Vijay Garla

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vijay Garla trusts overall

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

  1. Mikhail Belkin
  2. Thorsten Joachims
  3. Stefano Melacci
  4. Vikas Sindhwani
  5. Lawrence K. Saul
  6. Partha Niyogi
  7. Olivier Chapelle
  8. Isaac S. Kohane
  9. Kilian Q. Weinberger

Who trusts Vijay Garla overall

  1. Zhengping Che
  2. Yu Cheng

Papers from Vijay Garla's perspective

Ordered by how strongly the researchers Vijay Garla 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. 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. Transductive Inference for Text Classification using Support Vector Machines
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers