Papers with Code 아카이브

cognitive diagnosis

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

0

보존된 평가 기록

0

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/BW297/DFCD

공식 코드

A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments

https://github.com/LabyrinthineLeo/DISCO

공식 코드

DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation

https://github.com/NLPfreshman0/PSCRF

공식 코드

Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis

https://github.com/bigdata-ustc/NeuralCD

공식 코드

Neural Cognitive Diagnosis for Intelligent Education Systems

https://github.com/bigdata-ustc/Zero-1-to-3

공식 코드

Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives

https://github.com/bigdata-ustc/coral

공식 코드

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling

https://github.com/bigdata-ustc/educat

공식 코드

Survey of Computerized Adaptive Testing: A Machine Learning Perspective

https://github.com/bimk/intelligent-education

공식 코드

DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis

https://github.com/cslijt/id-cdf

공식 코드

Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm

https://github.com/devilyangs/emo-nas-cd

공식 코드

Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search

https://github.com/ecnu-ilog/lrcd

공식 코드

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis

https://github.com/goodaycoder/lldprogression

공식 코드

Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI

https://github.com/hubuers/diskcd

공식 코드

Disentangling Heterogeneous Knowledge Concept Embedding for Cognitive Diagnosis on Untested Knowledge

https://github.com/kellygong/camilla

공식 코드

Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms

https://github.com/lswhim/icdm

공식 코드

Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems

https://github.com/publisher-promptcd/promptcd

공식 코드

Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis

https://github.com/shaopengyang/isg-cd

공식 코드

Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education

https://github.com/shinkungoo/symboliccdm

공식 코드

Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems

https://github.com/thu-keg/mooc-radar

공식 코드

MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs

https://github.com/yevzh/llm4cd-release

공식 코드

LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis

https://github.com/ZhijieXiong/pyedmine

Neural Cognitive Diagnosis for Intelligent Education Systems

https://github.com/bigdata-ustc/rcd

Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives

https://github.com/bigdata-ustc/techcd

Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives

https://github.com/chsong513/DIRT

Enhancing Item Response Theory for Cognitive Diagnosis

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.