Joshua Chin

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 99 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #2,612 of 35,345 by trust here, #5,359 by citations
• Representation & Self-Supervised Learning — 7 citations into it

Whom Joshua Chin trusts overall

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

1. Peter D. Turney
2. Thang Luong
3. Elia Bruni
4. Guy Halawi
5. Richard Socher

Who trusts Joshua Chin overall

1. Alon Talmor
2. Bill Yuchen Lin
3. Todor Mihaylov
4. Antoine Bosselut
5. Chenguang Zhu
6. Peter Clark
7. Michihiro Yasunaga
8. Bodhisattwa Prasad Majumder
9. Tuhin Chakrabarty
10. Hongming Zhang

Papers from Joshua Chin's perspective

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

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

Their papers

• ConceptNet 5.5: An Open Multilingual Graph of General Knowledge (2016) — 3,335 citations