Gagan Bansal
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 7 papers; trusts 378 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 153 citations into it; #14,364 of 35,345 by trust here, #8,810 by citations
- Safety, Robustness & Interpretability — 68 citations into it; #1,271 of 2,251 by trust here, #1,119 by citations
- Computer Vision and Pattern Recognition — 45 citations into it
- Natural Language Processing — 28 citations into it
- Safety Research — 21 citations into it
- Human-Computer Interaction — 15 citations into it
- AI Ethics, Fairness & Society — 10 citations into it
- Health Informatics — 9 citations into it
Whom Gagan Bansal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Marco Tulio Ribeiro
- R. Caruana
- Diederik P. Kingma
- Christian Szegedy
- Yann LeCun
- Kaiming He
- Ilya Sutskever
Who trusts Gagan Bansal overall
- Vivian Lai
- Xinru Wang
- Q. Liao
- Zana Buçinca
- Sina Mohseni
- Da-Wei Zhou
- Kacper Sokol
- Han Liu
- Jianlong Zhou
- Tongshuang Sherry Wu
Papers from Gagan Bansal's perspective
Ordered by how strongly the researchers Gagan Bansal 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance (2020) — 965 citations
- The challenge of crafting intelligible intelligence (2018) — 265 citations
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework (2023) — 1,042 citations
- Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance (2019) — 564 citations
- Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff (2019) — 344 citations
- Intelligible Artificial Intelligence (2018) — 35 citations
- Explanatory Dialogs: Towards Actionable, Interactive Explanations (2018) — 7 citations