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Mixture-of-Experts

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Showing 1251–1300 of 1312 papers

TitleStatusHype
Combining Parametric and Nonparametric Models for Off-Policy Evaluation—0
Diverse Machine Translation with a Single Multinomial Latent Variable—0
PLUME: Polyhedral Learning Using Mixture of Experts—0
WeNet: Weighted Networks for Recurrent Network Architecture Search—0
On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression—0
A mixture of experts model for predicting persistent weather patterns—0
Affect in Tweets Using Experts Model—0
Hierarchical Routing Mixture of Experts—0
Tensor-variate Mixture of Experts for Proportional Myographic Control of a Robotic HandCode0
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections—0
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning—0
Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership—0
Dropout Regularization in Hierarchical Mixture of Experts—0
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural NetworksCode0
Mixture of Regression Experts in fMRI Encoding—0
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning—0
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks—0
Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models—0
Multi-Source Cross-Lingual Model Transfer: Learning What to ShareCode0
Zero-Resource Multilingual Model Transfer: Learning What to Share—0
Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product NetworksCode0
Multi-Source Domain Adaptation with Mixture of ExpertsCode0
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-ExpertsCode0
MoE-SPNet: A Mixture-of-Experts Scene Parsing Network—0
Modularity Matters: Learning Invariant Relational Reasoning Tasks—0
Deep Mixture of Experts via Shallow EmbeddingCode0
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation—0
Stylistic Variation in Social Media Part-of-Speech Tagging—0
Discontinuity-Sensitive Optimal Control Learning by Mixture of ExpertsCode0
Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms—0
Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural NetworksCode0
Topic Compositional Neural Language Model—0
Diversity-Promoting Bayesian Learning of Latent Variable Models—0
Deep Gaussian Covariance Network—0
Learning Gating ConvNet for Two-Stream based Methods in Action RecognitionCode0
UTS submission to Google YouTube-8M Challenge 2017Code0
An Introduction to the Practical and Theoretical Aspects of Mixture-of-Experts Modeling—0
Hierarchical Deep Recurrent Architecture for Video UnderstandingCode0
Effective Approaches to Batch Parallelization for Dynamic Neural Network ArchitecturesCode0
Large-Scale YouTube-8M Video Understanding with Deep Neural Networks—0
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision—0
Quality Resilient Deep Neural Networks—0
Embarrassingly Parallel Inference for Gaussian ProcessesCode0
Changing Model Behavior at Test-Time Using Reinforcement Learning—0
Visual Saliency Prediction Using a Mixture of Deep Neural Networks—0
Robust mixture of experts modeling using the t distribution—0
Robust mixture of experts modeling using the skew t distribution—0
Opponent Modeling in Deep Reinforcement LearningCode0
LSTM-based Mixture-of-Experts for Knowledge-Aware Dialogues—0
A Universal Approximation Theorem for Mixture of Experts Models—0
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