V. Venktesh

Artificial Intelligence · with Goyal · 2021

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Natural Language Processing — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom V. Venktesh trusts overall

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

1. Nils Reimers
2. Jeffrey Pennington
3. Jacob Devlin
4. Iz Beltagy
5. Matteo Pagliardini
6. Richard Socher
7. Tomas Mikolov
8. Andrea Frome
9. Geoffrey E. Hinton
10. Yoshua Bengio

Papers from V. Venktesh's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy (2021) — 9 citations