Patrick Yin

Artificial Intelligence · 2022–2024

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Computer Vision and Pattern Recognition — 38 citations into it
• Reinforcement Learning — 33 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Patrick Yin trusts overall

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

1. Sascha Lange
2. Ilya Kostrikov
3. Pablo Samuel Castro
4. Martin A. Riedmiller

Papers from Patrick Yin's perspective

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

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

Their papers

• DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset (2024) — 905 citations
• Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning (2022) — 47 citations