Abhimanu Kumar

Artificial Intelligence · 2013–2014

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Abhimanu Kumar trusts overall

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

  1. Muthu Dayalan
  2. Qirong Ho
  3. Yehuda Koren
  4. Rainer Gemulla

Who trusts Abhimanu Kumar overall

  1. Eric P. Xing
  2. Wei Dai
  3. Qirong Ho

Papers from Abhimanu Kumar's perspective

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

  1. Et al
  2. Large Scale Distributed Deep Networks
  3. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
  4. Building high-level features using large scale unsupervised learning
  5. Parallelized Stochastic Gradient Descent
  6. MapReduce: simplified data processing on large clusters
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Matrix Factorization Techniques for Recommender Systems
  10. Learning the parts of objects by non-negative matrix factorization

Their papers