Research presents new methods for evaluating speech recognition systems in Polish.
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Computer Science - Machine Learning
RSSStrategies for improving machine learning models with shifting datasets.
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New methods reduce memory usage while maintaining performance in LLMs.
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A new algorithm addresses challenges in bilevel optimization with coupled constraints.
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Exploring how new mathematical approaches improve machine learning for complex data types.
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Learn how weight block sparsity boosts AI performance and efficiency.
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A new approach improves feedback collection for language models, saving time and costs.
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A new racing game environment boosts Offline Reinforcement Learning research.
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Introducing an innovative angle-preserving approach for visualizing high-dimensional data.
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This article discusses the challenges and solutions in Graph Neural Networks.
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Sinusoidal Positional Encoding offers improved learning and performance in machine learning tasks.
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New model speeds up simulations of metal behavior in corrosive conditions.
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This paper focuses on improving the reliability of language model outputs.
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New techniques improve efficiency in complex optimization problems for machine learning.
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A new method to select data augmentations improves model performance on time series tasks.
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This technique improves prediction accuracy by quantifying uncertainty effectively.
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ACoNE offers an efficient model for generating explainable query embeddings.
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A new technique for improved ultrasound imaging using sound waves.
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Learn how Bregman divergence aids in measuring data differences and improving machine learning models.
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Introducing BITR, an effective new method for combining point clouds in 3D space.
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Examining adversarial attacks and model robustness in semantic segmentation.
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Advancements in machine learning enhance tracking of Earth's orbital objects.
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Introducing a new method to enhance efficiency in large language models through pruning.
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Improving tutoring responses with effective error verification techniques for better student support.
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Exploring the role of explainable AI in understanding machine learning predictions.
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A new method improves radar signal quality through advanced restoration techniques.
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New packing method enhances training speed and resource use in language models.
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A method that reduces gestures needed for biometric enrolment through synthetic data.
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A new approach enhances causal discovery accuracy in complex data relationships.
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Introducing STD-LLM for improved forecasting and imputation in dynamic systems.
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Exploring new techniques in masked image modeling for improved self-supervised learning.
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Learn how mini-batch SGD improves neural network training and feature selection.
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Learn about self-supervised methods for selecting key features in complex datasets.
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MLLMs face new threats as safe prompts can be falsely refused.
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Examining dynamic methods for optimizing machine learning model training.
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A new framework analyzes speech to identify mild cognitive impairment across languages.
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A new method enhances the efficiency of language models using shared attention weights.
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EQuAD improves model performance on graphs facing changing data distributions.
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Introducing FedGTG to retain knowledge while learning in federated settings.
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Using symmetry to enhance learning efficiency in aircraft control algorithms.
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