Saachi Jain

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it
• Computer Vision and Pattern Recognition — 47 citations into it
• Natural Language Processing — 31 citations into it; #4,313 of 5,688 by trust here, #2,930 by citations

Whom Saachi Jain trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Diederik P. Kingma
5. Kaiming He
6. Christian Szegedy
7. Ilya Sutskever
8. Yann LeCun
9. Karen Simonyan
10. Ross B. Girshick

Who trusts Saachi Jain overall

1. Kurt Shuster
2. Prithviraj Ammanabrolu

Papers from Saachi Jain's perspective

Ordered by how strongly the researchers Saachi Jain 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. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Distilling Model Failures as Directions in Latent Space (2022) — 102 citations
• Learning to Speak and Act in a Fantasy Text Adventure Game (2019) — 226 citations