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Mixture-of-Experts

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Showing 1201–1250 of 1312 papers

TitleStatusHype
Transformer Based Multi-Source Domain AdaptationCode1
Double-Wing Mixture of Experts for Streaming Recommendations—0
Anomaly Detection by Recombining Gated Unsupervised ExpertsCode0
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals PredictionCode1
Aphasic Speech Recognition using a Mixture of Speech Intelligibility Experts—0
Biased Mixtures Of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations—0
MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction—0
Team Deep Mixture of Experts for Distributed Power Control—0
Adversarial Mixture Of Experts with Category Hierarchy Soft ConstraintCode0
Exploring Model Consensus to Generate Translation ParaphrasesCode0
A Mixture of h - 1 Heads is Better than h Heads—0
GShard: Scaling Giant Models with Conditional Computation and Automatic ShardingCode0
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian ProcessesCode1
Model Agnostic Combination for Ensemble Learning—0
An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design—0
Fast Deep Mixtures of Gaussian Process Experts—0
Catching Attention with Automatic Pull Quote SelectionCode0
A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data—0
A Mixture of h-1 Heads is Better than h Heads—0
Machine learning based digital twin for dynamical systems with multiple time-scales—0
Contextual Policy Transfer in Reinforcement Learning Domains via Deep Mixtures-of-Experts—0
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-ExpertsCode1
Learning CHARME models with neural networksCode0
Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)—0
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data—0
Self-Routing Capsule NetworksCode0
GLA in MediaEval 2018 Emotional Impact of Movies Task—0
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative ModelsCode1
Hierarchical Mixtures of Generators for Adversarial LearningCode0
CLER: Cross-task Learning with Expert Representation to Generalize Reading and Understanding—0
Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M ProductsCode0
Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment—0
Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell DataCode0
Learning a Mixture of Granularity-Specific Experts for Fine-Grained CategorizationCode0
MoET: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees—0
Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations—0
Learning Sparse Mixture of Experts for Visual Question Answering—0
Recommending what video to watch next: a multitask ranking system—0
Mixture Content Selection for Diverse Sequence GenerationCode0
Expert Sample Consensus Applied to Camera Re-LocalizationCode0
RTM Stacking Results for Machine Translation Performance Prediction—0
Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors—0
A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts—0
MoËT: Mixture of Expert Trees and its Application to Verifiable Reinforcement LearningCode1
Learning in Gated Neural Networks—0
Sequential Gaussian Processes for Online Learning of Nonstationary FunctionsCode0
Multi-Task Learning via Task Multi-Clustering—0
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
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