Abbas Rahimi

Artificial Intelligence · 2011–2022

A researcher in the Science corpus: 6 papers; trusts 74 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it
• Computer Vision and Pattern Recognition — 55 citations into it
• Electrical and Electronic Engineering — 41 citations into it; #10,977 of 16,539 by trust here, #11,641 by citations
• Representation & Self-Supervised Learning — 35 citations into it
• Hardware and Architecture — 9 citations into it
• Cognitive Neuroscience — 7 citations into it
• Natural Language Processing — 7 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Abbas Rahimi trusts overall

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

1. John R. Nickolls
2. Pentti Kanerva
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. William (Bill) J. Dally
6. Yoshua Bengio
7. Alex Graves
8. Sepp Hochreiter
9. Kaiming He
10. Diederik P. Kingma

Who trusts Abbas Rahimi overall

1. Antonio Pullini
2. Davide Rossi
3. Francesco Conti

Papers from Abbas Rahimi's perspective

Ordered by how strongly the researchers Abbas Rahimi 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. Long Short-Term Memory
4. Learning Multiple Layers of Features from Tiny Images
5. ImageNet Large Scale Visual Recognition Challenge
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Constrained Few-shot Class-incremental Learning (2022) — 204 citations
• Robust high-dimensional memory-augmented neural networks (2020) — 123 citations
• In-memory hyperdimensional computing (2019) — 305 citations
• Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks (2022) — 10 citations
• A neuro-vector-symbolic architecture for solving Raven’s progressive matrices (2022) — 134 citations
• A fully-synthesizable single-cycle interconnection network for Shared-L1 processor clusters (2011) — 130 citations