Rohit Chopra

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Natural Language Processing — 12 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Rohit Chopra trusts overall

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

1. Jeffrey Pennington
2. Jacob Devlin
3. A. Greenwald
4. Aylin Caliskan
5. Naman Agarwal
6. Junyuan Xie
7. Richard Socher
8. Ross B. Girshick
9. Marc-Etienne Brunet
10. Geoffrey E. Hinton

Papers from Rohit Chopra's perspective

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

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

Their papers

• Cross-Loss Influence Functions to Explain Deep Network Representations (2020) — 20 citations