Mohammad Abdul Azim

Representation & Self-Supervised Learning · 2022

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

Subfields

Whom Mohammad Abdul Azim trusts

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

  1. Deborah A. Maranville (in Representation & Self-Supervised Learning)

Papers from Mohammad Abdul Azim's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Multitask Learning
  4. A Survey on Transfer Learning
  5. Self-taught learning: transfer learning from unlabeled data
  6. Toward a perception-based theory of probabilistic reasoning with imprecise probabilities
  7. Transfer Learning for Reinforcement Learning Domains: A Survey
  8. Correcting Sample Selection Bias by Unlabeled Data
  9. Deep Visual Domain Adaptation: A Survey
  10. Transfer Learning for Visual Categorization: A Survey (IEEE Transactions on Neural Networks and Learning Systems)

Their papers