Vishal Thomas

Artificial Intelligence · 2022

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

Subfields

Whom Vishal Thomas trusts

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

  1. Sebastian Ruder (in Artificial Intelligence)
  2. Ning Qian (in Optimization & Training)
  3. Diederik P. Kingma (in Artificial Intelligence)
  4. Jimmy Ba (in Artificial Intelligence)

Who trusts Vishal Thomas

  1. Priyanka Mary Mammen (in Federated & Distributed Learning)

Papers from Vishal Thomas's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. LIBLINEAR: A Library for Large Linear Classification
  3. Communication-Efficient Learning of Deep Networks from Decentralized Data
  4. On the momentum term in gradient descent learning algorithms
  5. An overview of gradient descent optimization algorithms
  6. Federated Optimization: Distributed Machine Learning for On-Device Intelligence
  7. A Random Rotation Perturbation Approach to Privacy Preserving Data Classification
  8. ImageNet classification with deep convolutional neural networks
  9. Gradient-based learning applied to document recognition
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers