Jihoon Tack

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 258 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 81 citations into it; #19,163 of 35,345 by trust here, #16,771 by citations
• Computer Vision and Pattern Recognition — 66 citations into it
• Representation & Self-Supervised Learning — 35 citations into it; #1,965 of 3,145 by trust here, #2,299 by citations
• Safety, Robustness & Interpretability — 29 citations into it
• Optimization & Training — 13 citations into it
• Computer Networks and Communications — 9 citations into it
• Model Architectures — 7 citations into it
• Signal Processing — 7 citations into it

Whom Jihoon Tack trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Christian Szegedy
5. Diederik P. Kingma
6. Yoshua Bengio
7. Dan Hendrycks
8. Ross B. Girshick
9. Yann LeCun
10. Ilya Sutskever

Who trusts Jihoon Tack overall

1. Gyuhak Kim
2. Sepideh Esmaeilpour
3. Changnan Xiao
4. Alexander Pan
5. Yiyou Sun
6. Chun-Liang Li
7. Xuefeng Du
8. Mengyu Wang
9. Hongxin Wei
10. Bing Liu

Papers from Jihoon Tack's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (2020) — 745 citations
• Adversarial Self-Supervised Contrastive Learning (2020) — 286 citations