Tanmay Garg

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it
• Safety, Robustness & Interpretability — 43 citations into it
• Natural Language Processing — 40 citations into it
• Communication — 10 citations into it

Whom Tanmay Garg trusts overall

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

1. Zeerak Talat
2. Michael Wiegand
3. Xisen Jin
4. Maarten Sap
5. Su Lin Blodgett
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Diederik P. Kingma
9. Swabha Swayamdipta
10. Brendan Kennedy

Papers from Tanmay Garg's perspective

Ordered by how strongly the researchers Tanmay Garg 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. ImageNet classification with deep convolutional neural networks
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Handling Bias in Toxic Speech Detection: A Survey (2022) — 133 citations