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

A Quantum Model for Multilayer Perceptron

Imaging through scattering media by exploiting the optical memory effect: a tutorial

Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation

Meta Pseudo Labels

Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks

Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data

Emoji Prediction in Tweets using BERT

Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey

ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks

Pkwrap: a PyTorch Package for LF-MMI Training of Acoustic Models

The Rise of Blockchain Technology in Agriculture and Food Supply Chains

Master Functions and Equations for Perturbations of Vacuum Spherically-Symmetric Spacetimes

The dynamic impact of monetary policy on regional housing prices in the US: Evidence based on factor-augmented vector autoregressions

Statistical inference for time-changed Lévy processes via composite characteristic function estimation

EfficientDet: Scalable and Efficient Object Detection

ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond

Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control

Transformer-based Personalized Attention Mechanism for Medical Images with Clinical Records

Midterm Status Report of the ILC Technology Network Activities

The Deep Arbitrary Polynomial Chaos Neural Network: Or How Deep Artificial Neural Networks Could Benefit from Data-Driven Homogeneous Chaos Theory

Modeling Language Change in Historical Corpora: The Case of Portuguese

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

A Quantum Model for Multilayer Perceptron

Imaging through scattering media by exploiting the optical memory effect: a tutorial

Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation

Meta Pseudo Labels

Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks

Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data

Emoji Prediction in Tweets using BERT

Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey

ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks

Pkwrap: a PyTorch Package for LF-MMI Training of Acoustic Models

The Rise of Blockchain Technology in Agriculture and Food Supply Chains

Master Functions and Equations for Perturbations of Vacuum Spherically-Symmetric Spacetimes

The dynamic impact of monetary policy on regional housing prices in the US: Evidence based on factor-augmented vector autoregressions

Statistical inference for time-changed Lévy processes via composite characteristic function estimation

EfficientDet: Scalable and Efficient Object Detection

ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond

Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control

Transformer-based Personalized Attention Mechanism for Medical Images with Clinical Records

Midterm Status Report of the ILC Technology Network Activities

The Deep Arbitrary Polynomial Chaos Neural Network: Or How Deep Artificial Neural Networks Could Benefit from Data-Driven Homogeneous Chaos Theory

Modeling Language Change in Historical Corpora: The Case of Portuguese