Sujith Ravi
Artificial Intelligence · 2012–2020
A researcher in the Science corpus: 9 papers; trusts 50 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 100 citations into it; #26,953 of 35,345 by trust here, #8,210 by citations
- Computer Vision and Pattern Recognition — 55 citations into it
- Natural Language Processing — 37 citations into it
- Representation & Self-Supervised Learning — 26 citations into it
- Optimization & Training — 13 citations into it
- Graph Learning — 9 citations into it
- ML Systems & Hardware — 5 citations into it
Whom Sujith Ravi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Thorsten Joachims
- Geoffrey E. Hinton
- Radford M. Neal
- Yoshua Bengio
- David M. Blei
- Joseph Dean
- Ilya Sutskever
- Michael I. Jordan
- Alex Krizhevsky
Who trusts Sujith Ravi overall
- Da-Cheng Juan
- Anjuli Kannan
- Chun-Ta Lu
- James Bradley Wendt
- Karol Kurach
- Michael Bendersky
- Futang Peng
- Iulian Serban
Papers from Sujith Ravi's perspective
Ordered by how strongly the researchers Sujith Ravi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Smart Reply: Automated Response Suggestion for Email (2016) — 338 citations
- Graph-RISE: Graph-Regularized Image Semantic Embedding (2019) — 43 citations
- Ultra Fine-Grained Image Semantic Embedding (2020) — 23 citations
- Low-Dimensional Hyperbolic Knowledge Graph Embeddings (2020) — 475 citations
- Hierarchical Label Propagation and Discovery for Machine Generated Email (2016) — 30 citations
- GoEmotions: A Dataset of Fine-Grained Emotions (2020) — 1,171 citations
- Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation (2015) — 50 citations
- Reducing the sampling complexity of topic models (2014) — 224 citations
- Revisiting the Predictability of Language: Response Completion in Social Media (2012) — 11 citations