Sri Harish Reddy Mallidi
Artificial Intelligence · 2014–2021
A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it; #20,024 of 35,345 by trust here, #17,776 by citations
- Model Architectures — 16 citations into it
Whom Sri Harish Reddy Mallidi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Nitish Srivastava
- Sepp Hochreiter
- Dzmitry Bahdanau
- J. Urgen Schmidhuber
- Karen Simonyan
Who trusts Sri Harish Reddy Mallidi overall
Papers from Sri Harish Reddy Mallidi's perspective
Ordered by how strongly the researchers Sri Harish Reddy Mallidi trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Dropout: a simple way to prevent neural networks from overfitting
Their papers
- Multilingual Sequence-to-Sequence Speech Recognition: Architecture, Transfer Learning, and Language Modeling (2018) — 130 citations
- Novel neural network based fusion for multistream ASR (2016) — 32 citations
- Neural Network Bottleneck Features for Language Identification (2014) — 142 citations
- Attention-based Neural Beamforming Layers for Multi-channel Speech Recognition (2021)