Sanjay Podder

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Natural Language Processing — 23 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Model Architectures — 8 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Sanjay Podder trusts overall

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

1. Yoshua Bengio
2. Tomas Mikolov
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Sepp Hochreiter
6. Richard Socher
7. J. Urgen Schmidhuber
8. Christopher D. Manning
9. Sergey Ioffe
10. Ilya Sutskever

Papers from Sanjay Podder's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference (2016) — 13 citations