Yeongmin Cha

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yeongmin Cha trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jimmy Ba (in Artificial Intelligence)

Papers from Yeongmin Cha's perspective

Ordered by how strongly the researchers Yeongmin Cha trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Layer Normalization
  3. Understanding the difficulty of training deep feedforward neural networks
  4. Effective Approaches to Attention-based Neural Machine Translation
  5. Neural Collaborative Filtering
  6. Individualized Bayesian Knowledge Tracing Models (International Conference on Artificial Intelligence in Education)
  7. Knowledge tracing: Modeling the acquisition of procedural knowledge (User modeling and user-adapted interaction)
  8. EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction (IEEE Transactions on Knowledge and Data Engineering)
  9. More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing (International Conference on Intelligent Tutoring Systems)
  10. A Self Attentive model for Knowledge Tracing (Educational Data Mining)

Their papers