Deep Attentive Model for Knowledge Tracing

Deep Attentive Model for Knowledge Tracing

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:AAAI Conference on Artificial Intelligence (37. : 2023 : Washington, DC; Online) 37th AAAI Conference on Artificial Intelligence (AAAI-23) ; Volume 8, part 2 of 2
1. Verfasser: Wang, Xinping (VerfasserIn)
Weitere Verfasser: Chen, Liangyu (VerfasserIn), Zhang, Min (VerfasserIn)
Pages:37
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2023
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Sparse Coding in a Dual Memory System for Lifelong Learning 2023 Sarfraz, Fahad
Multi-Source Survival Domain Adaptation 2023 Shaker, Ammar
What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes 2023 Sharma, Shivam
Exploration via Epistemic Value Estimation 2023 Schmitt, Simon
Neighbor Contrastive Learning on Learnable Graph Augmentation 2023 Shen, Xiao
Post-hoc Uncertainty Learning Using a Dirichlet 2023 Shen, Maohao
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies 2023 Shen, Yu
Fixed-Weight Difference Target Propagation 2023 Shibuya, Tatsukichi
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes 2023 Shu, Senlin
Domain Adaptation with Adversarial Training on Penultimate Activations 2023 Sun, Tao
Heterogeneous Graph Masked Autoencoders 2023 Tian, Yijun
Unbalanced CO-optimal Transport 2023 Tran, Quang Huy
A Fair Generative Model Using LeCam Divergence 2023 Um, Soobin
Policy-Adaptive Estimator Selection for Off-Policy Evaluation 2023 Udagawa, Takuma
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning 2023 Wang, Mingyang
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference 2023 Wang, Yabin
Distributed Projection-Free Online Learning for Smooth and Convex Losses 2023 Wang, Yibo
Fast Offline Policy Optimization for Large Scale Recommendation 2023 Sakhi, Otmane
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning 2023 Sheng, Xiaoxiao
Adaptive Mixing of Auxiliary Losses in Supervised Learning 2023 Sivasubramanian, Durga
Alle Artikel auflisten