Robust Mixture-of-Expert Training for Convolutional Neural Networks
Paper
• 2308.10110 • Published
• 2
Papers - MoE - Training
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Experts Weights Averaging: A New General Training Scheme for Vision Transformers
Paper • 2308.06093 • Published • 2 -
ConstitutionalExperts: Training a Mixture of Principle-based Prompts
Paper • 2403.04894 • Published • 2 -
Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models
Paper • 2403.03432 • Published • 1 -
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
Paper • 2402.14800 • Published • 3 -
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
Paper • 2402.12550 • Published • 2 -
Buffer Overflow in Mixture of Experts
Paper • 2402.05526 • Published • 9 -
MegaBlocks: Efficient Sparse Training with Mixture-of-Experts
Paper • 2211.15841 • Published • 8 -
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Paper • 1701.06538 • Published • 7 -
LocMoE: A Low-overhead MoE for Large Language Model Training
Paper • 2401.13920 • Published • 2 -
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Paper • 2201.05596 • Published • 2 -
Pipeline MoE: A Flexible MoE Implementation with Pipeline Parallelism
Paper • 2304.11414 • Published • 2 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 59 -
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts
Paper • 2312.07035 • Published • 2 -
TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Paper • 2402.14289 • Published • 20 -
AMEND: A Mixture of Experts Framework for Long-tailed Trajectory Prediction
Paper • 2402.08698 • Published • 2 -
Fast Inference of Mixture-of-Experts Language Models with Offloading
Paper • 2312.17238 • Published • 7 -
Sparse Backpropagation for MoE Training
Paper • 2310.00811 • Published • 2 -
FedJETs: Efficient Just-In-Time Personalization with Federated Mixture of Experts
Paper • 2306.08586 • Published • 1 -
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts
Paper • 2306.04845 • Published • 4 -
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
Paper • 2403.07816 • Published • 44 -
Unified Scaling Laws for Routed Language Models
Paper • 2202.01169 • Published • 2 -
Qwen2 Technical Report
Paper • 2407.10671 • Published • 168 -
Memory Layers at Scale
Paper • 2412.09764 • Published • 5