Sriram Srinivasan
Signal Processing · with Cutler · 2019–2022
A researcher in the Science corpus: 7 papers; trusts 24 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 101 citations into it; #2,495 of 7,572 by trust here, #1,388 by citations
- Artificial Intelligence — 55 citations into it; #14,848 of 35,345 by trust here, #13,544 by citations
- Computational Mechanics — 37 citations into it
- Speech & Audio — 35 citations into it; #1,025 of 1,076 by trust here, #980 by citations
- Cognitive Neuroscience — 27 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Biomedical Engineering — 7 citations into it; #2,838 of 10,734 by trust here, #4,052 by citations
- Electrical and Electronic Engineering — 6 citations into it
Whom Sriram Srinivasan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Sriram Srinivasan overall
Papers from Sriram Srinivasan's perspective
Ordered by how strongly the researchers Sriram Srinivasan trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- A scalable noisy speech dataset and online subjective test framework (2019) — 186 citations
- The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results (2020) — 460 citations
- Interspeech 2021 Deep Noise Suppression Challenge (2021) — 206 citations
- Icassp 2022 Deep Noise Suppression Challenge (2022) — 237 citations
- ICASSP 2021 Deep Noise Suppression Challenge (2020) — 161 citations
- The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework (2020) — 91 citations
- Interactive Speech and Noise Modeling for Speech Enhancement (2020) — 114 citations