Hamed Haddadi
Artificial Intelligence · 2010–2021
A researcher in the Science corpus: 13 papers; trusts 715 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 367 citations into it; #11,942 of 35,345 by trust here, #10,566 by citations
- Computer Vision and Pattern Recognition — 194 citations into it; #14,671 of 21,575 by trust here, #15,529 by citations
- Computer Networks and Communications — 97 citations into it; #5,131 of 9,886 by trust here, #1,714 by citations
- Electrical and Electronic Engineering — 82 citations into it; #6,974 of 16,539 by trust here, #7,308 by citations
- Privacy & Security — 80 citations into it
- Signal Processing — 71 citations into it
- Safety, Robustness & Interpretability — 68 citations into it
- Model Architectures — 44 citations into it
Whom Hamed Haddadi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Kaiming He
- Alex Graves
- Karen Simonyan
- Christian Szegedy
Who trusts Hamed Haddadi overall
- Farshad Kooti
- Meeyoung Cha
- Mohammad Malekzadeh
- Fatemehsadat Mireshghallah
- Sandra González-Bailón
- Adrian Weller
- Olivier Toubia
- Jaram Park
- Krishna P. Gummadi
- Nasir Naveed
Papers from Hamed Haddadi's perspective
Ordered by how strongly the researchers Hamed Haddadi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Deep Learning in Mobile and Wireless Networking: A Survey (2018) — 1,535 citations
- Measuring User Influence in Twitter: The Million Follower Fallacy (2010) — 3,363 citations
- Deep Private-Feature Extraction (2018) — 107 citations
- Privacy and Utility Preserving Sensor-Data Transformations (2019) — 40 citations
- Information Exposure From Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach (2019) — 296 citations
- Human-Data Interaction: The Human Face of the Data-Driven Society (2014) — 224 citations
- PPFL: privacy-preserving federated learning with trusted execution environments (2021) — 317 citations
- DarkneTZ: towards model privacy at the edge using trusted execution environments (2020) — 240 citations
- PrivEdge: From Local to Distributed Private Training and Prediction (2020) — 21 citations
- Privacy-Preserving Bandits (2019) — 20 citations
- Mobile sensor data anonymization (2018) — 290 citations
- Protecting Sensory Data against Sensitive Inferences (2018) — 205 citations
- A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics (2017) — 266 citations