Ashish Anand

Artificial Intelligence · 2002–2017

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #17,494 of 35,345 by trust here, #19,873 by citations

Whom Ashish Anand trusts overall

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

1. Kalyanmoy Deb
2. Nikolaus Hansen
3. Alex Graves
4. Andreas Ostermeier
5. Sepp Hochreiter
6. Yoshua Bengio
7. Razvan Pascanu
8. Geoffrey E. Hinton
9. J. Urgen Schmidhuber
10. Ronan Collobert

Who trusts Ashish Anand overall

1. Kalyanmoy Deb
2. Nasimul Noman
3. Swagatam Das
4. Jing J. Liang
5. Manuel Lozano
6. Michael G. Epitropakis

Papers from Ashish Anand's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Dropout: a simple way to prevent neural networks from overfitting
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Generating Sequences With Recurrent Neural Networks
10. Going deeper with convolutions

Their papers

• A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization (2002) — 653 citations
• Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models (2017) — 38 citations