Latest Articles for Machine Learning

FALCON identifies fine categories using broad labels without needing detailed supervision.

Research uses machine learning to predict key properties of galaxies.

A method for better data classification using local models and fuzzy representations.

A new method improves data learning by maintaining prior information.

A new method improves federated learning for multi-modal data despite missing information.

Learn how matrix sketching simplifies large datasets.

Examining the importance of smallest eigenvalue in NTK for neural network training.

WeShap values improve data labeling quality for machine learning models.

A new method enhances adaptability of computer models for satellite and medical images.

Learn about online speaker diarization and its significance in various applications.

Learn how target unlearning safeguards privacy by allowing models to forget specific information.

A new method improves efficiency in adapting to changing optimization problems.

A new method to verify machine unlearning effectively and securely.

This method effectively removes copyrighted material while maintaining model performance.

This article discusses feature unlearning and its impact on privacy and fairness in machine learning.

Exploring methods to create structured tables using large language models.

A new method combines human feedback and machine learning for effective data quality monitoring.

Research reveals complexities in deep neural networks beyond traditional models.

This article discusses recent developments to improve efficiency in Large Language Models.

This paper analyzes multi-index models and their role in learning from data.

DIPPER optimizes robot learning through human feedback, improving task performance.

Using machine learning to improve laser light coupling into optical fibers.

A new benchmark targets compositionality in video understanding and language models.

Research shows consistent response styles improve LLM effectiveness with fewer examples.

New benchmark tool assesses discrete audio tokens for various speech processing tasks.

A new dataset and benchmark improve protein sequence analysis using AI.

A new method improves clarity in AI model decision-making.

Researchers are using self-supervised learning to improve Alzheimer’s Disease classification via MRI scans.

A new method combines CNFs and MCMC for improved sampling from complex distributions.

Research outlines techniques to improve efficiency in serving LoRA adapters.

A new method enhances LLM performance on lengthy text without losing accuracy.

Learn how offline contextual bandits improve choices using past experiences.

A new method enhances exploration efficiency in reinforcement learning.

Introducing model evolution for improved language model performance without extra training data.

Exploring innovative scheduling methods to improve quantum resource management using reinforcement learning.

Explore the principles and applications of stochastic approximation in uncertain environments.

A study on improving LLMs' problem-solving abilities using a new framework.

GloVe-V improves word embeddings by measuring uncertainty in vector representations.

Investigating how latent space affects transformer model performance on language tasks.

This article analyzes how language models understand and infer causal relationships.