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kullback-leibler divergence

181 papers

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Also known as

KL KL-DIVERGENCE KLD KL DIVERGENCE

Co-occurring keywords

variational inference (2069) kl divergence (196) generative model (2892) bayesian inference (1907) posterior distribution (259) probabilistic modeling (852) neural network (6616) knowledge distillation (3725) mutual information (724) variational autoencoder (1288)

Papers

Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery CVPR 2023
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds JMLR 2023
The s-value: evaluating stability with respect to distributional shifts NIPS 2023
Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization ICML 2023
On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits ALT 2023
Time-Independent Information-Theoretic Generalization Bounds for SGLD NIPS 2023
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions NIPS 2023
Exploring Non-target Knowledge for Improving Ensemble Universal Adversarial Attacks AAAI 2023
TDG4Crowd:Test Data Generation for Evaluation of Aggregation Algorithms in Crowdsourcing IJCAI 2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models NIPS 2023
In- or out-of-distribution detection via dual divergence estimation UAI 2023
Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation ACL 2022
Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement AAAI 2022
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation AAAI 2022
Implicitly Regularized RL with Implicit Q-values AISTATS 2022
Approximate Bayesian Computation via Classification JMLR 2022
Minimax Regret on Patterns Using Kullback-Leibler Divergence Covering COLT 2022
Resampling Base Distributions of Normalizing Flows AISTATS 2022
Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution IJCAI 2022
Dimension reduction for high-dimensional small counts with KL divergence UAI 2022
Generalised Mutual Information for Discriminative Clustering NIPS 2022
Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings EMNLP 2022
Fast Rank-1 NMF for Missing Data with KL Divergence AISTATS 2022
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance NIPS 2022
Ranking Distance Calibration for Cross-Domain Few-Shot Learning CVPR 2022