Sparse Attention MoE - a test repo for a novel swappable attention mechanism
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DecoHD: Decomposed Hyperdimensional Classification under Extreme Memory Budgets
arxiv.org·21h
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Twirlator: A Pipeline for Analyzing Subgroup Symmetry Effects in Quantum Machine Learning Ansatzes
arxiv.org·21h
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Biological Regulatory Network Inference through Circular Causal Structure Learning
arxiv.org·2d
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Multi-Method Analysis of Mathematics Placement Assessments: Classical, Machine Learning, and Clustering Approaches
arxiv.org·21h
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A Dynamic Recurrent Adjacency Memory Network for Mixed-Generation Power System Stability Forecasting
arxiv.org·21h
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Improving Diagnostic Performance on Small and Imbalanced Datasets Using Class-Based Input Image Composition
arxiv.org·21h
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Neurosymbolic Deep Learning Semantics
arxiv.org·2d
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REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs
arxiv.org·21h
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Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations
arxiv.org·21h
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Causal Graph Neural Networks for Healthcare
arxiv.org·2d
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Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery
arxiv.org·21h
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Neural Green's Functions
arxiv.org·2d
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Deep Learning Approach for Clinical Risk Identification Using Transformer Modeling of Heterogeneous EHR Data
arxiv.org·21h
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Knowledge Graph for Intelligent Generation of Artistic Image Creation: Constructing a New Annotation Hierarchy
arxiv.org·1d
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
arxiv.org·21h
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MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning
arxiv.org·3d
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KGBridge: Knowledge-Guided Prompt Learning for Non-overlapping Cross-Domain Recommendation
arxiv.org·2d
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