Mugdha Pandya

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Mugdha Pandya trusts overall

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

  1. Aylin Caliskan
  2. Tomas Mikolov
  3. Jieyu Zhao
  4. Anne Lauscher
  5. Cristian Danescu-Niculescu-Mizil
  6. Radim Rehurek
  7. Hila Gonen

Who trusts Mugdha Pandya overall

  1. Gavin Abercrombie

Papers from Mugdha Pandya's perspective

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

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

Their papers