L. Varshney
Artificial Intelligence · 2008–2020
A researcher in the Science corpus: 9 papers; trusts 161 researchers and is trusted by 84 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 165 citations into it; #5,650 of 35,345 by trust here, #3,842 by citations
- Natural Language Processing — 110 citations into it
- Computer Vision and Pattern Recognition — 57 citations into it; #14,594 of 21,575 by trust here, #19,766 by citations
- Molecular Biology — 42 citations into it
- Safety, Robustness & Interpretability — 42 citations into it
- Large Language Models — 30 citations into it; #202 of 799 by trust here, #307 by citations
- Representation & Self-Supervised Learning — 25 citations into it
- Computational Biology & Bioinformatics — 24 citations into it
Whom L. Varshney trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alec Radford
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Richard Socher
- Yann LeCun
- Jacob Devlin
Who trusts L. Varshney overall
- Rui Zhang
- Zhiguo Ding
- Xun Zhou
- Hyungsik Ju
- Pulkit Grover
- Chin Keong Ho
- Bruno Clerckx
- Liang Liu
- Kaibin Huang
- Derrick Wing Kwan Ng
Papers from L. Varshney's perspective
Ordered by how strongly the researchers L. Varshney trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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
- CTRL: A Conditional Transformer Language Model for Controllable Generation (2019) — 1,445 citations
- Pretrained AI Models: Performativity, Mobility, and Change (2019) — 25 citations
- Transporting information and energy simultaneously (2008) — 1,772 citations
- BERTology Meets Biology: Interpreting Attention in Protein Language Models (2020) — 381 citations
- Limits of Detecting Text Generated by Large-Scale Language Models (2020) — 23 citations
- Limits of Deepfake Detection: A Robust Estimation Viewpoint (2019) — 51 citations
- A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering (2018)
- A framework for Bayesian optimality of psychophysical laws (2012) — 73 citations
- Structural Properties of the Caenorhabditis elegans Neuronal Network (2009) — 942 citations