Ajay Mandlekar

Artificial Intelligence · 2017–2025

A researcher in the Science corpus: 17 papers; trusts 412 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Ajay Mandlekar trusts overall

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

  1. Sergey Levine
  2. Pieter Abbeel
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. E. Todorov
  9. Richard S. Sutton
  10. Dean A. Pomerleau

Who trusts Ajay Mandlekar overall

  1. Soroush Nasiriany
  2. Danfei Xu
  3. Yuke Zhu
  4. Linxi (Jim) Fan
  5. Sudeep Dasari
  6. Li Fei-Fei
  7. Avi Singh
  8. Abhinav Kumar Gupta
  9. Chen Wang
  10. Roberto Mart'in-Mart'in

Papers from Ajay Mandlekar's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers