Sachindra Joshi
Artificial Intelligence · 2011–2020
A researcher in the Science corpus: 5 papers; trusts 79 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 78 citations into it; #22,530 of 35,345 by trust here, #15,866 by citations
- Natural Language Processing — 58 citations into it; #4,411 of 5,688 by trust here, #4,032 by citations
- Computer Vision and Pattern Recognition — 14 citations into it; #18,817 of 21,575 by trust here, #19,766 by citations
- Model Architectures — 14 citations into it
- Evaluation & Benchmarks — 11 citations into it
- Information Systems — 7 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Sachindra Joshi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Moses Charikar
- Monika Henzinger
- Pavel Berkhin
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Geoffrey E. Hinton
- Sepp Hochreiter
- Oriol Vinyals
- Timothy C. Hoad
Who trusts Sachindra Joshi overall
Papers from Sachindra Joshi's perspective
Ordered by how strongly the researchers Sachindra Joshi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Exemplar Encoder-Decoder for Neural Conversation Generation (2018) — 68 citations
- Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model (2017) — 119 citations
- Simulated Chats for Task-oriented Dialog: Learning to Generate Conversations from Instructions (2020) — 9 citations
- Multi-Level Memory for Task Oriented Dialogs (2018) — 63 citations
- Auto-grouping emails for faster e-discovery (2011) — 19 citations