Thijs Laarhoven

Information Retrieval & Search · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Thijs Laarhoven trusts overall

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

  1. Hanan Samet
  2. Alexandr Andoni
  3. Anirban Dasgupta

Who trusts Thijs Laarhoven overall

  1. Krzysztof Marcin Choromanski
  2. Clement Fung
  3. Daniel J. Bernstein
  4. Mark Rowland
  5. Nikita Kitaev
  6. J. Ainslie

Papers from Thijs Laarhoven's perspective

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

  1. Product Quantization for Nearest Neighbor Search
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Feature hashing for large scale multitask learning
  5. Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search (Very Large Data Bases Conference)
  6. The Fast Johnson--Lindenstrauss Transform and Approximate Nearest Neighbors
  7. Learning Multiple Layers of Features from Tiny Images
  8. Foundations of multidimensional and metric data structures
  9. Fast locality-sensitive hashing
  10. Gradient-based learning applied to document recognition

Their papers