Pushpankar Kumar Pushp

2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Pushpankar Kumar Pushp trusts overall

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

1. Diederik P. Kingma
2. Richard Socher
3. Yequan Wang
4. Jimmy Ba
5. Geoffrey E. Hinton
6. Christopher D. Manning
7. Andrew Y. Ng
8. Yoshua Bengio
9. Milind Ganjoo
10. Minlie Huang

Who trusts Pushpankar Kumar Pushp overall

1. Ruiqi Zhong

Papers from Pushpankar Kumar Pushp's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Train Once, Test Anywhere: Zero-Shot Learning for Text Classification (2017) — 103 citations