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Fast, sensitive and accurate integration of single-cell data with Harmony

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Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

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Twenty Years of Mixture of Experts

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DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

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An interactive framework for whole-brain maps at cellular resolution

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ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

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Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems

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Automating Mendelian randomization through machine learning to construct a putative causal map of the human phenome

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Augmenting Self-attention with Persistent Memory

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Mathematical Modelling as a Tool for Optimized PHA Production

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Consistent Estimators for Learning to Defer to an Expert

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A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models

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Revisiting Single Image Super-Resolution Under Internet Environment: Blur Kernels and Reconstruction Algorithms

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Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery

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Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexperts

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