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

Factor Analysis on Citations, Using a Combined Latent and Logistic Regression Model

BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion

Learning to Predict Gradients for Semi-Supervised Continual Learning

Task-Specific Data Augmentation and Inference Processing for VIPriors Instance Segmentation Challenge

Face Attributes as Cues for Deep Face Recognition Understanding

Towards Intelligent Interactive Theatre: Drama Management as a Way of Handling Performance

Surgical Repair of Collapsed Attention Heads in ALiBi Transformers

r-GAT: Relational Graph Attention Network for Multi-Relational Graphs

Exploring coherent elastic neutrino-nucleus scattering of reactor neutrinos with the NUCLEUS experiment

A Long Short-Term Memory (LSTM) Model for Business Sentiment Analysis Based on Recurrent Neural Network

Exemplar Normalization for Learning Deep Representation

Extended Batch Normalization

Rotary Positional Embeddings as Phase Modulation: Theoretical Bounds on the RoPE Base for Long-Context Transformers

Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction

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

Factor Analysis on Citations, Using a Combined Latent and Logistic Regression Model

BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion

Learning to Predict Gradients for Semi-Supervised Continual Learning

Task-Specific Data Augmentation and Inference Processing for VIPriors Instance Segmentation Challenge

Face Attributes as Cues for Deep Face Recognition Understanding

Towards Intelligent Interactive Theatre: Drama Management as a Way of Handling Performance

Surgical Repair of Collapsed Attention Heads in ALiBi Transformers

r-GAT: Relational Graph Attention Network for Multi-Relational Graphs

Exploring coherent elastic neutrino-nucleus scattering of reactor neutrinos with the NUCLEUS experiment

A Long Short-Term Memory (LSTM) Model for Business Sentiment Analysis Based on Recurrent Neural Network

Exemplar Normalization for Learning Deep Representation

Extended Batch Normalization

Rotary Positional Embeddings as Phase Modulation: Theoretical Bounds on the RoPE Base for Long-Context Transformers

Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction