Milind Ganjoo

Representation & Self-Supervised Learning · 2013

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 555 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 17 citations into it; #587 of 3,145 by trust here, #535 by citations
• Natural Language Processing — 15 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it; #1,811 of 21,575 by trust here, #2,976 by citations

Whom Milind Ganjoo trusts overall

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

1. Geoffrey E. Hinton
2. Li Fei-Fei
3. Yoshua Bengio
4. Richard Socher
5. Ruslan Salakhutdinov
6. Alex Krizhevsky
7. Nitish Srivastava
8. Hinrich Schütze
9. Andrew Y. Ng
10. Adam Coates

Who trusts Milind Ganjoo overall

1. Zeynep Akata
2. Yanwei Fu
3. Yongqin Xian
4. Mohammad Rostami
5. Soravit Changpinyo
6. Marco Baroni
7. Tao A. Xiang
8. Wei-Lun Chao
9. Bernt Schiele
10. Kaiyang Zhou

Papers from Milind Ganjoo's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Zero-Shot Learning Through Cross-Modal Transfer (2013) — 1,533 citations