Accelerating Recurrent Neural Network Training using Sequence Bucketing and Multi-GPU Data Parallelization

That Message Went Viral?! Exploratory Analytics and Sentiment Analysis into the Propagation of Tweets

A dissemination workshop for introducing young Italian students to NLP

How Does A Text Preprocessing Pipeline Affect Ontology Matching?

A Comparative Study of Self-Supervised Speech Representations in Read and Spontaneous TTS

Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning

Sentiment Analysis in Twitter for Macedonian

Automatic Sound Event Detection and Classification of Great Ape Calls Using Neural Networks

How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact

DEYO: DETR with YOLO for End-to-End Object Detection

Venus Exploration Strategy

TensorFlow with user friendly Graphical Framework for object detection API

Personalized Representation from Personalized Generation

Tutorial on Answering Questions about Images with Deep Learning

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition

Neural Artistic Style Transfer with Conditional Adversarial Networks

A Compact Minimal Space Y Such That Its Square Y × Y Is Not Minimal

Quaternion Generative Adversarial Networks

Numerical Weather Forecasting using Convolutional-LSTM with Attention and Context Matcher Mechanisms

A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife

A Neural Representation of Sketch Drawings

The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models

Divisive-Agglomerative Algorithm and Complexity of Automatic Classification Problems

Test-time adaptable neural networks for robust medical image segmentation

Data Encoding for Byzantine-Resilient Distributed Optimization

Prediction of Coronary Heart Disease Using Routine Blood Tests

K+ Means: An Enhancement Over K-Means Clustering Algorithm

Finetuning with Very-large Dropout

AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation

Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex Network

Accelerating Recurrent Neural Network Training using Sequence Bucketing and Multi-GPU Data Parallelization

That Message Went Viral?! Exploratory Analytics and Sentiment Analysis into the Propagation of Tweets

A dissemination workshop for introducing young Italian students to NLP

How Does A Text Preprocessing Pipeline Affect Ontology Matching?

A Comparative Study of Self-Supervised Speech Representations in Read and Spontaneous TTS

Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning

Sentiment Analysis in Twitter for Macedonian

Automatic Sound Event Detection and Classification of Great Ape Calls Using Neural Networks

How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact

DEYO: DETR with YOLO for End-to-End Object Detection

Venus Exploration Strategy

TensorFlow with user friendly Graphical Framework for object detection API

Personalized Representation from Personalized Generation

Tutorial on Answering Questions about Images with Deep Learning

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition

Neural Artistic Style Transfer with Conditional Adversarial Networks

A Compact Minimal Space Y Such That Its Square Y × Y Is Not Minimal

Quaternion Generative Adversarial Networks

Numerical Weather Forecasting using Convolutional-LSTM with Attention and Context Matcher Mechanisms

A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife

A Neural Representation of Sketch Drawings

The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models

Divisive-Agglomerative Algorithm and Complexity of Automatic Classification Problems

Test-time adaptable neural networks for robust medical image segmentation

Data Encoding for Byzantine-Resilient Distributed Optimization

Prediction of Coronary Heart Disease Using Routine Blood Tests

K+ Means: An Enhancement Over K-Means Clustering Algorithm

Finetuning with Very-large Dropout

AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation

Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex Network