Kaustubh R. Patil

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kaustubh R. Patil trusts overall

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

  1. Xiaojin Zhu
  2. Matthew J. C. Crump
  3. John V. McDonnell
  4. Harold Pashler
  5. Sally A. Goldman
  6. Frank J. Balbach

Who trusts Kaustubh R. Patil overall

  1. Xiaojin Zhu
  2. Shike Mei
  3. Edward Johns
  4. Claudio Gambella
  5. Oisin Mac Aodha
  6. Bissan Ghaddar
  7. Anette Hunziker

Papers from Kaustubh R. Patil's perspective

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

  1. Curriculum learning
  2. On the complexity of teaching
  3. Dataset Shift in Machine Learning
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. How Do Humans Teach: On Curriculum Learning and Teaching Dimension
  8. Gradient-based learning applied to document recognition
  9. Recent Developments in Algorithmic Teaching
  10. ImageNet: A large-scale hierarchical image database

Their papers