Hyunsub Kim

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hyunsub Kim trusts overall

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

  1. Pang Wei Koh

Papers from Hyunsub Kim's perspective

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

  1. Understanding Black-box Predictions via Influence Functions
  2. Stronger data poisoning attacks break data sanitization defenses
  3. Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection
  4. The Frontiers of Fairness in Machine Learning
  5. AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
  6. HoloClean: Holistic Data Repairs with Probabilistic Inference
  7. Data Management Challenges in Production Machine Learning
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ImageNet classification with deep convolutional neural networks
  10. Gradient-based learning applied to document recognition

Their papers