Tara Javidi

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 9 papers; trusts 454 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 623 citations into it; #32,027 of 35,345 by trust here, #2,892 by citations
• Optimization & Training — 174 citations into it
• Computer Vision and Pattern Recognition — 159 citations into it; #19,671 of 21,575 by trust here, #9,563 by citations
• Safety, Robustness & Interpretability — 121 citations into it
• Computer Networks and Communications — 97 citations into it
• Signal Processing — 51 citations into it
• Electrical and Electronic Engineering — 40 citations into it
• Computational Mechanics — 38 citations into it

Whom Tara Javidi trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Karen Simonyan
7. Yann LeCun
8. Shaoqing Ren
9. Diederik P. Kingma
10. Yoshua Bengio

Who trusts Tara Javidi overall

1. Anusha Lalitha
2. Fan Yang

Papers from Tara Javidi's perspective

Ordered by how strongly the researchers Tara Javidi 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification (2016) — 407 citations
• Adaptive Object Detection Using Adjacency and Zoom Prediction (2015) — 84 citations
• Advances and Open Problems in Federated Learning (2019) — 9,019 citations
• Decentralized Bayesian Learning over Graphs (2019) — 27 citations
• Peer-to-peer Federated Learning on Graphs (2019) — 228 citations
• A Field Guide to Federated Optimization (2021) — 487 citations
• DeepFense: Online Accelerated Defense Against Adversarial Deep Learning (2017) — 50 citations
• Learning via active hypothesis testing over networks (2017) — 4 citations
• Social learning and distributed hypothesis testing (2014) — 201 citations