Aaksha Meghawat

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #15,056 of 35,345 by trust here, #19,439 by citations

Whom Aaksha Meghawat trusts overall

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

1. Diederik P. Kingma
2. Louis-philippe Morency
3. Tomas Mikolov
4. Charles E. McCulloch
5. Soujanya Poria
6. Florian Eyben
7. Tadas Baltrusaitis
8. Janyce Wiebe
9. Erik Cambria
10. Max Welling

Who trusts Aaksha Meghawat overall

1. Haohan Wang
2. Amir Zadeh
3. Percy Liang
4. Ringki Das
5. Zhun Liu

Papers from Aaksha Meghawat's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Efficient Estimation of Word Representations in Vector Space
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Select-additive learning: Improving generalization in multimodal sentiment analysis (2016) — 176 citations