Aritra Dasgupta

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #27,173 of 35,345 by trust here, #26,682 by citations
• Computer Vision and Pattern Recognition — 20 citations into it; #13,061 of 21,575 by trust here, #12,689 by citations
• Safety, Robustness & Interpretability — 18 citations into it

Whom Aritra Dasgupta trusts overall

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

1. David Martens
2. Josua Krause
3. Harry Zhang
4. Trevor J. Hastie
5. Kaiming He
6. Paulo Cortez
7. Saleema Amershi
8. Marco Tulio Ribeiro
9. Bart Baesens
10. Leo Breiman

Who trusts Aritra Dasgupta overall

1. Sina Mohseni
2. Eric D. Ragan
3. Oscar Gomez
4. Yongsu Ahn

Papers from Aritra Dasgupta's perspective

Ordered by how strongly the researchers Aritra Dasgupta 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. Gradient-based learning applied to document recognition
4. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
5. Random Forests
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations (2017) — 100 citations
• Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations (2017) — 74 citations