conftrace_

maximum mean discrepancy

164 papers

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Also known as

MMD

Co-occurring keywords

kernel methods (1097) domain adaptation (4595) reproducing kernel hilbert space (334) two-sample test (51) optimal transport (948) distribution matching (127) hypothesis testing (254) generative adversarial network (1944) transfer learning (5449) kernel mean embedding (43)

Papers

Domain Generalization With Adversarial Feature Learning CVPR 2018
Joint Generative Moment-Matching Network for Learning Structural Latent Code IJCAI 2018
Nonparametric Density Estimation under Adversarial Losses NIPS 2018
Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification IJCAI 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models ICML 2018
Characteristic and Universal Tensor Product Kernels JMLR 2018
Learning from Comparisons and Choices JMLR 2018
On gradient regularizers for MMD GANs NIPS 2018
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions JMLR 2018
Learning Conditional Acoustic Latent Representation with Gender and Age Attributes for Automatic Pain Level Recognition INTERSPEECH 2018
Population Matching Discrepancy and Applications in Deep Learning NIPS 2017
On Gleaning Knowledge from Multiple Domains for Active Learning IJCAI 2017
Efficient Kernel Selection via Spectral Analysis IJCAI 2017
A Linear-Time Kernel Goodness-of-Fit Test NIPS 2017
Deep Transfer Learning with Joint Adaptation Networks ICML 2017
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation CVPR 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network NIPS 2017
Testing and Learning on Distributions with Symmetric Noise Invariance NIPS 2017
Demystifying Neural Style Transfer IJCAI 2017
An Adaptive Test of Independence with Analytic Kernel Embeddings ICML 2017
Conditional Generative Moment-Matching Networks NIPS 2016
Distribution-Matching Embedding for Visual Domain Adaptation JMLR 2016
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels NIPS 2016
Interpretable Distribution Features with Maximum Testing Power NIPS 2016
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings AISTATS 2016