Mamba-2 combines SSMs and Transformers for improved efficiency in language tasks.
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Computer Science - Machine Learning
RSSThis paper proposes new methods to evaluate information fragmentation in machine learning.
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Key steps to streamline your paper submission process.
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Introducing Federated Dynamic Averaging for improved communication in distributed deep learning.
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A new approach using neural networks for managing Gaussian scale spaces efficiently.
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Examining client contributions and vulnerabilities in federated learning systems.
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Improving sample quality in machine learning through innovative methods.
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A look at improved techniques for measuring carbon in U.S. forests.
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Learn how FeNNol enhances molecular dynamics simulations using machine learning.
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Research on optimizing deep learning models with sparsity and quantization techniques.
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Using remote sensing to improve forest biomass estimation in China.
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Flow matching offers a new way to generate data samples efficiently.
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Examining the impact of calibration set quality on LLM performance post-quantization.
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New method enhances reliability of predictions by addressing uncertainty in machine learning.
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A new method improves language models by learning from real-time data.
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Agents improve predictions together while respecting privacy and limitations.
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Denoising Language Models improve error correction in speech recognition systems using synthetic data.
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A method for collaborative machine learning while keeping data private.
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A new method improves image generation accuracy from text prompts.
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New methods for privacy-preserving collaboration in vertical federated learning.
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A look at various AI models and their efficiencies in processing data.
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This article presents a method to improve handling of missing data.
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Exploring federated control in reinforcement learning for agents to work together securely.
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A new method enhances relation extraction across long documents.
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New methods in stochastic optimal control for infinite-dimensional spaces show promise in generative modeling.
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Forgetting enhances learning in humans and machine models, improving adaptability and performance.
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New methods enhance language model outputs while maintaining grammar rules.
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Discover how GPS technology changes team performance analysis.
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New method highlights disparities in course difficulty among student groups.
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Introducing RobustKD, a method to enhance model safety against backdoor attacks.
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D-FaST method improves cognitive signal decoding using frequency, space, and time.
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A new approach improves RF signal generation for better wireless communication.
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A new method enhances fault detection using multivariate time series data.
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Using vector embeddings to improve AI tools in low-resource healthcare settings.
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Research aims to improve pathfinding efficiency using adaptable heuristic functions.
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A new method enhances system predictions using data-driven approaches.
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This study proposes a new approach to maintain learning in AI systems.
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A new framework for training recommender systems using simulated user interactions.
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New model enhances prediction accuracy for hydrophobic patches in proteins.
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A deep dive into how uncertainty affects neural network predictions.
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