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Apr 23, 2024
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Collections including paper arxiv:2308.14352
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Dec 22, 2024
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Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts
Paper • 2009.10622 • Published • 1 -
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper • 2401.15947 • Published • 53 -
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
Paper • 2401.04081 • Published • 73 -
MoE-Infinity: Activation-Aware Expert Offloading for Efficient MoE Serving
Paper • 2401.14361 • Published • 2
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May 1, 2024
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MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 134 -
Sensor-based Multi-Robot Search and Coverage with Spatial Separation in Unstructured Environments
Paper • 2403.01710 • Published • 2 -
EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models
Paper • 2308.14352 • Published -
Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems
Paper • 2306.12691 • Published • 2
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Mar 11, 2024
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Apr 18, 2024
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Mixtral of Experts
Paper • 2401.04088 • Published • 160 -
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper • 2401.15947 • Published • 53 -
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
Paper • 2401.04081 • Published • 73 -
EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models
Paper • 2308.14352 • Published
Collection by
Apr 5, 2025
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SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 60 -
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
Paper • 2312.12456 • Published • 44 -
Cached Transformers: Improving Transformers with Differentiable Memory Cache
Paper • 2312.12742 • Published • 13 -
Mini-GPTs: Efficient Large Language Models through Contextual Pruning
Paper • 2312.12682 • Published • 9
Collection by
Apr 23, 2024
Collection by
Mar 11, 2024
Collection by
Dec 22, 2024
-
Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts
Paper • 2009.10622 • Published • 1 -
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper • 2401.15947 • Published • 53 -
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
Paper • 2401.04081 • Published • 73 -
MoE-Infinity: Activation-Aware Expert Offloading for Efficient MoE Serving
Paper • 2401.14361 • Published • 2
Collection by
Apr 18, 2024
-
Mixtral of Experts
Paper • 2401.04088 • Published • 160 -
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper • 2401.15947 • Published • 53 -
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
Paper • 2401.04081 • Published • 73 -
EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models
Paper • 2308.14352 • Published
Collection by
May 1, 2024
-
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 134 -
Sensor-based Multi-Robot Search and Coverage with Spatial Separation in Unstructured Environments
Paper • 2403.01710 • Published • 2 -
EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models
Paper • 2308.14352 • Published -
Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems
Paper • 2306.12691 • Published • 2
Collection by
Apr 5, 2025
-
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 60 -
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
Paper • 2312.12456 • Published • 44 -
Cached Transformers: Improving Transformers with Differentiable Memory Cache
Paper • 2312.12742 • Published • 13 -
Mini-GPTs: Efficient Large Language Models through Contextual Pruning
Paper • 2312.12682 • Published • 9