Nabarun Goswami

Signal Processing · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Nabarun Goswami trusts overall

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

  1. Naoya Takahashi
  2. Emmanuel Vincent
  3. Stefan Uhlich
  4. Yuki Mitsufuji
  5. Jonathan Le Roux
  6. Yi Luo
  7. Alex Krizhevsky
  8. Sam T. Roweis
  9. Geoffrey E. Hinton
  10. Aditya Arie Nugraha

Who trusts Nabarun Goswami overall

  1. Hyeong-Seok Choi
  2. Jen-Yu Liu
  3. David Samuel
  4. Shota Horiguchi
  5. Alexandre D'efossez
  6. Pierre-Amaury Grumiaux

Papers from Nabarun Goswami's perspective

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

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

Their papers