Nilaksh Das

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nilaksh Das trusts overall

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

  1. Alex Krizhevsky
  2. Nicolas Papernot
  3. Ian J. Goodfellow
  4. Geoffrey E. Hinton
  5. Patrick Drew McDaniel
  6. Seyed-Mohsen Moosavi-Dezfooli
  7. Christian Szegedy
  8. Ilya Sutskever
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Nilaksh Das overall

  1. Naveed Akhtar
  2. Nicholas Carlini
  3. Avishek Joey Bose
  4. Ajmal Saeed Mian
  5. A. Serban
  6. Dogancan Temel
  7. Shilin Qiu
  8. Zihao Liu
  9. Anand Bhattad
  10. David A. Wagner

Papers from Nilaksh Das's perspective

Ordered by how strongly the researchers Nilaksh Das 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. Long Short-Term Memory
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers