Goutham Ramakrishnan
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 100 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 54 citations into it; #17,983 of 35,345 by trust here, #19,873 by citations
- Safety, Robustness & Interpretability — 31 citations into it
- Natural Language Processing — 27 citations into it
- Signal Processing — 27 citations into it
- Information Systems — 10 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Software — 6 citations into it
Whom Goutham Ramakrishnan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Yoshua Bengio
- Geoffrey E. Hinton
- Uri Alon
- Ian J. Goodfellow
- Miltiadis Allamanis
- Kyunghyun Cho
- Christian Szegedy
- Alex Krizhevsky
- Sepp Hochreiter
Who trusts Goutham Ramakrishnan overall
Papers from Goutham Ramakrishnan's perspective
Ordered by how strongly the researchers Goutham Ramakrishnan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- BAE: BERT-based Adversarial Examples for Text Classification (2020) — 669 citations
- Backdoors in Neural Models of Source Code (2020) — 75 citations