Vaishnavi Gupta

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vaishnavi Gupta trusts

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

  1. Jure Leskovec (in Graph Learning)
  2. Diederik P. Kingma (in Artificial Intelligence)
  3. Jimmy Ba (in Artificial Intelligence)

Papers from Vaishnavi Gupta's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. GloVe: Global Vectors for Word Representation
  6. ImageNet classification with deep convolutional neural networks
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers