#AI & Machine Learning

Multi-ACCDOA: Localizing and Detecting Overlapping Sounds from the Same Class with Auxiliary Duplicating Permutation Invariant Training

Stochastic Resource Allocation for Outage Minimization in Random Access with Correlated Activation

Grover search revisited; application to image pattern matching

Explainable AI using Neural Network Console

Spatial Cross-Attention RGB-D Fusion Module for Object Detection

Evaluating the Robustness of Off-Policy Evaluation

MM-Fit: Multimodal Deep Learning for Automatic Exercise Logging across Sensing Devices

Trends and prospects of quantum algorithms for industrial applications

Data Augmentation Methods for End-to-end Speech Recognition on Distant-Talk Scenarios

Manifold-Aware Deep Clustering: Maximizing Angles between Embedding Vectors Based on Regular Simplex

A Unified Model for Fingerprint Authentication and Presentation Attack Detection

Fundamental Exploration of Evaluation Metrics for Persona Characteristics of Text Utterances

Filter Pre-Pruning for Improved Fine-tuning of Quantized Deep Neural Networks

Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions

Out-of-Core Training for Extremely Large-Scale Neural Networks with Adaptive Window-Based Scheduling

Rethinking Noise Modeling in Extreme Low-Light Environments

Reference-Based Video Colorization with Spatiotemporal Correspondence

Densely connected multidilated convolutional networks for dense prediction tasks

Analog In-memory Computing in FeFET-based 1T1R Array for Edge AI Applications

Controllable Generative Model for Content Metadata Considering User Preferences

Adversarial Attacks on Audio Source Separation