Neeraj Varshney
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 5 papers; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 171 citations into it
- Natural Language Processing — 128 citations into it
- Evaluation & Benchmarks — 73 citations into it
- Computer Vision and Pattern Recognition — 71 citations into it
- Information Systems — 16 citations into it
- Safety, Robustness & Interpretability — 5 citations into it
Whom Neeraj Varshney trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dan Hendrycks
- Geoffrey E. Hinton
- Yoshua Bengio
- Jacob Devlin
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Samuel R. Bowman
- Alon Talmor
- Kaiming He
Who trusts Neeraj Varshney overall
Papers from Neeraj Varshney's perspective
Ordered by how strongly the researchers Neeraj Varshney trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks (2022) — 1,112 citations
- NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks (2022) — 152 citations
- Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings (2022) — 68 citations
- Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks (2022) — 156 citations
- Towards Question Format Independent Numerical Reasoning: A Set of Prerequisite Tasks (2020) — 14 citations