Murali Karthick Baskar

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 85 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 81 citations into it; #27,642 of 35,345 by trust here, #16,771 by citations
• Natural Language Processing — 46 citations into it; #5,612 of 5,688 by trust here, #4,601 by citations
• Speech & Audio — 42 citations into it; #732 of 1,076 by trust here, #579 by citations
• Signal Processing — 38 citations into it; #7,502 of 7,572 by trust here, #4,900 by citations
• Model Architectures — 29 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Murali Karthick Baskar trusts overall

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

1. Alex Graves
2. Dzmitry Bahdanau
3. Ilya Sutskever
4. Sepp Hochreiter
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Shinji Watanabe
8. Takaaki Hori
9. J. Urgen Schmidhuber
10. Matthew D. Zeiler

Who trusts Murali Karthick Baskar overall

1. Jinyu Li
2. Andros Tjandra
3. Peidong Wang
4. Nick Rossenbach
5. Yang Chen
6. Katsuki Inoue
7. Tatiana Likhomanenko
8. Tomoki Hayashi
9. Shinji Watanabe
10. Rohit Prabhavalkar

Papers from Murali Karthick Baskar's perspective

Ordered by how strongly the researchers Murali Karthick Baskar trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Transfer Learning of Language-independent End-to-end ASR with Language Model Fusion (2018) — 46 citations
• Multilingual Sequence-to-Sequence Speech Recognition: Architecture, Transfer Learning, and Language Modeling (2018) — 130 citations
• Semi-Supervised Sequence-to-Sequence ASR Using Unpaired Speech and Text (2019) — 30 citations
• Self-supervised Sequence-to-sequence ASR using Unpaired Speech and Text (2019) — 37 citations