Gautam Mittal

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Gautam Mittal trusts overall

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

  1. Diederik P. Kingma
  2. Jesse Engel
  3. Geoffrey E. Hinton
  4. Yang Song
  5. Yoshua Bengio
  6. Jimmy Ba
  7. Alex Krizhevsky
  8. Sargur N. Srihari
  9. Adam Roberts
  10. Yann LeCun

Who trusts Gautam Mittal overall

  1. Arash Vahdat
  2. Chenlin Meng
  3. Jiaming Song
  4. Abhishek Sinha
  5. Y. Tashiro
  6. William Harvey
  7. Andrew Campbell
  8. Karsten Kreis
  9. Stefano Ermon
  10. Robin Strudel

Papers from Gautam Mittal's perspective

Ordered by how strongly the researchers Gautam Mittal 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers