Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood

Contrastive Search Is What You Need For Neural Text Generation

DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text

Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations

Radial Velocities and Pulsation Ephemerides of 11 Field RR Lyrae Stars

Oriented object detection in optical remote sensing images using deep learning: a survey

Locally Linear Image Structural Embedding for Image Structure Manifold Learning

3D Lexicons for American Sign Language and Sign Language of the Netherlands

Adoption of AI-Driven Fraud Detection System in the Nigerian Banking Sector: An Analysis of Cost, Compliance, and Competency

Wearing face mask detection using deep learning through COVID-19 pandemic

Convolutional neural network models for cancer type prediction based on gene expression

Unsupervised Lesion Detection via Image Restoration with a Normative Prior

Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model

POLY-CAM: HIGH RESOLUTION CLASS ACTIVATION MAP FOR CONVOLUTIONAL NEURAL NETWORKS

Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning

Playing with Food: Learning Food Item Representations through Interactive Exploration

Bisimulation and Bisimilarity for Fuzzy Description Logics under the Gödel Semantics

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks

Feature Based Fuzzy Rule Base Design for Image Extraction

Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students

Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency

The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models

Learning Curves for Decision Making in Supervised Machine Learning: A Survey

Predicting Concentration Levels of Air Pollutants by Transfer Learning and Recurrent Neural Network

Phrase-based Image Captioning with Hierarchical LSTM Model

VIDEO LANGUAGE PLANNING

Trivial Transfer Learning for Low-Resource Neural Machine Translation

Towards Unsupervised Automatic Speech Recognition Trained by Unaligned Speech and Text Only

Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework

Dhan-Shomadhan: A Dataset of Rice Leaf Disease Classification for Bangladeshi Local Rice

Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood

Contrastive Search Is What You Need For Neural Text Generation

DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text

Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations

Radial Velocities and Pulsation Ephemerides of 11 Field RR Lyrae Stars

Oriented object detection in optical remote sensing images using deep learning: a survey

Locally Linear Image Structural Embedding for Image Structure Manifold Learning

3D Lexicons for American Sign Language and Sign Language of the Netherlands

Adoption of AI-Driven Fraud Detection System in the Nigerian Banking Sector: An Analysis of Cost, Compliance, and Competency

Wearing face mask detection using deep learning through COVID-19 pandemic

Convolutional neural network models for cancer type prediction based on gene expression

Unsupervised Lesion Detection via Image Restoration with a Normative Prior

Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model

POLY-CAM: HIGH RESOLUTION CLASS ACTIVATION MAP FOR CONVOLUTIONAL NEURAL NETWORKS

Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning

Playing with Food: Learning Food Item Representations through Interactive Exploration

Bisimulation and Bisimilarity for Fuzzy Description Logics under the Gödel Semantics

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks

Feature Based Fuzzy Rule Base Design for Image Extraction

Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students

Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency

The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models

Learning Curves for Decision Making in Supervised Machine Learning: A Survey

Predicting Concentration Levels of Air Pollutants by Transfer Learning and Recurrent Neural Network

Phrase-based Image Captioning with Hierarchical LSTM Model

VIDEO LANGUAGE PLANNING

Trivial Transfer Learning for Low-Resource Neural Machine Translation

Towards Unsupervised Automatic Speech Recognition Trained by Unaligned Speech and Text Only

Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework

Dhan-Shomadhan: A Dataset of Rice Leaf Disease Classification for Bangladeshi Local Rice