Search Results for author:
Found 19 papers, 11 papers with code
An Investigation of Darwiche and Pearl's Postulates for Iterated Belief Update
Firstly, we present a modification of the original KM postulates based on belief states.
AI-Generated Image Detection using a Cross-Attention Enhanced Dual-Stream Network
With the rapid evolution of AI Generated Content (AIGC), forged images produced through this technology are inherently more deceptive and require less human intervention compared to traditional Computer-generated Graphics (CG).
Enhancing Deep Knowledge Tracing with Auxiliary Tasks
In this paper, we proposed \emph{AT-DKT} to improve the prediction performance of the original deep knowledge tracing model with two auxiliary learning tasks, i. e., \emph{question tagging (QT) prediction task} and \emph{individualized prior knowledge (IK) prediction task}.
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
The results demonstrate that our approach is superior on the KT prediction task, and it outperforms a wide range of deep learning based KT models in terms of prediction accuracy with better model interpretability.
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
Knowledge tracing (KT) is the problem of predicting students' future performance based on their historical interactions with intelligent tutoring systems.
A Retrospect to Multi-prompt Learning across Vision and Language
The vision community is undergoing the unprecedented progress with the emergence of Vision-Language Pretraining Models (VLMs).
Wide & Deep Learning for Judging Student Performance in Online One-on-one Math Classes
In this paper, we investigate the opportunities of automating the judgment process in online one-on-one math classes.
Dual Stream Computer-Generated Image Detection Network Based On Channel Joint And Softpool
The proposed network architecture includes a residual module for extracting image noise information and a joint channel information extraction module for capturing the shallow semantic information of image.
SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners
Sentence completion (SC) questions present a sentence with one or more blanks that need to be filled in, three to five possible words or phrases as options.
DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments
In spite of the popularity and advantages of online learning, the education technology and educational data mining communities still suffer from the lack of large-scale, high-quality, and well-annotated teaching instruction datasets to study computational approaches to automatically detect online dialogic instructions and further improve the online teaching effectiveness.
A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning
We propose a simple but effective method to recommend exercises with high quality and diversity for students.
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
However, the success behind deep learning based knowledge tracing (DLKT) approaches is still left somewhat unknown and proper measurement and analysis of these DLKT approaches remain a challenge.
Universal Deep Network for Steganalysis of Color Image based on Channel Representation
The proposed method includes preprocessing, convolutional, and classification modules.
Improved Xception with Dual Attention Mechanism and Feature Fusion for Face Forgery Detection
Different from the middle flow in original Xception model, we try to catch different high-semantic features of the face images using different levels of convolution, and introduce the convolutional block attention module and feature fusion to refine and reorganize those high-semantic features.
Reinforcement Learning with Expert Trajectory For Quantitative Trading
In recent years, quantitative investment methods combined with artificial intelligence have attracted more and more attention from investors and researchers.
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks
However, the DL models may be prone to the membership inference attack, where an attacker determines whether a given sample is from the training dataset.
Fast and Effective Global Covariance Pooling Network for Image Steganalysis
To make a good tradeoff between training time and performance, we carefully design the architecture of the proposed network according to our extensive experiments.
Blind quantum computation for QFT on multi-qubit states
If a client wants to perform quantum computing but she does not have quantum computers with relevant quantum technologies.
Quantum Physics
Image Processing Operations Identification via Convolutional Neural Network
The extensive results show that the proposed method can outperform the currently best method based on hand crafted features and three related methods based on CNN for image steganalysis and/or forensics, achieving the state-of-the-art results.
