Latest Articles for Tasks

A new framework enhances the efficiency of deep learning task management across diverse hardware.

New method improves robot task performance with enhanced precision and safety.

Study assesses effectiveness of feedback on motor learning through online tasks.

New models reveal the cerebellum's selective activation in movement and memory tasks.

ExpeL agent learns from experiences to enhance performance in various tasks.

Learn how to assign tasks to robots for better cooperation and efficiency.

KGrEaT assesses the quality and usefulness of knowledge graphs for various tasks.

A new method improves machine learning by retaining knowledge while learning new tasks.

A fresh method aims to help models learn new tasks without forgetting old ones.

A new method improves robotic interactions through language-based movement planning.

A new method helps robots better solve arrangement challenges.

Study reveals focused gaze patterns improve surgical performance and training.

A new way to collect instruction-tuning data for large language models.

The Director system enhances robot behavior by streamlining task transitions and increasing adaptability.

How robot explanations can improve teamwork and error resolution.

Methods to balance task distribution among resources for optimal performance.

Exploring the complexities of how agents know to achieve goals.

Researchers analyze the predictability of language model performance as training compute scales.

TroVE simplifies function creation for programming tasks, improving accuracy and efficiency.

A look at how the VWFA processes written language and engages with other brain areas.

New control method enhances robot interaction for cleaning and sanding tasks.

Study questions the need for optimizing in-context examples when clear instructions are provided.

A dataset to assess struggles in assembly tasks using video annotations.

A study investigates robotic assistance for individuals with vision impairments.

New dataset enhances computer agents' ability to perform various tasks.

Researchers are making robots that understand simple human instructions for better tasks.

A dataset designed to test machine learning models under changing confounding factors.

Research shows general regularization methods boost off-policy RL agent performance across tasks.

New method reduces time for language localization in brain studies.

A fresh approach to combine different models effectively for better performance.

Exploring how hand-drawn sketches can improve robot task performance.

A new framework improves task scheduling in real-time systems.

Learn how to mitigate negative transfer in continual reinforcement learning with Reset and Distill.

Study reveals complex behavior of the DMN during task switching.

Evaluating how biases in language models affect real-world applications.

A framework to improve NLP performance across various language dialects.

A new benchmark assesses how machines plan complex tasks with different data types.

A fresh benchmark uncovers strengths and weaknesses of VLLMs in multimodal tasks.

Robots learn to adapt and improve by receiving real-time human feedback.

Introducing a structured design space for intelligent writing assistants.