conftrace_

mixture of expert

640 papers

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Also known as

MOE

Co-occurring keywords

large language model (13587) model compression (3302) multi-task learning (2575) multimodal learning (4645) neural network (6616) knowledge distillation (3725) low-rank adaptation (560) parameter efficiency (417) transfer learning (5449) expert routing (44)

Papers

Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products NAACL 2021
Few-Shot and Continual Learning With Attentive Independent Mechanisms ICCV 2021
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning NIPS 2021
Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System L4DC 2021
DeepME: Deep Mixture Experts for Large-scale Image Classification IJCAI 2021
RTM Super Learner Results at Quality Estimation Task EMNLP 2021
Facebook AI’s WMT21 News Translation Task Submission EMNLP 2021
Cross-Domain Label-Adaptive Stance Detection EMNLP 2021
Generalizable Person Re-Identification With Relevance-Aware Mixture of Experts CVPR 2021
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding IJCNLP 2021
Unsupervised Foreground Extraction via Deep Region Competition NIPS 2021
VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts CVPR 2021
Adaptive Text to Speech for Spontaneous Style INTERSPEECH 2021
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference CONLL 2020
Aphasic Speech Recognition Using a Mixture of Speech Intelligibility Experts INTERSPEECH 2020
Bi-Encoder Transformer Network for Mandarin-English Code-Switching Speech Recognition Using Mixture of Experts INTERSPEECH 2020
Enriched mixtures of generalised Gaussian process experts AISTATS 2020
Exploring Model Consensus to Generate Translation Paraphrases ACL 2020
Sparse Mixture of Local Experts for Efficient Speech Enhancement INTERSPEECH 2020
Mixtures of Deep Neural Experts for Automated Speech Scoring INTERSPEECH 2020
Transformer Based Multi-Source Domain Adaptation EMNLP 2020
RTM Ensemble Learning Results at Quality Estimation Task EMNLP 2020
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts NIPS 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes NIPS 2020
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference EMNLP 2020