Vishrawas Gopalakrishnan

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Natural Language Processing — 27 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Information Systems — 7 citations into it

Whom Vishrawas Gopalakrishnan trusts overall

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

1. Geoffrey E. Hinton
2. Ilya Sutskever
3. Ruslan Salakhutdinov
4. Yoshua Bengio
5. Tomas Mikolov
6. Andriy Mnih
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Radford M. Neal
10. Yann LeCun

Papers from Vishrawas Gopalakrishnan's perspective

Ordered by how strongly the researchers Vishrawas Gopalakrishnan 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. 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

• A Survey on Context Learning (2017) — 1,654 citations