Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
This research explores Pruning and quantization for deep neural network acceleratio..., contributing new insights to the field of Artificial Intelligence.
Modern change detection (CD) has achieved remarkable success by the powerful discriminative ability of deep convolutions. Based on a naive backbone (ResNet18) without sophisticated structures (e.g., f...
This research explores Machine learning for alloys, contributing new insights to the field of Artificial Intelligence.
Natural Language Processing (NLP) is one of the most captivating applications of Deep Learning. Finally, we discuss interesting topics around Data Augmentation in NLP such as task-specific augmentatio...
The Delphi technique is a systematic process of forecasting using the collective opinion of panel members. There was inconsistency in reporting vital elements of Delphi methods such as identification...
Recently, there has been a surge of diverse methods for performing image editing by employing pre-trained unconditional generators. We present an encoder based on our two principles that is specifical...
In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX. We hope this report can provide useful experience for developers and research...
This research explores SimAM: A Simple, Parameter-Free Attention Module for Convolu..., contributing new insights to the field of Artificial Intelligence.
Large-scale vision and language representation learning has shown promising improvements on various vision-language tasks. On VQA and NLVR$^2$, ALBEF achieves absolute improvements of 2.37% and 3.84%...
Abstract Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. We validated an entirely redesigned version of our neural netwo...
DeepMind presented notably accurate predictions at the recent 14th Critical Assessment of Structure Prediction (CASP14) conference. The network also enables rapid generation of accurate protein-protei...
Cryo-EM maps are valuable sources of information for protein structure modeling. DeepEMhancer was evaluated on a testing set of 20 different experimental maps, showing its ability to reduce noise leve...
In recent times, deep artificial neural networks have achieved many successes in pattern recognition. Through the results, we are able to analyze the characteristics, advantages and disadvantages, and...
Dataset Shift in Clinical Trials This letter outlines how to identify, and potentially mitigate, common sources of “dataset shift” in machine-learning systems.
Perhaps the most straightforward classifier in the arsenal or Machine Learning techniques is the Nearest Neighbour Classifier—classification is achieved by identifying the nearest neighbours to a quer...
Metaheuristics play a critical role in solving optimization problems, and most of them have been inspired by the collective intelligence of natural organisms in nature. The results demonstrate that th...
Abstract This paper provides a brief analytical review of the current state‐of‐the‐art in relation to the explainability of artificial intelligence in the context of recent advances in machine learnin...
This research explores Applications of deep learning in stock market prediction: Re..., contributing new insights to the field of Artificial Intelligence.
Representation learning on user-item graph for recommendation has evolved from using single ID or interaction history to exploiting higher-order neighbors. This leads to the success of graph convoluti...
Land use/land cover (LULC) maps are foundational geospatial data products needed by analysts and decision makers across governments, civil society, industry, and finance to monitor global environmenta...