Renkun Ni

Artificial Intelligence · 2020

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

• Artificial Intelligence — 20 citations into it

Whom Renkun Ni trusts

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

1. Sergey Levine (in Artificial Intelligence)
2. Pieter Abbeel (in Artificial Intelligence)

Papers from Renkun Ni's perspective

Ordered by how strongly the researchers Renkun Ni 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. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Matching Networks for One Shot Learning
6. Prototypical Networks for Few-shot Learning
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks (2020) — 83 citations