Rita Chattopadhyay

Representation & Self-Supervised Learning · 2011

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Rita Chattopadhyay trusts overall

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

  1. Hal Daumé Iii
  2. Sinno Jialin Pan
  3. Christopher K. I. Williams
  4. John Blitzer
  5. Lixin Duan
  6. Jonghwa Kim
  7. Yishay Mansour
  8. Jing Gao
  9. Ivor Wai-Hung Tsang
  10. Jiayuan Huang

Who trusts Rita Chattopadhyay overall

  1. Gabriella Csurka
  2. Xuezhi Wang
  3. Sebastian Ruder
  4. Jeff Schneider
  5. Zirui Wang
  6. Boqing Gong
  7. Shiliang Sun
  8. Parsa Ghaffari
  9. Mingsheng Long

Papers from Rita Chattopadhyay's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers