🏢 King Abdullah University of Science and Technology
Vivid-ZOO: Multi-View Video Generation with Diffusion Model
·2634 words·13 mins·
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Computer Vision
Image Generation
🏢 King Abdullah University of Science and Technology
Vivid-ZOO: Generating high-quality multi-view videos from text using a novel diffusion model.
Truthful High Dimensional Sparse Linear Regression
·282 words·2 mins·
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AI Theory
Privacy
🏢 King Abdullah University of Science and Technology
This paper presents a novel, truthful, and privacy-preserving mechanism for high-dimensional sparse linear regression, incentivizing data contribution while safeguarding individual privacy.
Towards Multi-dimensional Explanation Alignment for Medical Classification
·2650 words·13 mins·
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AI Applications
Healthcare
🏢 King Abdullah University of Science and Technology
Med-MICN: a novel end-to-end framework for medical image classification, achieving superior accuracy and multi-dimensional interpretability by aligning neural symbolic reasoning, concept semantics, an…
SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation
·5201 words·25 mins·
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AI Generated
Computer Vision
3D Vision
🏢 King Abdullah University of Science and Technology
SplitNeRF: One-hour training on a single GPU yields state-of-the-art scene geometry, lighting, and material property estimation!
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences
·2058 words·10 mins·
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Machine Learning
Federated Learning
🏢 King Abdullah University of Science and Technology
Boost federated learning efficiency! This paper introduces novel algorithms that cleverly combine gradient compression with random reshuffling, significantly reducing communication complexity and impr…
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
·2973 words·14 mins·
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AI Generated
Natural Language Processing
Large Language Models
🏢 King Abdullah University of Science and Technology
CorDA: Context-oriented weight decomposition enhances large language model fine-tuning by integrating task context, improving efficiency and mitigating catastrophic forgetting.
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences
·1936 words·10 mins·
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AI Generated
Machine Learning
Federated Learning
🏢 King Abdullah University of Science and Technology
Byzantine-tolerant Variance-Reduced MARINA with Partial Participation (Byz-VR-MARINA-PP) is the first distributed method to simultaneously achieve Byzantine robustness and partial client participation…
Alignment at Pre-training! Towards Native Alignment for Arabic LLMs
·2342 words·11 mins·
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Natural Language Processing
Large Language Models
🏢 King Abdullah University of Science and Technology
This study introduces ’native alignment’ for Arabic LLMs, achieving state-of-the-art results by aligning models during pre-training, rather than post-training.