Kaiyi Ji

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 115 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it; #32,199 of 35,345 by trust here, #34,213 by citations
• Computer Vision and Pattern Recognition — 22 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Meta & Continual Learning — 13 citations into it
• Optimization & Training — 12 citations into it
• Management Science and Operations Research — 9 citations into it
• Reinforcement Learning — 8 citations into it
• Computational Mechanics — 6 citations into it

Whom Kaiyi Ji trusts overall

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

1. Chelsea Finn
2. Diederik P. Kingma
3. Sergey Levine
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Alex Krizhevsky
7. Jimmy Ba
8. Pieter Abbeel
9. Oriol Vinyals
10. John Schulman

Who trusts Kaiyi Ji overall

1. Ruichen Jiang
2. Junjie Yang
3. Nazanin Abolfazli
4. Mehdi Abbana Bennani

Papers from Kaiyi Ji's perspective

Ordered by how strongly the researchers Kaiyi Ji 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Bilevel Optimization: Convergence Analysis and Enhanced Design (2020) — 366 citations
• Multi-Step Model-Agnostic Meta-Learning: Convergence and Improved Algorithms (2020) — 52 citations