding
AAAI 2021
Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks
UAI 2021
Hierarchical probabilistic model for blind source separation via Legendre transformation
UAI 2021
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent
AISTATS 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
NeurIPS 2021
Longitudinal Variational Autoencoder
AISTATS 2021
On Robust Optimal Transport: Computational Complexity and Barycenter Computation
NeurIPS 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
NeurIPS 2021
Rate-Regularization and Generalization in Variational Autoencoders
AISTATS 2021
R-Drop: Regularized Dropout for Neural Networks
NeurIPS 2021
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
NeurIPS 2021
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder
CVPR 2021
A Batch Normalized Inference Network Keeps the KL Vanishing Away
ACL 2020
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
ICML 2020
A Non-Asymptotic Analysis for Stein Variational Gradient Descent
NeurIPS 2020
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract)
AAAI 2020
ControlVAE: Controllable Variational Autoencoder
ICML 2020
Decentralized Langevin Dynamics for Bayesian Learning
NeurIPS 2020