Vikram Goyal

Artificial Intelligence · 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 Vikram Goyal trusts overall

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

1. Nils Reimers
2. Jeffrey Pennington
3. Jacob Devlin

Papers from Vikram Goyal's perspective

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

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

Their papers

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