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Found 8 papers, 1 papers with code
Minimally-Supervised Relation Induction from Pre-trained Language Model
In this paper, we propose a novel method to induce relation with BERT under the minimally-supervised setting.
Generalized Deepfakes Detection with Reconstructed-Blended Images and Multi-scale Feature Reconstruction Network
The growing diversity of digital face manipulation techniques has led to an urgent need for a universal and robust detection technology to mitigate the risks posed by malicious forgeries.
Face Forgery Detection Based on Facial Region Displacement Trajectory Series
We introduce a method for detecting manipulated videos that is based on the trajectory of the facial region displacement.
Incomplete Multi-View Weak-Label Learning with Noisy Features and Imbalanced Labels
A variety of modern applications exhibit multi-view multi-label learning, where each sample has multi-view features, and multiple labels are correlated via common views.
Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving
Abstract— In this paper, a novel system architecture including a massive multi-input multi-output (MIMO) or a reconfigurable intelligent surface (RIS) and multiple autonomous vehicles is considered in vehicle location systems.
Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data
Prerequisite relations among concepts are crucial for educational applications, such as curriculum planning and intelligent tutoring.
Structural Estimation of Partially Observable Markov Decision Processes
In this context, replacement decisions must be made under partial/imperfect information on the true state (i. e. condition of the equipment).
MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification
Multi-Label Classification toolbox is a MATLAB/OCTAVE library for Multi-Label Classification (MLC).
