MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper
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2401.15947
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Published
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46
Mixture of Experts Papers
MoE
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DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 35 -
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention
Paper • 2312.07987 • Published • 39 -
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
Paper • 2101.03961 • Published • 13 -
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Paper • 1701.06538 • Published • 4 -
Sparse Networks from Scratch: Faster Training without Losing Performance
Paper • 1907.04840 • Published • 3 -
A Mixture of h-1 Heads is Better than h Heads
Paper • 2005.06537 • Published • 2 -
FastMoE: A Fast Mixture-of-Expert Training System
Paper • 2103.13262 • Published • 2 -
SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts
Paper • 2105.03036 • Published • 2 -
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Paper • 2006.16668 • Published • 3 -
A Review of Sparse Expert Models in Deep Learning
Paper • 2209.01667 • Published • 3 -
Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition
Paper • 2112.05820 • Published • 2