Akshay Balsubramani

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Akshay Balsubramani trusts overall

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

  1. Peter L. Bartlett
  2. Marten H. Wegkamp
  3. L. Rogers
  4. Alekh Agarwal
  5. Vladimir Naumovich Vapnik
  6. Yaochu Jin
  7. Martin B. Haugh
  8. Eric R. Ziegel
  9. Lihong Li
  10. Chih-Jen Lin

Who trusts Akshay Balsubramani overall

  1. Steven R. Howard
  2. Aaditya Ramdas
  3. Ian Waudby-Smith
  4. Clément Louis Canonne
  5. Dan Garber
  6. Jon D. McAuliffe
  7. Bo Xie
  8. Laura Balzano
  9. Junfeng Wen
  10. Prateek Jain

Papers from Akshay Balsubramani's perspective

Ordered by how strongly the researchers Akshay Balsubramani 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers