Jaspreet Singh

Artificial Intelligence · with Anand · 2018

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #21,000 of 35,345 by trust here, #29,412 by citations
• Safety, Robustness & Interpretability — 12 citations into it
• Natural Language Processing — 7 citations into it

Whom Jaspreet Singh trusts overall

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

1. Marco Tulio Ribeiro
2. Sameer Singh
3. Tao Qin
4. Daniel Lowd
5. David Alvarez-Melis
6. Carlos Guestrin
7. Eric T. Nalisnick
8. Jiafeng Guo
9. Geoffrey E. Hinton
10. Tommi S. Jaakkola

Who trusts Jaspreet Singh overall

1. Roberto Confalonieri
2. Yongfeng Zhang
3. Ludovik Çoba
4. Benedikt Wagner

Papers from Jaspreet Singh's perspective

Ordered by how strongly the researchers Jaspreet Singh 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• EXS: Explainable Search Using Local Model Agnostic Interpretability (2018) — 117 citations
• Posthoc Interpretability of Learning to Rank Models using Secondary Training Data (2018) — 48 citations