Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.org·2h
⛰️Gradient Descent
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Enhanced Bone Fracture Prediction via Multi-Modal FEA & Deep Learning Integration
⛰️Gradient Descent
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MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning
arxiv.org·2h
⛰️Gradient Descent
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Neural Transparency: Mechanistic Interpretability Interfaces for Anticipating Model Behaviors for Personalized AI
arxiv.org·2h
🗺️Manifold Learning
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Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals
arxiv.org·1d
⛰️Gradient Descent
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Post-training methods for language models
developers.redhat.com·31m
⛰️Gradient Descent
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A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis
arxiv.org·2h
🗺️Manifold Learning
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Relation-Aware Bayesian Optimization of DBMS Configurations Guided by Affinity Scores
arxiv.org·1d
🦆DuckDB
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When to Trust the Answer: Question-Aligned Semantic Nearest Neighbor Entropy for Safer Surgical VQA
arxiv.org·2h
🔢Embeddings
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Hierarchical Bayesian Model for Gene Deconvolution and Functional Analysis in Human Endometrium Across the Menstrual Cycle
arxiv.org·1d
📦Pseudobulk
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HyFormer-Net: A Synergistic CNN-Transformer with Interpretable Multi-Scale Fusion for Breast Lesion Segmentation and Classification in Ultrasound Images
arxiv.org·2h
🗺️UMAP
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Algorithmic Bias Mitigation in Federated News Recommendation via Causal Graph Regularization
📐Matrix Factorization
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Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models
arxiv.org·2h
🗺️UMAP
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Learning and Leveraging Anisotropy Parameters in ANOVA Approximation
arxiv.org·2h
📐Matrix Factorization
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AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
arxiv.org·2h
⛰️Gradient Descent
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Understanding Federated Learning: Best Practices for Implementing Privacy-Preserving AI in C# Projects
⛰️Gradient Descent
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