Niranjan A. Subrahmanya
Artificial Intelligence · 2014–2020
A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it
- Signal Processing — 16 citations into it
- Speech & Audio — 15 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Optimization & Training — 10 citations into it
- Natural Language Processing — 8 citations into it
- Model Architectures — 7 citations into it
Whom Niranjan A. Subrahmanya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- J. Urgen Schmidhuber
- Sepp Hochreiter
- Dzmitry Bahdanau
- Kyunghyun Cho
- Tara N. Sainath
- Alex Graves
Papers from Niranjan A. Subrahmanya's perspective
Ordered by how strongly the researchers Niranjan A. Subrahmanya trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Distilling the Knowledge in a Neural Network (arXiv.org)
Their papers
- Synergies Between Quantum Mechanics and Machine Learning in Reaction Prediction (2016) — 61 citations
- Training Keyword Spotting Models on Non-IID Data with Federated Learning (2020) — 74 citations
- Streaming keyword spotting on mobile devices (2020) — 129 citations
- Multi-scale Graphical Models for Spatio-Temporal Processes (2014) — 17 citations