Suresh Sundaram

Artificial Intelligence · 2009–2021

A researcher in the Science corpus: 4 papers; trusts 97 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 80 citations into it; #31,888 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 60 citations into it; #10,262 of 21,575 by trust here, #15,955 by citations
• Representation & Self-Supervised Learning — 22 citations into it
• Radiology, Nuclear Medicine and Imaging — 20 citations into it
• Meta & Continual Learning — 13 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Generative Models — 9 citations into it
• Reinforcement Learning — 8 citations into it

Whom Suresh Sundaram trusts overall

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

1. James Kennedy
2. Jing J. Liang
3. Jaka Demsar
4. Ponnuthurai Nagaratnam Suganthan
5. Rui Mendes
6. Zhi-hui Zhan
7. Frans van den Bergh
8. Geoffrey E. Hinton
9. Changhe Li
10. Konstantinos E. Parsopoulos

Who trusts Suresh Sundaram overall

1. Xiaolong Li
2. Subhankar Ghosh
3. Weiming Zhang

Papers from Suresh Sundaram's perspective

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

Their papers

• Generative Replay-based Continual Zero-Shot Learning (2021) — 10 citations
• Generalized Continual Zero-Shot Learning (2020) — 12 citations
• Self regulating particle swarm optimization algorithm (2015) — 300 citations
• Reversible Watermarking Algorithm Using Sorting and Prediction (2009) — 987 citations