Manasi Vartak
Artificial Intelligence · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it
Whom Manasi Vartak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- W. Hoeffding
- Ruslan Salakhutdinov
- Chong Wang
- Oriol Vinyals
- Joannès Vermorel
- Sébastien Bubeck
- Geoffrey E. Hinton
- Jake Snell
- Philip Bachman
- Christopher R'e
Who trusts Manasi Vartak overall
- Fei Chen
- Han-Jia Ye
- Radwa El Shawi
- Neoklis Polyzotis
- Wei-Lun Chao
- Zhenhua Dong
- Steven Euijong Whang
- Micah Goldblum
- Sudip Roy
- Mohamed Maher
Papers from Manasi Vartak's perspective
Ordered by how strongly the researchers Manasi Vartak trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Meta-Learning Perspective on Cold-Start Recommendations for Items (2017) — 232 citations
- SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics (2015) — 318 citations