Tag: causal machine learning
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SISA: Efficient GEMM Acceleration with Scale-In Systolic Array
Discover SISA, a novel scale-in systolic array architecture that boosts GEMM performance by 8.5x and cuts energy-delay product by 93% for AI workloads.
Framework to Identify Pitfalls in Multimodal Active Learning
Discover a new framework to assess challenges in multimodal active learning and improve model performance with modality-aware strategies.
Aligning Human Concepts with Machine Learning Representations
Explore a geometric framework to align human concepts with machine learning models, enhancing interpretable AI and concept representation accuracy.
Baby Scale: Language Models Trained on Child Data
Explore how language models trained on individual children's language input reveal insights into human and AI language learning.
TrafficMoE: Advanced Encrypted Traffic Classification Method
Discover TrafficMoE, a heterogeneity-aware framework using Mixture of Experts for accurate encrypted traffic classification and improved network security.