Naveen Suda

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 6 papers; trusts 55 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 71 citations into it; #17,569 of 35,345 by trust here, #5,028 by citations
• Computer Vision and Pattern Recognition — 71 citations into it
• Electrical and Electronic Engineering — 34 citations into it
• Efficiency & Compression — 24 citations into it
• Model Architectures — 22 citations into it
• Signal Processing — 12 citations into it; #5,225 of 7,572 by trust here, #4,201 by citations
• Speech & Audio — 5 citations into it

Whom Naveen Suda trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Yoshua Bengio
5. Ilya Sutskever
6. Alex Graves
7. J. Urgen Schmidhuber
8. Sepp Hochreiter
9. Diederik P. Kingma
10. Kaiming He

Who trusts Naveen Suda overall

1. Manuele Rusci
2. Pete Warden
3. Md Maruf Hossain Shuvo
4. Liangzhen Lai
5. Yongming Shen
6. Ji Lin
7. Dan Stowell
8. Ahmad Shawahna
9. Yun Liang
10. Hardik Sharma

Papers from Naveen Suda's perspective

Ordered by how strongly the researchers Naveen Suda 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network (2017) — 561 citations
• Dream Distillation: A Data-Independent Model Compression Framework (2019) — 55 citations
• Hello Edge: Keyword Spotting on Microcontrollers (2017) — 505 citations
• Federated Learning with Non-IID Data (2018) — 3,343 citations
• Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks (2016) — 535 citations
• CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs (2018) — 489 citations