Kishlay Jha

Artificial Intelligence · 2018

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 Kishlay Jha trusts

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

  1. Yoon Kim (in Artificial Intelligence)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Karen Simonyan (in Computer Vision and Pattern Recognition)
  4. Li Fei-Fei (in Computer Vision and Pattern Recognition)

Who trusts Kishlay Jha

  1. Xinyi Zhou (in Information Systems)

Papers from Kishlay Jha's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. GENERATIVE ADVERSARIAL NETS
  3. Show and tell: A neural image caption generator
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Deep Visual-Semantic Alignments for Generating Image Descriptions
  7. Gradient-based learning applied to document recognition
  8. Natural Language Processing (Almost) from Scratch
  9. VQA: Visual Question Answering
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers