Hyo-Sang Shin

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hyo-Sang Shin trusts overall

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

  1. Navid Azizan
  2. Matthew Brand

Papers from Hyo-Sang Shin's perspective

Ordered by how strongly the researchers Hyo-Sang Shin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Continual Learning Through Synaptic Intelligence
  2. Measuring Catastrophic Forgetting in Neural Networks
  3. A Continual Learning Survey: Defying Forgetting in Classification Tasks (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  4. Memory Efficient Experience Replay for Streaming Learning
  5. Orthogonal Gradient Descent for Continual Learning
  6. Learn++: an incremental learning algorithm for supervised neural networks
  7. A Lifelong Learning Approach to Mobile Robot Navigation
  8. One-Pass Learning with Incremental and Decremental Features
  9. Distribution-Free One-Pass Learning
  10. Continual Deep Learning by Functional Regularisation of Memorable Past

Their papers