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Name: UNITES Lab

Type: Organization

Bio: University of North Carolina, AI Trustworthiness, Efficiency, and for Science Group

UNITES Lab's Projects

lingual-smoe icon lingual-smoe

[ICLR 2024] Code for the paper "Sparse MoE with Language-Guided Routing for Multilingual Machine Translation"

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[ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"

mew icon mew

[ECCV 2024] Code for the paper "Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network"

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Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"

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[ICML 2024] Code for the paper "MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts"

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Official code for the paper "Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent"

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Codes for "Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective"

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