Latest Articles for Machine Learning

Study reveals smaller models can learn effectively with reduced vocabulary pre-training.

New approaches aim to improve GCN performance and generalization.

i-SRN improves pose estimation for robots using implicit representations and neural rendering.

Learn how Restricted Kernel Machines improve multi-view data analysis.

LatentPINNs utilize latent representations for quicker solutions in complex physical scenarios.

Exploring methods to improve image coding for advanced AI applications.

This method enables agents to adapt better to varying tasks without labeled rewards.

This article discusses the use of Physics-Informed Neural Networks in solving quantum mechanics problems.

This article discusses key issues in identifying linear systems through data.

A new approach combines brain science and machine learning for image reconstruction.

A method combining LightGBM and Prophet for accurate retail sales predictions.

This research shows how entailment and self-training improve language models without needing human-labeled data.

This article explores how tokenization affects multilingual language models and their performance.

Research shows how machines represent information similarly to human thinking.

This article discusses multilabel learning and methods to handle class imbalance.

This study highlights the benefits of simple action sequences in RL.

GRAtt enhances tracking efficiency in challenging video segmentation tasks.

Research highlights the potential of qGAN for particle energy simulations.

A new approach enhances language model planning through the use of a verifier.

Introducing the Multiple Comparison Matrix for clearer algorithm evaluation.

Introducing CREST, a framework that improves model interpretability and performance in NLP.

New methods enhance question answering capabilities through graph integration.

RFiD model improves answer accuracy in open-domain question answering.

Exploring how transformer models adapt using in-context learning from minimal examples.

Explore how quantum learning machines operate and their potential benefits.

A new method to improve interpretability in GAMs by tackling concurvity.

Exploring how neural networks recognize symmetries in data through equivariance.

A new method reduces bias in NLP models using dynamic clustering and active learning.

New methods in knowledge distillation enhance model training efficiency.

Synthetic data generation enhances smart home energy management systems.

An overview of approaches for generating question-answer pairs using language models.

Analyzing limitations and corrections in influence functions for better model performance.

This study enhances a classic method for detecting lines in document images.

Assessing privacy risks in deep learning against various attacks.

A new approach to align AI language models with societal norms through simulated interactions.

New method improves AI model adaptability and efficiency.

A new incremental system improves coreference understanding in texts.

This article discusses improvements in Levin Tree Search using context models for problem-solving.

A new method combines similar datasets for better anomaly detection.

Combining reference-based and reference-free methods for better summarization assessment.